id	sid	tid	token	lemma	pos
brj-23798	1	1	peer	peer	NOUN
brj-23798	1	2	-	-	PUNCT
brj-23798	1	3	review	review	NOUN
brj-23798	1	4	article	article	NOUN
brj-23798	1	5	peer	peer	NOUN
brj-23798	1	6	-	-	PUNCT
brj-23798	1	7	reviewed	review	VERB
brj-23798	1	8	article	article	NOUN
brj-23798	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	1	10	owens	owens	PROPN
brj-23798	1	11	et	et	PROPN
brj-23798	1	12	al	al	PROPN
brj-23798	1	13	.	.	PROPN
brj-23798	2	1	(	(	PUNCT
brj-23798	2	2	2024	2024	NUM
brj-23798	2	3	)	)	PUNCT
brj-23798	2	4	.	.	PUNCT
brj-23798	3	1	“	"	PUNCT
brj-23798	3	2	computer	computer	NOUN
brj-23798	3	3	-	-	PUNCT
brj-23798	3	4	vision	vision	NOUN
brj-23798	3	5	wood	wood	NOUN
brj-23798	3	6	id	id	NOUN
brj-23798	3	7	-	-	ADJ
brj-23798	3	8	ing	ing	ADJ
brj-23798	3	9	,	,	PUNCT
brj-23798	3	10	”	"	PUNCT
brj-23798	3	11	bioresources	bioresource	NOUN
brj-23798	3	12	19(4	19(4	NUM
brj-23798	3	13	)	)	PUNCT
brj-23798	3	14	,	,	PUNCT
brj-23798	3	15	9741	9741	NUM
brj-23798	3	16	-	-	SYM
brj-23798	3	17	9772	9772	NUM
brj-23798	3	18	.	.	PUNCT
brj-23798	4	1	9741	9741	NUM
brj-23798	4	2	predicting	predict	VERB
brj-23798	4	3	hardwood	hardwood	NOUN
brj-23798	4	4	porosity	porosity	NOUN
brj-23798	4	5	domains	domain	NOUN
brj-23798	4	6	:	:	PUNCT
brj-23798	4	7	toward	toward	ADP
brj-23798	4	8	cascading	cascade	VERB
brj-23798	4	9	computer	computer	NOUN
brj-23798	4	10	-	-	PUNCT
brj-23798	4	11	vision	vision	NOUN
brj-23798	4	12	wood	wood	NOUN
brj-23798	4	13	identification	identification	NOUN
brj-23798	4	14	models	model	NOUN
brj-23798	4	15	frank	frank	PROPN
brj-23798	4	16	c.	c.	PROPN
brj-23798	4	17	owens	owens	PROPN
brj-23798	4	18	,	,	PUNCT
brj-23798	4	19	a	a	PRON
brj-23798	4	20	,	,	PUNCT
brj-23798	4	21	*	*	PUNCT
brj-23798	4	22	prabu	prabu	NOUN
brj-23798	4	23	ravindran	ravindran	NOUN
brj-23798	4	24	,	,	PUNCT
brj-23798	4	25	b	b	NOUN
brj-23798	4	26	,	,	PUNCT
brj-23798	4	27	c	c	PROPN
brj-23798	4	28	adriana	adriana	PROPN
brj-23798	4	29	costa	costa	PROPN
brj-23798	4	30	,	,	PUNCT
brj-23798	4	31	a	a	DET
brj-23798	4	32	rubin	rubin	PROPN
brj-23798	4	33	shmulsky	shmulsky	PROPN
brj-23798	4	34	,	,	PUNCT
brj-23798	4	35	a	a	DET
brj-23798	4	36	and	and	CCONJ
brj-23798	4	37	alex	alex	PROPN
brj-23798	4	38	c.	c.	PROPN
brj-23798	4	39	wiedenhoeft	wiedenhoeft	VERB
brj-23798	4	40	a	a	DET
brj-23798	4	41	,	,	PUNCT
brj-23798	4	42	b	b	NOUN
brj-23798	4	43	,	,	PUNCT
brj-23798	4	44	c	c	NOUN
brj-23798	4	45	,	,	PUNCT
brj-23798	4	46	d	d	NOUN
brj-23798	4	47	,	,	PUNCT
brj-23798	4	48	e	e	PROPN
brj-23798	4	49	prior	prior	ADJ
brj-23798	4	50	work	work	NOUN
brj-23798	4	51	on	on	ADP
brj-23798	4	52	computer	computer	NOUN
brj-23798	4	53	-	-	PUNCT
brj-23798	4	54	vision	vision	NOUN
brj-23798	4	55	wood	wood	NOUN
brj-23798	4	56	identification	identification	NOUN
brj-23798	4	57	(	(	PUNCT
brj-23798	4	58	cvwid	cvwid	NOUN
brj-23798	4	59	)	)	PUNCT
brj-23798	4	60	for	for	ADP
brj-23798	4	61	north	north	ADJ
brj-23798	4	62	american	american	ADJ
brj-23798	4	63	hardwoods	hardwood	NOUN
brj-23798	4	64	yielded	yield	VERB
brj-23798	4	65	two	two	NUM
brj-23798	4	66	independent	independent	ADJ
brj-23798	4	67	deep	deep	ADJ
brj-23798	4	68	learning	learning	NOUN
brj-23798	4	69	models	model	NOUN
brj-23798	4	70	–	–	PUNCT
brj-23798	4	71	a	a	DET
brj-23798	4	72	22	22	NUM
brj-23798	4	73	-	-	PUNCT
brj-23798	4	74	class	class	NOUN
brj-23798	4	75	model	model	NOUN
brj-23798	4	76	for	for	ADP
brj-23798	4	77	diffuse	diffuse	NOUN
brj-23798	4	78	-	-	PUNCT
brj-23798	4	79	porous	porous	ADJ
brj-23798	4	80	woods	wood	NOUN
brj-23798	4	81	and	and	CCONJ
brj-23798	4	82	a	a	DET
brj-23798	4	83	17	17	NUM
brj-23798	4	84	-	-	PUNCT
brj-23798	4	85	class	class	NOUN
brj-23798	4	86	model	model	NOUN
brj-23798	4	87	for	for	ADP
brj-23798	4	88	ringporous	ringporous	ADJ
brj-23798	4	89	woods	wood	NOUN
brj-23798	4	90	–	–	PUNCT
brj-23798	4	91	but	but	CCONJ
brj-23798	4	92	did	do	AUX
brj-23798	4	93	not	not	PART
brj-23798	4	94	address	address	VERB
brj-23798	4	95	semi	semi	ADJ
brj-23798	4	96	-	-	ADJ
brj-23798	4	97	ring	ring	ADJ
brj-23798	4	98	-	-	PUNCT
brj-23798	4	99	porous	porous	ADJ
brj-23798	4	100	woods	wood	NOUN
brj-23798	4	101	nor	nor	CCONJ
brj-23798	4	102	provide	provide	VERB
brj-23798	4	103	a	a	DET
brj-23798	4	104	cvwid	cvwid	NOUN
brj-23798	4	105	solution	solution	NOUN
brj-23798	4	106	for	for	ADP
brj-23798	4	107	an	an	DET
brj-23798	4	108	unknown	unknown	ADJ
brj-23798	4	109	specimen	speciman	NOUN
brj-23798	4	110	without	without	ADP
brj-23798	4	111	a	a	DET
brj-23798	4	112	human	human	ADJ
brj-23798	4	113	first	first	ADV
brj-23798	4	114	determining	determine	VERB
brj-23798	4	115	which	which	DET
brj-23798	4	116	model	model	NOUN
brj-23798	4	117	to	to	PART
brj-23798	4	118	deploy	deploy	VERB
brj-23798	4	119	.	.	PUNCT
brj-23798	5	1	as	as	SCONJ
brj-23798	5	2	untrained	untrained	ADJ
brj-23798	5	3	human	human	ADJ
brj-23798	5	4	operators	operator	NOUN
brj-23798	5	5	would	would	AUX
brj-23798	5	6	lack	lack	VERB
brj-23798	5	7	the	the	DET
brj-23798	5	8	anatomical	anatomical	ADJ
brj-23798	5	9	proficiency	proficiency	NOUN
brj-23798	5	10	to	to	PART
brj-23798	5	11	differentiate	differentiate	VERB
brj-23798	5	12	among	among	ADP
brj-23798	5	13	porosity	porosity	NOUN
brj-23798	5	14	domains	domain	NOUN
brj-23798	5	15	,	,	PUNCT
brj-23798	5	16	it	it	PRON
brj-23798	5	17	is	be	AUX
brj-23798	5	18	necessary	necessary	ADJ
brj-23798	5	19	to	to	PART
brj-23798	5	20	develop	develop	VERB
brj-23798	5	21	a	a	DET
brj-23798	5	22	consolidated	consolidated	ADJ
brj-23798	5	23	model	model	NOUN
brj-23798	5	24	that	that	PRON
brj-23798	5	25	can	can	AUX
brj-23798	5	26	identify	identify	VERB
brj-23798	5	27	diffuse-	diffuse-	NOUN
brj-23798	5	28	,	,	PUNCT
brj-23798	5	29	ring-	ring-	X
brj-23798	5	30	,	,	PUNCT
brj-23798	5	31	and	and	CCONJ
brj-23798	5	32	semi	semi	ADJ
brj-23798	5	33	-	-	ADJ
brj-23798	5	34	ring	ring	ADJ
brj-23798	5	35	-	-	PUNCT
brj-23798	5	36	porous	porous	ADJ
brj-23798	5	37	woods	wood	NOUN
brj-23798	5	38	.	.	PUNCT
brj-23798	6	1	previous	previous	ADJ
brj-23798	6	2	research	research	NOUN
brj-23798	6	3	suggests	suggest	VERB
brj-23798	6	4	that	that	SCONJ
brj-23798	6	5	prediction	prediction	NOUN
brj-23798	6	6	accuracy	accuracy	NOUN
brj-23798	6	7	might	might	AUX
brj-23798	6	8	decrease	decrease	VERB
brj-23798	6	9	as	as	SCONJ
brj-23798	6	10	class	class	NOUN
brj-23798	6	11	number	number	NOUN
brj-23798	6	12	grows	grow	VERB
brj-23798	6	13	.	.	PUNCT
brj-23798	7	1	a	a	DET
brj-23798	7	2	potential	potential	ADJ
brj-23798	7	3	strategy	strategy	NOUN
brj-23798	7	4	to	to	PART
brj-23798	7	5	reduce	reduce	VERB
brj-23798	7	6	the	the	DET
brj-23798	7	7	number	number	NOUN
brj-23798	7	8	of	of	ADP
brj-23798	7	9	classes	class	NOUN
brj-23798	7	10	a	a	DET
brj-23798	7	11	cvwid	cvwid	NOUN
brj-23798	7	12	system	system	NOUN
brj-23798	7	13	must	must	AUX
brj-23798	7	14	consider	consider	VERB
brj-23798	7	15	at	at	ADP
brj-23798	7	16	a	a	DET
brj-23798	7	17	time	time	NOUN
brj-23798	7	18	is	be	AUX
brj-23798	7	19	to	to	PART
brj-23798	7	20	hierarchically	hierarchically	ADV
brj-23798	7	21	deploy	deploy	VERB
brj-23798	7	22	a	a	DET
brj-23798	7	23	cascade	cascade	NOUN
brj-23798	7	24	of	of	ADP
brj-23798	7	25	models	model	NOUN
brj-23798	7	26	.	.	PUNCT
brj-23798	8	1	in	in	ADP
brj-23798	8	2	pursuit	pursuit	NOUN
brj-23798	8	3	of	of	ADP
brj-23798	8	4	a	a	DET
brj-23798	8	5	unified	unified	ADJ
brj-23798	8	6	model	model	NOUN
brj-23798	8	7	that	that	PRON
brj-23798	8	8	can	can	AUX
brj-23798	8	9	cover	cover	VERB
brj-23798	8	10	north	north	ADJ
brj-23798	8	11	american	american	ADJ
brj-23798	8	12	hardwoods	hardwood	NOUN
brj-23798	8	13	of	of	ADP
brj-23798	8	14	all	all	DET
brj-23798	8	15	porosity	porosity	NOUN
brj-23798	8	16	types	type	NOUN
brj-23798	8	17	,	,	PUNCT
brj-23798	8	18	this	this	DET
brj-23798	8	19	study	study	NOUN
brj-23798	8	20	compared	compare	VERB
brj-23798	8	21	the	the	DET
brj-23798	8	22	accuracies	accuracy	NOUN
brj-23798	8	23	of	of	ADP
brj-23798	8	24	a	a	DET
brj-23798	8	25	consolidated	consolidated	ADJ
brj-23798	8	26	39	39	NUM
brj-23798	8	27	-	-	PUNCT
brj-23798	8	28	class	class	NOUN
brj-23798	8	29	(	(	PUNCT
brj-23798	8	30	ring	ring	NOUN
brj-23798	8	31	+	+	CCONJ
brj-23798	8	32	diffuse	diffuse	NOUN
brj-23798	8	33	-	-	PUNCT
brj-23798	8	34	porous	porous	ADJ
brj-23798	8	35	)	)	PUNCT
brj-23798	8	36	model	model	NOUN
brj-23798	8	37	and	and	CCONJ
brj-23798	8	38	a	a	DET
brj-23798	8	39	consolidated	consolidated	ADJ
brj-23798	8	40	42	42	NUM
brj-23798	8	41	-	-	PUNCT
brj-23798	8	42	class	class	NOUN
brj-23798	8	43	(	(	PUNCT
brj-23798	8	44	ring+	ring+	CCONJ
brj-23798	8	45	diffuse+	diffuse+	VERB
brj-23798	8	46	semi	semi	ADJ
brj-23798	8	47	-	-	ADJ
brj-23798	8	48	ring	ring	ADJ
brj-23798	8	49	-	-	PUNCT
brj-23798	8	50	porous	porous	ADJ
brj-23798	8	51	)	)	PUNCT
brj-23798	8	52	model	model	NOUN
brj-23798	8	53	with	with	ADP
brj-23798	8	54	a	a	DET
brj-23798	8	55	two	two	NUM
brj-23798	8	56	-	-	PUNCT
brj-23798	8	57	tiered	tiere	VERB
brj-23798	8	58	,	,	PUNCT
brj-23798	8	59	cascading	cascade	VERB
brj-23798	8	60	model	model	NOUN
brj-23798	8	61	scheme	scheme	NOUN
brj-23798	8	62	whereby	whereby	SCONJ
brj-23798	8	63	images	image	NOUN
brj-23798	8	64	are	be	AUX
brj-23798	8	65	first	first	ADV
brj-23798	8	66	differentiated	differentiate	VERB
brj-23798	8	67	into	into	ADP
brj-23798	8	68	three	three	NUM
brj-23798	8	69	porosity	porosity	NOUN
brj-23798	8	70	domain	domain	NOUN
brj-23798	8	71	classes	class	NOUN
brj-23798	8	72	and	and	CCONJ
brj-23798	8	73	then	then	ADV
brj-23798	8	74	again	again	ADV
brj-23798	8	75	into	into	ADP
brj-23798	8	76	only	only	ADV
brj-23798	8	77	those	those	DET
brj-23798	8	78	taxonomic	taxonomic	ADJ
brj-23798	8	79	classes	class	NOUN
brj-23798	8	80	with	with	ADP
brj-23798	8	81	that	that	DET
brj-23798	8	82	porosity	porosity	NOUN
brj-23798	8	83	.	.	PUNCT
brj-23798	9	1	the	the	DET
brj-23798	9	2	results	result	NOUN
brj-23798	9	3	showed	show	VERB
brj-23798	9	4	that	that	SCONJ
brj-23798	9	5	the	the	DET
brj-23798	9	6	cascading	cascade	VERB
brj-23798	9	7	model	model	NOUN
brj-23798	9	8	scheme	scheme	NOUN
brj-23798	9	9	can	can	AUX
brj-23798	9	10	mitigate	mitigate	VERB
brj-23798	9	11	the	the	DET
brj-23798	9	12	accuracy	accuracy	NOUN
brj-23798	9	13	reductions	reduction	NOUN
brj-23798	9	14	incurred	incur	VERB
brj-23798	9	15	by	by	ADP
brj-23798	9	16	the	the	DET
brj-23798	9	17	42	42	NUM
brj-23798	9	18	-	-	PUNCT
brj-23798	9	19	class	class	NOUN
brj-23798	9	20	model	model	NOUN
brj-23798	9	21	and	and	CCONJ
brj-23798	9	22	nearly	nearly	ADV
brj-23798	9	23	eliminate	eliminate	VERB
brj-23798	9	24	the	the	DET
brj-23798	9	25	occurrence	occurrence	NOUN
brj-23798	9	26	of	of	ADP
brj-23798	9	27	cross	cross	ADJ
brj-23798	9	28	-	-	ADJ
brj-23798	9	29	domain	domain	ADJ
brj-23798	9	30	misidentifications	misidentification	NOUN
brj-23798	9	31	.	.	PUNCT
brj-23798	10	1	doi	doi	NOUN
brj-23798	10	2	:	:	PUNCT
brj-23798	10	3	10.15376	10.15376	NUM
brj-23798	10	4	/	/	SYM
brj-23798	10	5	biores.19.4.9741	biores.19.4.9741	NOUN
brj-23798	10	6	-	-	PUNCT
brj-23798	10	7	9772	9772	NUM
brj-23798	10	8	keywords	keyword	NOUN
brj-23798	10	9	:	:	PUNCT
brj-23798	10	10	wood	wood	NOUN
brj-23798	10	11	identification	identification	NOUN
brj-23798	10	12	;	;	PUNCT
brj-23798	10	13	xylotron	xylotron	PROPN
brj-23798	10	14	;	;	PUNCT
brj-23798	10	15	computer	computer	NOUN
brj-23798	10	16	vision	vision	NOUN
brj-23798	10	17	;	;	PUNCT
brj-23798	10	18	machine	machine	NOUN
brj-23798	10	19	learning	learning	NOUN
brj-23798	10	20	;	;	PUNCT
brj-23798	10	21	deep	deep	ADJ
brj-23798	10	22	learning	learning	NOUN
brj-23798	10	23	;	;	PUNCT
brj-23798	10	24	porosity	porosity	NOUN
brj-23798	10	25	domain	domain	NOUN
brj-23798	10	26	;	;	PUNCT
brj-23798	10	27	cascading	cascade	VERB
brj-23798	10	28	models	model	NOUN
brj-23798	10	29	contact	contact	NOUN
brj-23798	10	30	information	information	NOUN
brj-23798	10	31	:	:	PUNCT
brj-23798	10	32	a	a	X
brj-23798	10	33	:	:	PUNCT
brj-23798	10	34	department	department	NOUN
brj-23798	10	35	of	of	ADP
brj-23798	10	36	sustainable	sustainable	ADJ
brj-23798	10	37	bioproducts	bioproduct	NOUN
brj-23798	10	38	,	,	PUNCT
brj-23798	10	39	mississippi	mississippi	PROPN
brj-23798	10	40	state	state	PROPN
brj-23798	10	41	university	university	PROPN
brj-23798	10	42	,	,	PUNCT
brj-23798	10	43	starkville	starkville	PROPN
brj-23798	10	44	,	,	PUNCT
brj-23798	10	45	ms	ms	PROPN
brj-23798	10	46	,	,	PUNCT
brj-23798	10	47	usa	usa	PROPN
brj-23798	10	48	;	;	PUNCT
brj-23798	10	49	b	b	X
brj-23798	10	50	:	:	PUNCT
brj-23798	10	51	department	department	NOUN
brj-23798	10	52	of	of	ADP
brj-23798	10	53	botany	botany	NOUN
brj-23798	10	54	,	,	PUNCT
brj-23798	10	55	university	university	NOUN
brj-23798	10	56	of	of	ADP
brj-23798	10	57	wisconsin	wisconsin	PROPN
brj-23798	10	58	,	,	PUNCT
brj-23798	10	59	madison	madison	PROPN
brj-23798	10	60	,	,	PUNCT
brj-23798	10	61	wi	wi	PROPN
brj-23798	10	62	,	,	PUNCT
brj-23798	10	63	usa	usa	PROPN
brj-23798	10	64	;	;	PUNCT
brj-23798	10	65	c	c	X
brj-23798	10	66	:	:	PUNCT
brj-23798	10	67	center	center	NOUN
brj-23798	10	68	for	for	ADP
brj-23798	10	69	wood	wood	NOUN
brj-23798	10	70	anatomy	anatomy	NOUN
brj-23798	10	71	research	research	NOUN
brj-23798	10	72	,	,	PUNCT
brj-23798	10	73	usda	usda	PROPN
brj-23798	10	74	forest	forest	PROPN
brj-23798	10	75	service	service	PROPN
brj-23798	10	76	,	,	PUNCT
brj-23798	10	77	forest	forest	NOUN
brj-23798	10	78	products	product	NOUN
brj-23798	10	79	laboratory	laboratory	NOUN
brj-23798	10	80	,	,	PUNCT
brj-23798	10	81	madison	madison	PROPN
brj-23798	10	82	,	,	PUNCT
brj-23798	10	83	wi	wi	PROPN
brj-23798	10	84	,	,	PUNCT
brj-23798	10	85	usa	usa	PROPN
brj-23798	10	86	;	;	PUNCT
brj-23798	10	87	d	d	NOUN
brj-23798	10	88	:	:	PUNCT
brj-23798	10	89	department	department	NOUN
brj-23798	10	90	of	of	ADP
brj-23798	10	91	forestry	forestry	NOUN
brj-23798	10	92	and	and	CCONJ
brj-23798	10	93	natural	natural	ADJ
brj-23798	10	94	resources	resource	NOUN
brj-23798	10	95	,	,	PUNCT
brj-23798	10	96	purdue	purdue	ADJ
brj-23798	10	97	university	university	NOUN
brj-23798	10	98	,	,	PUNCT
brj-23798	10	99	west	west	PROPN
brj-23798	10	100	lafayette	lafayette	PROPN
brj-23798	10	101	,	,	PUNCT
brj-23798	10	102	in	in	ADP
brj-23798	10	103	,	,	PUNCT
brj-23798	10	104	usa	usa	PROPN
brj-23798	10	105	;	;	PUNCT
brj-23798	10	106	e	e	NOUN
brj-23798	10	107	:	:	PUNCT
brj-23798	10	108	departamento	departamento	PROPN
brj-23798	10	109	de	de	PROPN
brj-23798	10	110	ciências	ciências	PROPN
brj-23798	10	111	biológicas	biológicas	PROPN
brj-23798	10	112	(	(	PUNCT
brj-23798	10	113	botânica	botânica	PROPN
brj-23798	10	114	)	)	PUNCT
brj-23798	10	115	,	,	PUNCT
brj-23798	10	116	universidade	universidade	PROPN
brj-23798	10	117	estadual	estadual	PROPN
brj-23798	10	118	paulista	paulista	PROPN
brj-23798	10	119	–	–	PUNCT
brj-23798	10	120	botucatu	botucatu	NOUN
brj-23798	10	121	,	,	PUNCT
brj-23798	10	122	são	são	PROPN
brj-23798	10	123	paulo	paulo	PROPN
brj-23798	10	124	,	,	PUNCT
brj-23798	10	125	brasil	brasil	PROPN
brj-23798	10	126	.	.	PUNCT
brj-23798	11	1	*	*	PUNCT
brj-23798	11	2	corresponding	correspond	VERB
brj-23798	11	3	author	author	NOUN
brj-23798	11	4	:	:	PUNCT
brj-23798	11	5	fco7@msstate.edu	fco7@msstate.edu	ADJ
brj-23798	11	6	introduction	introduction	NOUN
brj-23798	11	7	wood	wood	NOUN
brj-23798	11	8	identification	identification	NOUN
brj-23798	11	9	is	be	AUX
brj-23798	11	10	an	an	DET
brj-23798	11	11	important	important	ADJ
brj-23798	11	12	tool	tool	NOUN
brj-23798	11	13	for	for	ADP
brj-23798	11	14	combatting	combat	VERB
brj-23798	11	15	the	the	DET
brj-23798	11	16	global	global	ADJ
brj-23798	11	17	and	and	CCONJ
brj-23798	11	18	pervasive	pervasive	ADJ
brj-23798	11	19	problem	problem	NOUN
brj-23798	11	20	of	of	ADP
brj-23798	11	21	illegal	illegal	ADJ
brj-23798	11	22	logging	logging	NOUN
brj-23798	11	23	and	and	CCONJ
brj-23798	11	24	timber	timber	NOUN
brj-23798	11	25	trade	trade	NOUN
brj-23798	11	26	(	(	PUNCT
brj-23798	11	27	johnson	johnson	NOUN
brj-23798	11	28	and	and	CCONJ
brj-23798	11	29	laestadius	laestadius	PROPN
brj-23798	11	30	2011	2011	NUM
brj-23798	11	31	;	;	PUNCT
brj-23798	11	32	dormontt	dormontt	VERB
brj-23798	11	33	et	et	PROPN
brj-23798	11	34	al	al	PROPN
brj-23798	11	35	.	.	PROPN
brj-23798	11	36	2015	2015	NUM
brj-23798	11	37	;	;	PUNCT
brj-23798	11	38	koch	koch	PROPN
brj-23798	11	39	et	et	PROPN
brj-23798	11	40	al	al	PROPN
brj-23798	11	41	.	.	PROPN
brj-23798	11	42	2015	2015	NUM
brj-23798	11	43	;	;	PUNCT
brj-23798	11	44	lowe	lowe	PROPN
brj-23798	11	45	et	et	PROPN
brj-23798	11	46	al	al	PROPN
brj-23798	11	47	.	.	PROPN
brj-23798	11	48	2016	2016	NUM
brj-23798	11	49	;	;	PUNCT
brj-23798	11	50	unodc	unodc	ADJ
brj-23798	11	51	2016	2016	NUM
brj-23798	11	52	)	)	PUNCT
brj-23798	11	53	,	,	PUNCT
brj-23798	11	54	investigating	investigate	VERB
brj-23798	11	55	supply	supply	NOUN
brj-23798	11	56	chain	chain	NOUN
brj-23798	11	57	integrity	integrity	NOUN
brj-23798	11	58	(	(	PUNCT
brj-23798	11	59	wiedenhoeft	wiedenhoeft	VERB
brj-23798	11	60	et	et	PROPN
brj-23798	11	61	al	al	PROPN
brj-23798	11	62	.	.	PROPN
brj-23798	11	63	2019	2019	NUM
brj-23798	11	64	)	)	PUNCT
brj-23798	11	65	,	,	PUNCT
brj-23798	11	66	and	and	CCONJ
brj-23798	11	67	verifying	verify	VERB
brj-23798	11	68	compliance	compliance	NOUN
brj-23798	11	69	with	with	ADP
brj-23798	11	70	import	import	NOUN
brj-23798	11	71	/	/	SYM
brj-23798	11	72	export	export	NOUN
brj-23798	11	73	declaration	declaration	NOUN
brj-23798	11	74	requirements	requirement	NOUN
brj-23798	11	75	.	.	PUNCT
brj-23798	12	1	conventional	conventional	ADJ
brj-23798	12	2	wood	wood	NOUN
brj-23798	12	3	identification	identification	NOUN
brj-23798	12	4	relies	rely	VERB
brj-23798	12	5	on	on	ADP
brj-23798	12	6	humans	human	NOUN
brj-23798	12	7	trained	train	VERB
brj-23798	12	8	in	in	ADP
brj-23798	12	9	wood	wood	NOUN
brj-23798	12	10	anatomy	anatomy	NOUN
brj-23798	12	11	to	to	PART
brj-23798	12	12	differentiate	differentiate	VERB
brj-23798	12	13	among	among	ADP
brj-23798	12	14	taxa	taxa	NOUN
brj-23798	12	15	by	by	ADP
brj-23798	12	16	observing	observe	VERB
brj-23798	12	17	anatomical	anatomical	ADJ
brj-23798	12	18	features	feature	NOUN
brj-23798	12	19	under	under	ADP
brj-23798	12	20	a	a	DET
brj-23798	12	21	hand	hand	NOUN
brj-23798	12	22	lens	lens	NOUN
brj-23798	12	23	and/or	and/or	CCONJ
brj-23798	12	24	microscope	microscope	PROPN
brj-23798	12	25	(	(	PUNCT
brj-23798	12	26	wheeler	wheeler	NOUN
brj-23798	12	27	and	and	CCONJ
brj-23798	12	28	bass	bass	NOUN
brj-23798	12	29	1998	1998	NUM
brj-23798	12	30	;	;	PUNCT
brj-23798	12	31	gasson	gasson	NOUN
brj-23798	12	32	2011	2011	NUM
brj-23798	12	33	)	)	PUNCT
brj-23798	12	34	.	.	PUNCT
brj-23798	13	1	learning	learn	VERB
brj-23798	13	2	to	to	PART
brj-23798	13	3	manually	manually	ADV
brj-23798	13	4	identify	identify	VERB
brj-23798	13	5	wood	wood	NOUN
brj-23798	13	6	anatomically	anatomically	ADV
brj-23798	13	7	requires	require	VERB
brj-23798	13	8	extensive	extensive	ADJ
brj-23798	13	9	training	training	NOUN
brj-23798	13	10	,	,	PUNCT
brj-23798	13	11	and	and	CCONJ
brj-23798	13	12	there	there	PRON
brj-23798	13	13	is	be	VERB
brj-23798	13	14	a	a	DET
brj-23798	13	15	severe	severe	ADJ
brj-23798	13	16	shortage	shortage	NOUN
brj-23798	13	17	of	of	ADP
brj-23798	13	18	reliable	reliable	ADJ
brj-23798	13	19	conventional	conventional	ADJ
brj-23798	13	20	wood	wood	NOUN
brj-23798	13	21	identification	identification	NOUN
brj-23798	13	22	capacity	capacity	NOUN
brj-23798	13	23	in	in	ADP
brj-23798	13	24	north	north	PROPN
brj-23798	13	25	america	america	PROPN
brj-23798	13	26	(	(	PUNCT
brj-23798	13	27	wiedenhoeft	wiedenhoeft	VERB
brj-23798	13	28	et	et	PROPN
brj-23798	13	29	al	al	PROPN
brj-23798	13	30	.	.	PROPN
brj-23798	13	31	peer	peer	NOUN
brj-23798	13	32	-	-	PUNCT
brj-23798	13	33	reviewed	review	VERB
brj-23798	13	34	article	article	NOUN
brj-23798	13	35	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	13	36	owens	owens	PROPN
brj-23798	13	37	et	et	PROPN
brj-23798	13	38	al	al	PROPN
brj-23798	13	39	.	.	PROPN
brj-23798	14	1	(	(	PUNCT
brj-23798	14	2	2024	2024	NUM
brj-23798	14	3	)	)	PUNCT
brj-23798	14	4	.	.	PUNCT
brj-23798	15	1	“	"	PUNCT
brj-23798	15	2	computer	computer	NOUN
brj-23798	15	3	-	-	PUNCT
brj-23798	15	4	vision	vision	NOUN
brj-23798	15	5	wood	wood	NOUN
brj-23798	15	6	id	id	NOUN
brj-23798	15	7	-	-	ADJ
brj-23798	15	8	ing	ing	ADJ
brj-23798	15	9	,	,	PUNCT
brj-23798	15	10	”	"	PUNCT
brj-23798	15	11	bioresources	bioresource	NOUN
brj-23798	15	12	19(4	19(4	NUM
brj-23798	15	13	)	)	PUNCT
brj-23798	15	14	,	,	PUNCT
brj-23798	15	15	9741	9741	NUM
brj-23798	15	16	-	-	SYM
brj-23798	15	17	9772	9772	NUM
brj-23798	15	18	.	.	PUNCT
brj-23798	15	19	9742	9742	NUM
brj-23798	15	20	2019	2019	NUM
brj-23798	15	21	)	)	PUNCT
brj-23798	15	22	and	and	CCONJ
brj-23798	15	23	worldwide	worldwide	ADV
brj-23798	15	24	.	.	PUNCT
brj-23798	16	1	for	for	ADP
brj-23798	16	2	this	this	DET
brj-23798	16	3	reason	reason	NOUN
brj-23798	16	4	,	,	PUNCT
brj-23798	16	5	scientists	scientist	NOUN
brj-23798	16	6	are	be	AUX
brj-23798	16	7	utilizing	utilize	VERB
brj-23798	16	8	advances	advance	NOUN
brj-23798	16	9	in	in	ADP
brj-23798	16	10	technology	technology	NOUN
brj-23798	16	11	to	to	PART
brj-23798	16	12	develop	develop	VERB
brj-23798	16	13	non	non	ADJ
brj-23798	16	14	-	-	ADJ
brj-23798	16	15	conventional	conventional	ADJ
brj-23798	16	16	wood	wood	NOUN
brj-23798	16	17	identification	identification	NOUN
brj-23798	16	18	methods	method	NOUN
brj-23798	16	19	based	base	VERB
brj-23798	16	20	on	on	ADP
brj-23798	16	21	computer	computer	NOUN
brj-23798	16	22	-	-	PUNCT
brj-23798	16	23	vision	vision	NOUN
brj-23798	16	24	,	,	PUNCT
brj-23798	16	25	dna	dna	PROPN
brj-23798	16	26	,	,	PUNCT
brj-23798	16	27	mass	mass	NOUN
brj-23798	16	28	spectroscopy	spectroscopy	NOUN
brj-23798	16	29	/	/	SYM
brj-23798	16	30	spectrometry	spectrometry	NOUN
brj-23798	16	31	,	,	PUNCT
brj-23798	16	32	and	and	CCONJ
brj-23798	16	33	others	other	NOUN
brj-23798	16	34	to	to	PART
brj-23798	16	35	reduce	reduce	VERB
brj-23798	16	36	dependence	dependence	NOUN
brj-23798	16	37	on	on	ADP
brj-23798	16	38	human	human	ADJ
brj-23798	16	39	expertise	expertise	NOUN
brj-23798	16	40	in	in	ADP
brj-23798	16	41	wood	wood	NOUN
brj-23798	16	42	anatomy	anatomy	NOUN
brj-23798	16	43	(	(	PUNCT
brj-23798	16	44	johnson	johnson	NOUN
brj-23798	16	45	and	and	CCONJ
brj-23798	16	46	laestadius	laestadius	PROPN
brj-23798	16	47	2011	2011	NUM
brj-23798	16	48	;	;	PUNCT
brj-23798	16	49	dormontt	dormontt	VERB
brj-23798	16	50	et	et	PROPN
brj-23798	16	51	al	al	PROPN
brj-23798	16	52	.	.	PROPN
brj-23798	16	53	2015	2015	NUM
brj-23798	16	54	;	;	PUNCT
brj-23798	16	55	lowe	lowe	PROPN
brj-23798	16	56	et	et	PROPN
brj-23798	16	57	al	al	PROPN
brj-23798	16	58	.	.	PROPN
brj-23798	16	59	2016	2016	NUM
brj-23798	16	60	)	)	PUNCT
brj-23798	16	61	.	.	PUNCT
brj-23798	17	1	proliferation	proliferation	NOUN
brj-23798	17	2	of	of	ADP
brj-23798	17	3	these	these	DET
brj-23798	17	4	new	new	ADJ
brj-23798	17	5	,	,	PUNCT
brj-23798	17	6	non	non	ADJ
brj-23798	17	7	-	-	ADJ
brj-23798	17	8	conventional	conventional	ADJ
brj-23798	17	9	tools	tool	NOUN
brj-23798	17	10	promises	promise	NOUN
brj-23798	17	11	to	to	PART
brj-23798	17	12	mitigate	mitigate	VERB
brj-23798	17	13	the	the	DET
brj-23798	17	14	shortage	shortage	NOUN
brj-23798	17	15	of	of	ADP
brj-23798	17	16	wood	wood	NOUN
brj-23798	17	17	identification	identification	NOUN
brj-23798	17	18	capacity	capacity	NOUN
brj-23798	17	19	and	and	CCONJ
brj-23798	17	20	better	well	ADJ
brj-23798	17	21	empower	empower	NOUN
brj-23798	17	22	industrial	industrial	ADJ
brj-23798	17	23	compliance	compliance	NOUN
brj-23798	17	24	with	with	ADP
brj-23798	17	25	laws	law	NOUN
brj-23798	17	26	and	and	CCONJ
brj-23798	17	27	regulations	regulation	NOUN
brj-23798	17	28	while	while	SCONJ
brj-23798	17	29	also	also	ADV
brj-23798	17	30	enabling	enable	VERB
brj-23798	17	31	law	law	NOUN
brj-23798	17	32	enforcement	enforcement	NOUN
brj-23798	17	33	around	around	ADP
brj-23798	17	34	the	the	DET
brj-23798	17	35	world	world	NOUN
brj-23798	17	36	to	to	PART
brj-23798	17	37	detect	detect	VERB
brj-23798	17	38	and	and	CCONJ
brj-23798	17	39	prosecute	prosecute	VERB
brj-23798	17	40	illicit	illicit	ADJ
brj-23798	17	41	activity	activity	NOUN
brj-23798	17	42	.	.	PUNCT
brj-23798	18	1	in	in	ADP
brj-23798	18	2	conventional	conventional	ADJ
brj-23798	18	3	human	human	NOUN
brj-23798	18	4	-	-	PUNCT
brj-23798	18	5	based	base	VERB
brj-23798	18	6	identification	identification	NOUN
brj-23798	18	7	,	,	PUNCT
brj-23798	18	8	a	a	DET
brj-23798	18	9	wood	wood	NOUN
brj-23798	18	10	anatomist	anatomist	NOUN
brj-23798	18	11	classifies	classify	VERB
brj-23798	18	12	a	a	DET
brj-23798	18	13	specimen	speciman	NOUN
brj-23798	18	14	based	base	VERB
brj-23798	18	15	on	on	ADP
brj-23798	18	16	observations	observation	NOUN
brj-23798	18	17	of	of	ADP
brj-23798	18	18	anatomical	anatomical	ADJ
brj-23798	18	19	features	feature	NOUN
brj-23798	18	20	(	(	PUNCT
brj-23798	18	21	wheeler	wheeler	NOUN
brj-23798	18	22	and	and	CCONJ
brj-23798	18	23	bass	bass	NOUN
brj-23798	18	24	1998	1998	NUM
brj-23798	18	25	;	;	PUNCT
brj-23798	18	26	gasson	gasson	NOUN
brj-23798	18	27	2011	2011	NUM
brj-23798	18	28	)	)	PUNCT
brj-23798	18	29	.	.	PUNCT
brj-23798	19	1	until	until	SCONJ
brj-23798	19	2	an	an	DET
brj-23798	19	3	anatomist	anatomist	NOUN
brj-23798	19	4	can	can	AUX
brj-23798	19	5	recognize	recognize	VERB
brj-23798	19	6	a	a	DET
brj-23798	19	7	taxon	taxon	NOUN
brj-23798	19	8	on	on	ADP
brj-23798	19	9	sight	sight	NOUN
brj-23798	19	10	,	,	PUNCT
brj-23798	19	11	s	s	AUX
brj-23798	19	12	/	/	SYM
brj-23798	19	13	he	he	PRON
brj-23798	19	14	typically	typically	ADV
brj-23798	19	15	relies	rely	VERB
brj-23798	19	16	on	on	ADP
brj-23798	19	17	a	a	DET
brj-23798	19	18	wood	wood	NOUN
brj-23798	19	19	identification	identification	NOUN
brj-23798	19	20	key	key	NOUN
brj-23798	19	21	to	to	PART
brj-23798	19	22	arrive	arrive	VERB
brj-23798	19	23	at	at	ADP
brj-23798	19	24	a	a	DET
brj-23798	19	25	potential	potential	ADJ
brj-23798	19	26	identification	identification	NOUN
brj-23798	19	27	and	and	CCONJ
brj-23798	19	28	then	then	ADV
brj-23798	19	29	compares	compare	VERB
brj-23798	19	30	the	the	DET
brj-23798	19	31	unknown	unknown	ADJ
brj-23798	19	32	specimen	speciman	NOUN
brj-23798	19	33	to	to	ADP
brj-23798	19	34	a	a	DET
brj-23798	19	35	known	know	VERB
brj-23798	19	36	reference	reference	NOUN
brj-23798	19	37	specimen	speciman	NOUN
brj-23798	19	38	and	and	CCONJ
brj-23798	19	39	confirms	confirm	VERB
brj-23798	19	40	an	an	DET
brj-23798	19	41	identification	identification	NOUN
brj-23798	19	42	.	.	PUNCT
brj-23798	20	1	a	a	DET
brj-23798	20	2	key	key	NOUN
brj-23798	20	3	is	be	AUX
brj-23798	20	4	a	a	DET
brj-23798	20	5	decision	decision	NOUN
brj-23798	20	6	tree	tree	NOUN
brj-23798	20	7	comprising	comprise	VERB
brj-23798	20	8	a	a	DET
brj-23798	20	9	series	series	NOUN
brj-23798	20	10	of	of	ADP
brj-23798	20	11	(	(	PUNCT
brj-23798	20	12	often	often	ADV
brj-23798	20	13	dichotomous	dichotomous	ADJ
brj-23798	20	14	)	)	PUNCT
brj-23798	20	15	choices	choice	NOUN
brj-23798	20	16	arranged	arrange	VERB
brj-23798	20	17	in	in	ADP
brj-23798	20	18	a	a	DET
brj-23798	20	19	hierarchy	hierarchy	NOUN
brj-23798	20	20	.	.	PUNCT
brj-23798	21	1	at	at	ADP
brj-23798	21	2	each	each	DET
brj-23798	21	3	level	level	NOUN
brj-23798	21	4	of	of	ADP
brj-23798	21	5	the	the	DET
brj-23798	21	6	hierarchy	hierarchy	NOUN
brj-23798	21	7	,	,	PUNCT
brj-23798	21	8	the	the	DET
brj-23798	21	9	anatomist	anatomist	NOUN
brj-23798	21	10	must	must	AUX
brj-23798	21	11	decide	decide	VERB
brj-23798	21	12	which	which	PRON
brj-23798	21	13	of	of	ADP
brj-23798	21	14	two	two	NUM
brj-23798	21	15	(	(	PUNCT
brj-23798	21	16	or	or	CCONJ
brj-23798	21	17	more	more	ADJ
brj-23798	21	18	)	)	PUNCT
brj-23798	21	19	descriptions	description	NOUN
brj-23798	21	20	best	well	ADV
brj-23798	21	21	characterize	characterize	VERB
brj-23798	21	22	the	the	DET
brj-23798	21	23	anatomical	anatomical	ADJ
brj-23798	21	24	features	feature	NOUN
brj-23798	21	25	they	they	PRON
brj-23798	21	26	observe	observe	VERB
brj-23798	21	27	in	in	ADP
brj-23798	21	28	the	the	DET
brj-23798	21	29	specimen	speciman	NOUN
brj-23798	21	30	.	.	PUNCT
brj-23798	22	1	the	the	DET
brj-23798	22	2	option	option	NOUN
brj-23798	22	3	they	they	PRON
brj-23798	22	4	select	select	VERB
brj-23798	22	5	determines	determine	VERB
brj-23798	22	6	the	the	DET
brj-23798	22	7	next	next	ADJ
brj-23798	22	8	set	set	NOUN
brj-23798	22	9	of	of	ADP
brj-23798	22	10	choices	choice	NOUN
brj-23798	22	11	they	they	PRON
brj-23798	22	12	must	must	AUX
brj-23798	22	13	consider	consider	VERB
brj-23798	22	14	further	far	ADV
brj-23798	22	15	down	down	ADV
brj-23798	22	16	in	in	ADP
brj-23798	22	17	the	the	DET
brj-23798	22	18	hierarchy	hierarchy	NOUN
brj-23798	22	19	,	,	PUNCT
brj-23798	22	20	and	and	CCONJ
brj-23798	22	21	so	so	ADV
brj-23798	22	22	on	on	ADV
brj-23798	22	23	,	,	PUNCT
brj-23798	22	24	until	until	SCONJ
brj-23798	22	25	they	they	PRON
brj-23798	22	26	arrive	arrive	VERB
brj-23798	22	27	at	at	ADP
brj-23798	22	28	a	a	DET
brj-23798	22	29	terminal	terminal	ADJ
brj-23798	22	30	description	description	NOUN
brj-23798	22	31	and	and	CCONJ
brj-23798	22	32	the	the	DET
brj-23798	22	33	name	name	NOUN
brj-23798	22	34	of	of	ADP
brj-23798	22	35	the	the	DET
brj-23798	22	36	taxon	taxon	ADJ
brj-23798	22	37	(	(	PUNCT
brj-23798	22	38	usually	usually	ADV
brj-23798	22	39	a	a	DET
brj-23798	22	40	genus	genus	NOUN
brj-23798	22	41	,	,	PUNCT
brj-23798	22	42	species	specie	NOUN
brj-23798	22	43	,	,	PUNCT
brj-23798	22	44	or	or	CCONJ
brj-23798	22	45	subgeneric	subgeneric	ADJ
brj-23798	22	46	category	category	NOUN
brj-23798	22	47	)	)	PUNCT
brj-23798	22	48	.	.	PUNCT
brj-23798	23	1	a	a	DET
brj-23798	23	2	well	well	ADV
brj-23798	23	3	-	-	PUNCT
brj-23798	23	4	designed	design	VERB
brj-23798	23	5	wood	wood	NOUN
brj-23798	23	6	identification	identification	NOUN
brj-23798	23	7	key	key	NOUN
brj-23798	23	8	works	work	NOUN
brj-23798	23	9	because	because	SCONJ
brj-23798	23	10	it	it	PRON
brj-23798	23	11	focuses	focus	VERB
brj-23798	23	12	attention	attention	NOUN
brj-23798	23	13	on	on	ADP
brj-23798	23	14	only	only	ADV
brj-23798	23	15	a	a	DET
brj-23798	23	16	limited	limited	ADJ
brj-23798	23	17	set	set	NOUN
brj-23798	23	18	of	of	ADP
brj-23798	23	19	anatomical	anatomical	ADJ
brj-23798	23	20	features	feature	NOUN
brj-23798	23	21	at	at	ADP
brj-23798	23	22	a	a	DET
brj-23798	23	23	time	time	NOUN
brj-23798	23	24	and	and	CCONJ
brj-23798	23	25	prevents	prevent	VERB
brj-23798	23	26	wildly	wildly	ADV
brj-23798	23	27	deviant	deviant	ADJ
brj-23798	23	28	conclusions	conclusion	NOUN
brj-23798	23	29	–	–	PUNCT
brj-23798	23	30	presuming	presume	VERB
brj-23798	23	31	each	each	DET
brj-23798	23	32	user	user	NOUN
brj-23798	23	33	decision	decision	NOUN
brj-23798	23	34	is	be	AUX
brj-23798	23	35	correct	correct	ADJ
brj-23798	23	36	–	–	PUNCT
brj-23798	23	37	by	by	ADP
brj-23798	23	38	limiting	limit	VERB
brj-23798	23	39	the	the	DET
brj-23798	23	40	remaining	remain	VERB
brj-23798	23	41	options	option	NOUN
brj-23798	23	42	based	base	VERB
brj-23798	23	43	on	on	ADP
brj-23798	23	44	previous	previous	ADJ
brj-23798	23	45	choices	choice	NOUN
brj-23798	23	46	.	.	PUNCT
brj-23798	24	1	it	it	PRON
brj-23798	24	2	also	also	ADV
brj-23798	24	3	reduces	reduce	VERB
brj-23798	24	4	the	the	DET
brj-23798	24	5	number	number	NOUN
brj-23798	24	6	of	of	ADP
brj-23798	24	7	possible	possible	ADJ
brj-23798	24	8	solutions	solution	NOUN
brj-23798	24	9	as	as	SCONJ
brj-23798	24	10	the	the	DET
brj-23798	24	11	anatomist	anatomist	NOUN
brj-23798	24	12	descends	descend	VERB
brj-23798	24	13	from	from	ADP
brj-23798	24	14	one	one	NUM
brj-23798	24	15	level	level	NOUN
brj-23798	24	16	to	to	ADP
brj-23798	24	17	the	the	DET
brj-23798	24	18	next	next	ADJ
brj-23798	24	19	.	.	PUNCT
brj-23798	25	1	in	in	ADP
brj-23798	25	2	computer	computer	NOUN
brj-23798	25	3	science	science	NOUN
brj-23798	25	4	terms	term	NOUN
brj-23798	25	5	,	,	PUNCT
brj-23798	25	6	using	use	VERB
brj-23798	25	7	a	a	DET
brj-23798	25	8	wood	wood	NOUN
brj-23798	25	9	identification	identification	NOUN
brj-23798	25	10	key	key	NOUN
brj-23798	25	11	is	be	AUX
brj-23798	25	12	the	the	DET
brj-23798	25	13	process	process	NOUN
brj-23798	25	14	of	of	ADP
brj-23798	25	15	choosing	choose	VERB
brj-23798	25	16	a	a	DET
brj-23798	25	17	path	path	NOUN
brj-23798	25	18	from	from	ADP
brj-23798	25	19	the	the	DET
brj-23798	25	20	root	root	NOUN
brj-23798	25	21	node	node	NOUN
brj-23798	25	22	(	(	PUNCT
brj-23798	25	23	the	the	DET
brj-23798	25	24	first	first	ADJ
brj-23798	25	25	level	level	NOUN
brj-23798	25	26	in	in	ADP
brj-23798	25	27	the	the	DET
brj-23798	25	28	key	key	NOUN
brj-23798	25	29	)	)	PUNCT
brj-23798	25	30	to	to	ADP
brj-23798	25	31	a	a	DET
brj-23798	25	32	leaf	leaf	NOUN
brj-23798	25	33	node	node	NOUN
brj-23798	25	34	(	(	PUNCT
brj-23798	25	35	the	the	DET
brj-23798	25	36	terminal	terminal	ADJ
brj-23798	25	37	identification	identification	NOUN
brj-23798	25	38	)	)	PUNCT
brj-23798	25	39	by	by	ADP
brj-23798	25	40	means	mean	NOUN
brj-23798	25	41	of	of	ADP
brj-23798	25	42	a	a	DET
brj-23798	25	43	cascade	cascade	NOUN
brj-23798	25	44	of	of	ADP
brj-23798	25	45	solitary	solitary	ADJ
brj-23798	25	46	decisions	decision	NOUN
brj-23798	25	47	at	at	ADP
brj-23798	25	48	each	each	DET
brj-23798	25	49	node	node	NOUN
brj-23798	25	50	on	on	ADP
brj-23798	25	51	this	this	DET
brj-23798	25	52	path	path	NOUN
brj-23798	25	53	.	.	PUNCT
brj-23798	26	1	in	in	ADP
brj-23798	26	2	many	many	ADJ
brj-23798	26	3	wood	wood	NOUN
brj-23798	26	4	identification	identification	NOUN
brj-23798	26	5	keys	key	NOUN
brj-23798	26	6	that	that	PRON
brj-23798	26	7	include	include	VERB
brj-23798	26	8	temperate	temperate	ADJ
brj-23798	26	9	hardwood	hardwood	NOUN
brj-23798	26	10	species	specie	NOUN
brj-23798	26	11	,	,	PUNCT
brj-23798	26	12	a	a	DET
brj-23798	26	13	set	set	NOUN
brj-23798	26	14	of	of	ADP
brj-23798	26	15	alternatives	alternative	NOUN
brj-23798	26	16	regarding	regard	VERB
brj-23798	26	17	the	the	DET
brj-23798	26	18	size	size	NOUN
brj-23798	26	19	and	and	CCONJ
brj-23798	26	20	distribution	distribution	NOUN
brj-23798	26	21	of	of	ADP
brj-23798	26	22	pores	pore	NOUN
brj-23798	26	23	across	across	ADP
brj-23798	26	24	a	a	DET
brj-23798	26	25	growth	growth	NOUN
brj-23798	26	26	ring	ring	NOUN
brj-23798	26	27	(	(	PUNCT
brj-23798	26	28	often	often	ADV
brj-23798	26	29	referred	refer	VERB
brj-23798	26	30	to	to	ADP
brj-23798	26	31	as	as	ADP
brj-23798	26	32	porosity	porosity	NOUN
brj-23798	26	33	)	)	PUNCT
brj-23798	26	34	appears	appear	VERB
brj-23798	26	35	early	early	ADV
brj-23798	26	36	in	in	ADP
brj-23798	26	37	the	the	DET
brj-23798	26	38	decision	decision	NOUN
brj-23798	26	39	tree	tree	NOUN
brj-23798	26	40	.	.	PUNCT
brj-23798	27	1	these	these	PRON
brj-23798	27	2	typically	typically	ADV
brj-23798	27	3	include	include	VERB
brj-23798	27	4	diffuse	diffuse	NOUN
brj-23798	27	5	-	-	PUNCT
brj-23798	27	6	porous	porous	ADJ
brj-23798	27	7	,	,	PUNCT
brj-23798	27	8	ring	ring	NOUN
brj-23798	27	9	-	-	PUNCT
brj-23798	27	10	porous	porous	ADJ
brj-23798	27	11	,	,	PUNCT
brj-23798	27	12	and	and	CCONJ
brj-23798	27	13	semi	semi	ADJ
brj-23798	27	14	-	-	ADJ
brj-23798	27	15	ring	ring	ADJ
brj-23798	27	16	-	-	PUNCT
brj-23798	27	17	porous	porous	ADJ
brj-23798	27	18	.	.	PUNCT
brj-23798	28	1	diffuse	diffuse	ADJ
brj-23798	28	2	-	-	PUNCT
brj-23798	28	3	porous	porous	ADJ
brj-23798	28	4	woods	wood	NOUN
brj-23798	28	5	are	be	AUX
brj-23798	28	6	characterized	characterize	VERB
brj-23798	28	7	by	by	ADP
brj-23798	28	8	growth	growth	NOUN
brj-23798	28	9	rings	ring	NOUN
brj-23798	28	10	in	in	ADP
brj-23798	28	11	which	which	PRON
brj-23798	28	12	the	the	DET
brj-23798	28	13	earlywood	earlywood	NOUN
brj-23798	28	14	pores	pore	NOUN
brj-23798	28	15	are	be	AUX
brj-23798	28	16	not	not	PART
brj-23798	28	17	conspicuously	conspicuously	ADV
brj-23798	28	18	larger	large	ADJ
brj-23798	28	19	than	than	ADP
brj-23798	28	20	the	the	DET
brj-23798	28	21	latewood	latewood	PROPN
brj-23798	28	22	pores	pore	NOUN
brj-23798	28	23	(	(	PUNCT
brj-23798	28	24	fig	fig	NOUN
brj-23798	28	25	.	.	PUNCT
brj-23798	29	1	1a	1a	NOUN
brj-23798	29	2	,	,	PUNCT
brj-23798	29	3	panshin	panshin	NOUN
brj-23798	29	4	and	and	CCONJ
brj-23798	29	5	de	de	X
brj-23798	29	6	zeeuw	zeeuw	PROPN
brj-23798	29	7	1980	1980	NUM
brj-23798	29	8	)	)	PUNCT
brj-23798	29	9	.	.	PUNCT
brj-23798	30	1	conversely	conversely	ADV
brj-23798	30	2	,	,	PUNCT
brj-23798	30	3	ring	ring	NOUN
brj-23798	30	4	-	-	PUNCT
brj-23798	30	5	porous	porous	ADJ
brj-23798	30	6	woods	wood	NOUN
brj-23798	30	7	typically	typically	ADV
brj-23798	30	8	exhibit	exhibit	VERB
brj-23798	30	9	growth	growth	NOUN
brj-23798	30	10	rings	ring	NOUN
brj-23798	30	11	with	with	ADP
brj-23798	30	12	a	a	DET
brj-23798	30	13	zone	zone	NOUN
brj-23798	30	14	of	of	ADP
brj-23798	30	15	larger	large	ADJ
brj-23798	30	16	earlywood	earlywood	NOUN
brj-23798	30	17	pores	pore	NOUN
brj-23798	30	18	abruptly	abruptly	ADV
brj-23798	30	19	transitioning	transition	VERB
brj-23798	30	20	in	in	ADP
brj-23798	30	21	size	size	NOUN
brj-23798	30	22	to	to	PART
brj-23798	30	23	latewood	latewood	VERB
brj-23798	30	24	with	with	ADP
brj-23798	30	25	conspicuously	conspicuously	ADV
brj-23798	30	26	smaller	small	ADJ
brj-23798	30	27	pores	pore	NOUN
brj-23798	30	28	(	(	PUNCT
brj-23798	30	29	fig	fig	NOUN
brj-23798	30	30	.	.	PUNCT
brj-23798	31	1	1b	1b	NUM
brj-23798	31	2	,	,	PUNCT
brj-23798	31	3	panshin	panshin	NOUN
brj-23798	31	4	and	and	CCONJ
brj-23798	31	5	de	de	X
brj-23798	31	6	zeeuw	zeeuw	PROPN
brj-23798	31	7	1980	1980	NUM
brj-23798	31	8	)	)	PUNCT
brj-23798	31	9	.	.	PUNCT
brj-23798	32	1	fig	fig	NOUN
brj-23798	32	2	.	.	PUNCT
brj-23798	33	1	1	1	X
brj-23798	33	2	.	.	X
brj-23798	34	1	examples	example	NOUN
brj-23798	34	2	,	,	PUNCT
brj-23798	34	3	from	from	ADP
brj-23798	34	4	left	leave	VERB
brj-23798	34	5	to	to	ADP
brj-23798	34	6	right	right	NOUN
brj-23798	34	7	,	,	PUNCT
brj-23798	34	8	of	of	ADP
brj-23798	34	9	the	the	DET
brj-23798	34	10	three	three	NUM
brj-23798	34	11	porosity	porosity	NOUN
brj-23798	34	12	domains	domain	NOUN
brj-23798	34	13	:	:	PUNCT
brj-23798	34	14	diffuse	diffuse	NOUN
brj-23798	34	15	-	-	PUNCT
brj-23798	34	16	porous	porous	ADJ
brj-23798	34	17	(	(	PUNCT
brj-23798	34	18	a	a	DET
brj-23798	34	19	:	:	PUNCT
brj-23798	34	20	acer	acer	NOUN
brj-23798	34	21	saccharum	saccharum	PROPN
brj-23798	34	22	)	)	PUNCT
brj-23798	34	23	,	,	PUNCT
brj-23798	34	24	ring	ring	NOUN
brj-23798	34	25	-	-	PUNCT
brj-23798	34	26	porous	porous	ADJ
brj-23798	34	27	(	(	PUNCT
brj-23798	34	28	b	b	NOUN
brj-23798	34	29	:	:	PUNCT
brj-23798	34	30	quercus	quercus	ADJ
brj-23798	34	31	falcata	falcata	NOUN
brj-23798	34	32	)	)	PUNCT
brj-23798	34	33	,	,	PUNCT
brj-23798	34	34	and	and	CCONJ
brj-23798	34	35	semi	semi	ADJ
brj-23798	34	36	-	-	ADJ
brj-23798	34	37	ring	ring	NOUN
brj-23798	34	38	-	-	PUNCT
brj-23798	34	39	porous	porous	ADJ
brj-23798	34	40	(	(	PUNCT
brj-23798	34	41	c	c	NOUN
brj-23798	34	42	:	:	PUNCT
brj-23798	34	43	diospyros	diospyros	PROPN
brj-23798	34	44	virginiana	virginiana	PROPN
brj-23798	34	45	)	)	PUNCT
brj-23798	34	46	woods	wood	VERB
brj-23798	34	47	a	a	DET
brj-23798	34	48	b	b	NOUN
brj-23798	34	49	c	c	NOUN
brj-23798	34	50	peer	peer	NOUN
brj-23798	34	51	-	-	PUNCT
brj-23798	34	52	reviewed	review	VERB
brj-23798	34	53	article	article	NOUN
brj-23798	34	54	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	34	55	owens	owens	PROPN
brj-23798	34	56	et	et	PROPN
brj-23798	34	57	al	al	PROPN
brj-23798	34	58	.	.	PROPN
brj-23798	35	1	(	(	PUNCT
brj-23798	35	2	2024	2024	NUM
brj-23798	35	3	)	)	PUNCT
brj-23798	35	4	.	.	PUNCT
brj-23798	36	1	“	"	PUNCT
brj-23798	36	2	computer	computer	NOUN
brj-23798	36	3	-	-	PUNCT
brj-23798	36	4	vision	vision	NOUN
brj-23798	36	5	wood	wood	NOUN
brj-23798	36	6	id	id	NOUN
brj-23798	36	7	-	-	ADJ
brj-23798	36	8	ing	ing	ADJ
brj-23798	36	9	,	,	PUNCT
brj-23798	36	10	”	"	PUNCT
brj-23798	36	11	bioresources	bioresource	NOUN
brj-23798	36	12	19(4	19(4	NUM
brj-23798	36	13	)	)	PUNCT
brj-23798	36	14	,	,	PUNCT
brj-23798	36	15	9741	9741	NUM
brj-23798	36	16	-	-	SYM
brj-23798	36	17	9772	9772	NUM
brj-23798	36	18	.	.	PUNCT
brj-23798	37	1	9743	9743	NUM
brj-23798	37	2	semi	semi	ADJ
brj-23798	37	3	-	-	ADJ
brj-23798	37	4	ring	ring	ADJ
brj-23798	37	5	-	-	PUNCT
brj-23798	37	6	porous	porous	ADJ
brj-23798	37	7	(	(	PUNCT
brj-23798	37	8	or	or	CCONJ
brj-23798	37	9	sometimes	sometimes	ADV
brj-23798	37	10	semi	semi	ADJ
brj-23798	37	11	-	-	ADJ
brj-23798	37	12	diffuse	diffuse	ADJ
brj-23798	37	13	-	-	PUNCT
brj-23798	37	14	porous	porous	ADJ
brj-23798	37	15	)	)	PUNCT
brj-23798	37	16	is	be	AUX
brj-23798	37	17	a	a	DET
brj-23798	37	18	category	category	NOUN
brj-23798	37	19	intermediate	intermediate	ADJ
brj-23798	37	20	between	between	ADP
brj-23798	37	21	the	the	DET
brj-23798	37	22	former	former	ADJ
brj-23798	37	23	and	and	CCONJ
brj-23798	37	24	the	the	DET
brj-23798	37	25	latter	latter	ADJ
brj-23798	37	26	in	in	ADP
brj-23798	37	27	which	which	PRON
brj-23798	37	28	growth	growth	NOUN
brj-23798	37	29	rings	ring	NOUN
brj-23798	37	30	exhibit	exhibit	VERB
brj-23798	37	31	a	a	DET
brj-23798	37	32	comparatively	comparatively	ADV
brj-23798	37	33	steady	steady	ADJ
brj-23798	37	34	decrease	decrease	NOUN
brj-23798	37	35	in	in	ADP
brj-23798	37	36	pore	pore	ADJ
brj-23798	37	37	diameter	diameter	NOUN
brj-23798	37	38	from	from	ADP
brj-23798	37	39	the	the	DET
brj-23798	37	40	earlywood	earlywood	NOUN
brj-23798	37	41	to	to	ADP
brj-23798	37	42	the	the	DET
brj-23798	37	43	latewood	latewood	PROPN
brj-23798	37	44	(	(	PUNCT
brj-23798	37	45	fig	fig	NOUN
brj-23798	37	46	.	.	PUNCT
brj-23798	38	1	1c	1c	NOUN
brj-23798	38	2	,	,	PUNCT
brj-23798	38	3	panshin	panshin	NOUN
brj-23798	38	4	and	and	CCONJ
brj-23798	38	5	de	de	X
brj-23798	38	6	zeeuw	zeeuw	PROPN
brj-23798	38	7	1980	1980	NUM
brj-23798	38	8	)	)	PUNCT
brj-23798	38	9	.	.	PUNCT
brj-23798	39	1	the	the	DET
brj-23798	39	2	concept	concept	NOUN
brj-23798	39	3	of	of	ADP
brj-23798	39	4	porosity	porosity	NOUN
brj-23798	39	5	domain	domain	NOUN
brj-23798	39	6	is	be	AUX
brj-23798	39	7	well	well	ADV
brj-23798	39	8	established	establish	VERB
brj-23798	39	9	in	in	ADP
brj-23798	39	10	the	the	DET
brj-23798	39	11	wood	wood	NOUN
brj-23798	39	12	anatomy	anatomy	NOUN
brj-23798	39	13	and	and	CCONJ
brj-23798	39	14	identification	identification	NOUN
brj-23798	39	15	literature	literature	NOUN
brj-23798	39	16	.	.	PUNCT
brj-23798	40	1	the	the	DET
brj-23798	40	2	terms	term	NOUN
brj-23798	40	3	ring	ring	NOUN
brj-23798	40	4	-	-	PUNCT
brj-23798	40	5	porous	porous	ADJ
brj-23798	40	6	and	and	CCONJ
brj-23798	40	7	diffuse	diffuse	NOUN
brj-23798	40	8	-	-	PUNCT
brj-23798	40	9	porous	porous	ADJ
brj-23798	40	10	have	have	AUX
brj-23798	40	11	been	be	AUX
brj-23798	40	12	used	use	VERB
brj-23798	40	13	since	since	SCONJ
brj-23798	40	14	at	at	ADP
brj-23798	40	15	least	least	ADJ
brj-23798	40	16	the	the	DET
brj-23798	40	17	19th	19th	ADJ
brj-23798	40	18	century	century	NOUN
brj-23798	40	19	(	(	PUNCT
brj-23798	40	20	roth	roth	NOUN
brj-23798	40	21	1895	1895	NUM
brj-23798	40	22	)	)	PUNCT
brj-23798	40	23	.	.	PUNCT
brj-23798	41	1	the	the	DET
brj-23798	41	2	addition	addition	NOUN
brj-23798	41	3	of	of	ADP
brj-23798	41	4	the	the	DET
brj-23798	41	5	category	category	NOUN
brj-23798	41	6	semi	semi	ADJ
brj-23798	41	7	-	-	ADJ
brj-23798	41	8	ring	ring	NOUN
brj-23798	41	9	-	-	PUNCT
brj-23798	41	10	porous	porous	ADJ
brj-23798	41	11	in	in	ADP
brj-23798	41	12	later	later	ADJ
brj-23798	41	13	years	year	NOUN
brj-23798	41	14	(	(	PUNCT
brj-23798	41	15	lodewick	lodewick	NOUN
brj-23798	41	16	1928	1928	NUM
brj-23798	41	17	;	;	PUNCT
brj-23798	41	18	brown	brown	PROPN
brj-23798	41	19	et	et	PROPN
brj-23798	41	20	al	al	PROPN
brj-23798	41	21	.	.	PROPN
brj-23798	41	22	1949	1949	NUM
brj-23798	41	23	)	)	PUNCT
brj-23798	41	24	suggests	suggest	VERB
brj-23798	41	25	that	that	SCONJ
brj-23798	41	26	porosity	porosity	NOUN
brj-23798	41	27	exists	exist	VERB
brj-23798	41	28	along	along	ADP
brj-23798	41	29	a	a	DET
brj-23798	41	30	spectrum	spectrum	NOUN
brj-23798	41	31	.	.	PUNCT
brj-23798	42	1	wood	wood	NOUN
brj-23798	42	2	belonging	belong	VERB
brj-23798	42	3	to	to	ADP
brj-23798	42	4	the	the	DET
brj-23798	42	5	genera	genera	NOUN
brj-23798	42	6	carya	carya	NOUN
brj-23798	42	7	and	and	CCONJ
brj-23798	42	8	populus	populus	NOUN
brj-23798	42	9	,	,	PUNCT
brj-23798	42	10	for	for	ADP
brj-23798	42	11	example	example	NOUN
brj-23798	42	12	,	,	PUNCT
brj-23798	42	13	exbibit	exbibit	NOUN
brj-23798	42	14	pore	pore	ADJ
brj-23798	42	15	sizes	size	NOUN
brj-23798	42	16	and	and	CCONJ
brj-23798	42	17	distributions	distribution	NOUN
brj-23798	42	18	that	that	PRON
brj-23798	42	19	commonly	commonly	ADV
brj-23798	42	20	intergrade	intergrade	VERB
brj-23798	42	21	between	between	ADP
brj-23798	42	22	ringand	ringand	NOUN
brj-23798	42	23	semi	semi	ADJ
brj-23798	42	24	-	-	ADJ
brj-23798	42	25	ring	ring	ADJ
brj-23798	42	26	-	-	PUNCT
brj-23798	42	27	porous	porous	ADJ
brj-23798	42	28	,	,	PUNCT
brj-23798	42	29	and	and	CCONJ
brj-23798	42	30	semi	semi	ADJ
brj-23798	42	31	-	-	ADJ
brj-23798	42	32	ringporous	ringporous	ADJ
brj-23798	42	33	and	and	CCONJ
brj-23798	42	34	diffuse	diffuse	NOUN
brj-23798	42	35	-	-	PUNCT
brj-23798	42	36	porous	porous	ADJ
brj-23798	42	37	,	,	PUNCT
brj-23798	42	38	respectively	respectively	ADV
brj-23798	42	39	(	(	PUNCT
brj-23798	42	40	hoadley	hoadley	NOUN
brj-23798	42	41	1990	1990	NUM
brj-23798	42	42	)	)	PUNCT
brj-23798	42	43	.	.	PUNCT
brj-23798	43	1	despite	despite	SCONJ
brj-23798	43	2	the	the	DET
brj-23798	43	3	potential	potential	NOUN
brj-23798	43	4	for	for	ADP
brj-23798	43	5	confusion	confusion	NOUN
brj-23798	43	6	at	at	ADP
brj-23798	43	7	the	the	DET
brj-23798	43	8	border	border	NOUN
brj-23798	43	9	of	of	ADP
brj-23798	43	10	discrete	discrete	ADJ
brj-23798	43	11	categories	category	NOUN
brj-23798	43	12	assigned	assign	VERB
brj-23798	43	13	to	to	ADP
brj-23798	43	14	a	a	DET
brj-23798	43	15	more	more	ADV
brj-23798	43	16	-	-	PUNCT
brj-23798	43	17	or	or	CCONJ
brj-23798	43	18	-	-	PUNCT
brj-23798	43	19	less	less	ADV
brj-23798	43	20	continuous	continuous	ADJ
brj-23798	43	21	characteristic	characteristic	NOUN
brj-23798	43	22	,	,	PUNCT
brj-23798	43	23	these	these	DET
brj-23798	43	24	porosity	porosity	NOUN
brj-23798	43	25	categories	category	NOUN
brj-23798	43	26	,	,	PUNCT
brj-23798	43	27	or	or	CCONJ
brj-23798	43	28	domains	domain	NOUN
brj-23798	43	29	,	,	PUNCT
brj-23798	43	30	have	have	AUX
brj-23798	43	31	proven	prove	VERB
brj-23798	43	32	useful	useful	ADJ
brj-23798	43	33	for	for	ADP
brj-23798	43	34	separating	separate	VERB
brj-23798	43	35	woods	wood	NOUN
brj-23798	43	36	anatomically	anatomically	ADV
brj-23798	43	37	for	for	ADP
brj-23798	43	38	more	more	ADJ
brj-23798	43	39	than	than	ADP
brj-23798	43	40	a	a	PRON
brj-23798	43	41	century	century	NOUN
brj-23798	43	42	.	.	PUNCT
brj-23798	44	1	a	a	DET
brj-23798	44	2	non	non	ADJ
brj-23798	44	3	-	-	ADJ
brj-23798	44	4	conventional	conventional	ADJ
brj-23798	44	5	wood	wood	NOUN
brj-23798	44	6	identification	identification	NOUN
brj-23798	44	7	method	method	NOUN
brj-23798	44	8	that	that	PRON
brj-23798	44	9	has	have	AUX
brj-23798	44	10	shown	show	VERB
brj-23798	44	11	great	great	ADJ
brj-23798	44	12	promise	promise	NOUN
brj-23798	44	13	is	be	AUX
brj-23798	44	14	computer	computer	NOUN
brj-23798	44	15	-	-	PUNCT
brj-23798	44	16	vision	vision	NOUN
brj-23798	44	17	(	(	PUNCT
brj-23798	44	18	khalid	khalid	PROPN
brj-23798	44	19	et	et	PROPN
brj-23798	44	20	al	al	PROPN
brj-23798	44	21	.	.	PROPN
brj-23798	44	22	2008	2008	NUM
brj-23798	44	23	;	;	PUNCT
brj-23798	45	1	esteban	esteban	PROPN
brj-23798	45	2	et	et	PROPN
brj-23798	45	3	al	al	PROPN
brj-23798	45	4	.	.	PROPN
brj-23798	45	5	2009	2009	NUM
brj-23798	45	6	;	;	PUNCT
brj-23798	45	7	nasirzadeh	nasirzadeh	PROPN
brj-23798	45	8	et	et	PROPN
brj-23798	45	9	al	al	PROPN
brj-23798	45	10	.	.	PROPN
brj-23798	45	11	2010	2010	NUM
brj-23798	45	12	;	;	PUNCT
brj-23798	45	13	wang	wang	PROPN
brj-23798	45	14	et	et	PROPN
brj-23798	45	15	al	al	PROPN
brj-23798	45	16	.	.	PROPN
brj-23798	45	17	2010	2010	NUM
brj-23798	45	18	;	;	PUNCT
brj-23798	45	19	hermanson	hermanson	NOUN
brj-23798	45	20	and	and	CCONJ
brj-23798	45	21	wiedenhoeft	wiedenhoeft	VERB
brj-23798	45	22	2011	2011	NUM
brj-23798	45	23	;	;	PUNCT
brj-23798	45	24	ravindran	ravindran	NOUN
brj-23798	45	25	et	et	PROPN
brj-23798	45	26	al	al	PROPN
brj-23798	45	27	.	.	PROPN
brj-23798	45	28	2018	2018	NUM
brj-23798	45	29	,	,	PUNCT
brj-23798	45	30	2022a	2022a	NUM
brj-23798	45	31	;	;	PUNCT
brj-23798	45	32	hwang	hwang	PROPN
brj-23798	45	33	and	and	CCONJ
brj-23798	45	34	sugiyama	sugiyama	NOUN
brj-23798	45	35	2021	2021	NUM
brj-23798	45	36	)	)	PUNCT
brj-23798	45	37	.	.	PUNCT
brj-23798	46	1	computer	computer	NOUN
brj-23798	46	2	-	-	PUNCT
brj-23798	46	3	vision	vision	NOUN
brj-23798	46	4	wood	wood	NOUN
brj-23798	46	5	identification	identification	NOUN
brj-23798	46	6	(	(	PUNCT
brj-23798	46	7	cvwid	cvwid	NOUN
brj-23798	46	8	)	)	PUNCT
brj-23798	46	9	involves	involve	VERB
brj-23798	46	10	the	the	DET
brj-23798	46	11	capture	capture	NOUN
brj-23798	46	12	and	and	CCONJ
brj-23798	46	13	analysis	analysis	NOUN
brj-23798	46	14	of	of	ADP
brj-23798	46	15	digital	digital	ADJ
brj-23798	46	16	images	image	NOUN
brj-23798	46	17	of	of	ADP
brj-23798	46	18	wood	wood	NOUN
brj-23798	46	19	specimens	specimen	NOUN
brj-23798	46	20	by	by	ADP
brj-23798	46	21	trained	train	VERB
brj-23798	46	22	classification	classification	NOUN
brj-23798	46	23	models	model	NOUN
brj-23798	46	24	leading	lead	VERB
brj-23798	46	25	to	to	ADP
brj-23798	46	26	an	an	DET
brj-23798	46	27	identification	identification	NOUN
brj-23798	46	28	(	(	PUNCT
brj-23798	46	29	as	as	SCONJ
brj-23798	46	30	reviewed	review	VERB
brj-23798	46	31	in	in	ADP
brj-23798	46	32	hwang	hwang	PROPN
brj-23798	46	33	and	and	CCONJ
brj-23798	46	34	sugiyama	sugiyama	NOUN
brj-23798	46	35	2021	2021	NUM
brj-23798	46	36	)	)	PUNCT
brj-23798	46	37	.	.	PUNCT
brj-23798	47	1	recently	recently	ADV
brj-23798	47	2	,	,	PUNCT
brj-23798	47	3	deep	deep	ADJ
brj-23798	47	4	learning	learning	NOUN
brj-23798	47	5	,	,	PUNCT
brj-23798	47	6	a	a	DET
brj-23798	47	7	powerful	powerful	ADJ
brj-23798	47	8	and	and	CCONJ
brj-23798	47	9	flexible	flexible	ADJ
brj-23798	47	10	approach	approach	NOUN
brj-23798	47	11	to	to	ADP
brj-23798	47	12	training	train	VERB
brj-23798	47	13	classification	classification	NOUN
brj-23798	47	14	models	model	NOUN
brj-23798	47	15	,	,	PUNCT
brj-23798	47	16	has	have	AUX
brj-23798	47	17	been	be	AUX
brj-23798	47	18	employed	employ	VERB
brj-23798	47	19	to	to	PART
brj-23798	47	20	sort	sort	VERB
brj-23798	47	21	images	image	NOUN
brj-23798	47	22	into	into	ADP
brj-23798	47	23	their	their	PRON
brj-23798	47	24	appropriate	appropriate	ADJ
brj-23798	47	25	,	,	PUNCT
brj-23798	47	26	pre	pre	ADJ
brj-23798	47	27	-	-	ADJ
brj-23798	47	28	defined	define	VERB
brj-23798	47	29	classes	class	NOUN
brj-23798	47	30	(	(	PUNCT
brj-23798	47	31	typically	typically	ADV
brj-23798	47	32	corresponding	correspond	VERB
brj-23798	47	33	to	to	ADP
brj-23798	47	34	species	specie	NOUN
brj-23798	47	35	,	,	PUNCT
brj-23798	47	36	genera	genera	NOUN
brj-23798	47	37	and/or	and/or	CCONJ
brj-23798	47	38	anatomically	anatomically	ADV
brj-23798	47	39	distinct	distinct	ADJ
brj-23798	47	40	subgeneric	subgeneric	ADJ
brj-23798	47	41	categories	category	NOUN
brj-23798	47	42	,	,	PUNCT
brj-23798	47	43	e.g.	e.g.	ADV
brj-23798	47	44	,	,	PUNCT
brj-23798	47	45	ravindran	ravindran	NOUN
brj-23798	47	46	et	et	PROPN
brj-23798	47	47	al	al	PROPN
brj-23798	47	48	.	.	PROPN
brj-23798	47	49	2018	2018	NUM
brj-23798	47	50	,	,	PUNCT
brj-23798	47	51	2022a	2022a	NUM
brj-23798	47	52	;	;	PUNCT
brj-23798	47	53	liu	liu	PROPN
brj-23798	47	54	et	et	PROPN
brj-23798	47	55	al	al	PROPN
brj-23798	47	56	.	.	PROPN
brj-23798	47	57	2024	2024	NUM
brj-23798	47	58	)	)	PUNCT
brj-23798	47	59	.	.	PUNCT
brj-23798	48	1	in	in	ADP
brj-23798	48	2	addition	addition	NOUN
brj-23798	48	3	to	to	ADP
brj-23798	48	4	high	high	ADJ
brj-23798	48	5	predictive	predictive	ADJ
brj-23798	48	6	accuracy	accuracy	NOUN
brj-23798	48	7	,	,	PUNCT
brj-23798	48	8	the	the	DET
brj-23798	48	9	relatively	relatively	ADV
brj-23798	48	10	low	low	ADJ
brj-23798	48	11	cost	cost	NOUN
brj-23798	48	12	and	and	CCONJ
brj-23798	48	13	portability	portability	NOUN
brj-23798	48	14	of	of	ADP
brj-23798	48	15	cvwid	cvwid	NOUN
brj-23798	48	16	systems	system	NOUN
brj-23798	48	17	such	such	ADJ
brj-23798	48	18	as	as	ADP
brj-23798	48	19	the	the	DET
brj-23798	48	20	xylotron	xylotron	PROPN
brj-23798	48	21	(	(	PUNCT
brj-23798	48	22	ravindran	ravindran	NOUN
brj-23798	48	23	et	et	PROPN
brj-23798	48	24	al	al	PROPN
brj-23798	48	25	.	.	PROPN
brj-23798	48	26	2020	2020	NUM
brj-23798	48	27	)	)	PUNCT
brj-23798	48	28	and	and	CCONJ
brj-23798	48	29	xylophone	xylophone	PROPN
brj-23798	48	30	(	(	PUNCT
brj-23798	48	31	wiedenhoeft	wiedenhoeft	NOUN
brj-23798	48	32	2020	2020	NUM
brj-23798	48	33	)	)	PUNCT
brj-23798	48	34	make	make	VERB
brj-23798	48	35	them	they	PRON
brj-23798	48	36	readily	readily	ADV
brj-23798	48	37	deployable	deployable	ADJ
brj-23798	48	38	in	in	ADP
brj-23798	48	39	the	the	DET
brj-23798	48	40	field	field	NOUN
brj-23798	48	41	.	.	PUNCT
brj-23798	49	1	in	in	ADP
brj-23798	49	2	previous	previous	ADJ
brj-23798	49	3	work	work	NOUN
brj-23798	49	4	on	on	ADP
brj-23798	49	5	north	north	ADJ
brj-23798	49	6	american	american	ADJ
brj-23798	49	7	hardwoods	hardwood	NOUN
brj-23798	49	8	,	,	PUNCT
brj-23798	49	9	ravindran	ravindran	NOUN
brj-23798	49	10	et	et	PROPN
brj-23798	49	11	al	al	PROPN
brj-23798	49	12	.	.	PROPN
brj-23798	49	13	(	(	PUNCT
brj-23798	49	14	2022a	2022a	NUM
brj-23798	49	15	,	,	PUNCT
brj-23798	49	16	b	b	NOUN
brj-23798	49	17	)	)	PUNCT
brj-23798	49	18	designed	design	VERB
brj-23798	49	19	separate	separate	ADJ
brj-23798	49	20	xylotron	xylotron	PROPN
brj-23798	49	21	models	model	NOUN
brj-23798	49	22	to	to	PART
brj-23798	49	23	differentiate	differentiate	VERB
brj-23798	49	24	22	22	NUM
brj-23798	49	25	classes	class	NOUN
brj-23798	49	26	of	of	ADP
brj-23798	49	27	diffuse	diffuse	NOUN
brj-23798	49	28	-	-	PUNCT
brj-23798	49	29	porous	porous	ADJ
brj-23798	49	30	and	and	CCONJ
brj-23798	49	31	17	17	NUM
brj-23798	49	32	classes	class	NOUN
brj-23798	49	33	of	of	ADP
brj-23798	49	34	ring	ring	NOUN
brj-23798	49	35	-	-	PUNCT
brj-23798	49	36	porous	porous	ADJ
brj-23798	49	37	woods	wood	NOUN
brj-23798	49	38	.	.	PUNCT
brj-23798	50	1	deploying	deploy	VERB
brj-23798	50	2	each	each	DET
brj-23798	50	3	model	model	NOUN
brj-23798	50	4	separately	separately	ADV
brj-23798	50	5	would	would	AUX
brj-23798	50	6	require	require	VERB
brj-23798	50	7	the	the	DET
brj-23798	50	8	operator	operator	NOUN
brj-23798	50	9	to	to	PART
brj-23798	50	10	make	make	VERB
brj-23798	50	11	a	a	DET
brj-23798	50	12	porosity	porosity	NOUN
brj-23798	50	13	domain	domain	NOUN
brj-23798	50	14	classification	classification	NOUN
brj-23798	50	15	(	(	PUNCT
brj-23798	50	16	e.g.	e.g.	ADV
brj-23798	50	17	,	,	PUNCT
brj-23798	50	18	diffuseor	diffuseor	NOUN
brj-23798	50	19	ring	ring	NOUN
brj-23798	50	20	-	-	PUNCT
brj-23798	50	21	porous	porous	ADJ
brj-23798	50	22	)	)	PUNCT
brj-23798	50	23	prior	prior	ADV
brj-23798	50	24	to	to	ADP
brj-23798	50	25	selecting	select	VERB
brj-23798	50	26	the	the	DET
brj-23798	50	27	appropriate	appropriate	ADJ
brj-23798	50	28	model	model	NOUN
brj-23798	50	29	.	.	PUNCT
brj-23798	51	1	as	as	SCONJ
brj-23798	51	2	differentiating	differentiate	VERB
brj-23798	51	3	among	among	ADP
brj-23798	51	4	porosity	porosity	NOUN
brj-23798	51	5	domains	domain	NOUN
brj-23798	51	6	requires	require	VERB
brj-23798	51	7	at	at	ADP
brj-23798	51	8	least	least	ADJ
brj-23798	51	9	some	some	DET
brj-23798	51	10	understanding	understanding	NOUN
brj-23798	51	11	of	of	ADP
brj-23798	51	12	wood	wood	NOUN
brj-23798	51	13	anatomy	anatomy	NOUN
brj-23798	51	14	,	,	PUNCT
brj-23798	51	15	maintaining	maintain	VERB
brj-23798	51	16	separate	separate	ADJ
brj-23798	51	17	models	model	NOUN
brj-23798	51	18	falls	fall	VERB
brj-23798	51	19	short	short	ADV
brj-23798	51	20	of	of	ADP
brj-23798	51	21	the	the	DET
brj-23798	51	22	promise	promise	NOUN
brj-23798	51	23	of	of	ADP
brj-23798	51	24	full	full	ADJ
brj-23798	51	25	automation	automation	NOUN
brj-23798	51	26	.	.	PUNCT
brj-23798	52	1	to	to	PART
brj-23798	52	2	realize	realize	VERB
brj-23798	52	3	a	a	DET
brj-23798	52	4	unified	unified	ADJ
brj-23798	52	5	cvwid	cvwid	NOUN
brj-23798	52	6	model	model	NOUN
brj-23798	52	7	for	for	ADP
brj-23798	52	8	north	north	ADJ
brj-23798	52	9	american	american	ADJ
brj-23798	52	10	hardwoods	hardwood	NOUN
brj-23798	52	11	,	,	PUNCT
brj-23798	52	12	it	it	PRON
brj-23798	52	13	is	be	AUX
brj-23798	52	14	necessary	necessary	ADJ
brj-23798	52	15	to	to	PART
brj-23798	52	16	combine	combine	VERB
brj-23798	52	17	ring	ring	NOUN
brj-23798	52	18	-	-	PUNCT
brj-23798	52	19	porous	porous	ADJ
brj-23798	52	20	and	and	CCONJ
brj-23798	52	21	diffuse	diffuse	ADJ
brj-23798	52	22	-	-	PUNCT
brj-23798	52	23	porous	porous	ADJ
brj-23798	52	24	woods	wood	NOUN
brj-23798	52	25	into	into	ADP
brj-23798	52	26	the	the	DET
brj-23798	52	27	same	same	ADJ
brj-23798	52	28	model	model	NOUN
brj-23798	52	29	and	and	CCONJ
brj-23798	52	30	add	add	VERB
brj-23798	52	31	semi	semi	ADJ
brj-23798	52	32	-	-	ADJ
brj-23798	52	33	ring	ring	ADJ
brj-23798	52	34	-	-	PUNCT
brj-23798	52	35	porous	porous	ADJ
brj-23798	52	36	woods	wood	NOUN
brj-23798	52	37	to	to	PART
brj-23798	52	38	cover	cover	VERB
brj-23798	52	39	the	the	DET
brj-23798	52	40	entire	entire	ADJ
brj-23798	52	41	porosity	porosity	NOUN
brj-23798	52	42	domain	domain	NOUN
brj-23798	52	43	spectrum	spectrum	NOUN
brj-23798	52	44	.	.	PUNCT
brj-23798	53	1	consolidating	consolidate	VERB
brj-23798	53	2	models	model	NOUN
brj-23798	53	3	from	from	ADP
brj-23798	53	4	disparate	disparate	ADJ
brj-23798	53	5	porosity	porosity	NOUN
brj-23798	53	6	domains	domain	NOUN
brj-23798	53	7	has	have	VERB
brj-23798	53	8	the	the	DET
brj-23798	53	9	potential	potential	NOUN
brj-23798	53	10	to	to	PART
brj-23798	53	11	impact	impact	VERB
brj-23798	53	12	model	model	NOUN
brj-23798	53	13	performance	performance	NOUN
brj-23798	53	14	.	.	PUNCT
brj-23798	54	1	previous	previous	ADJ
brj-23798	54	2	research	research	NOUN
brj-23798	54	3	suggests	suggest	VERB
brj-23798	54	4	that	that	SCONJ
brj-23798	54	5	predictive	predictive	ADJ
brj-23798	54	6	accuracy	accuracy	NOUN
brj-23798	54	7	could	could	AUX
brj-23798	54	8	decrease	decrease	VERB
brj-23798	54	9	as	as	SCONJ
brj-23798	54	10	class	class	NOUN
brj-23798	54	11	number	number	NOUN
brj-23798	54	12	grows	grow	VERB
brj-23798	54	13	(	(	PUNCT
brj-23798	54	14	bilal	bilal	PROPN
brj-23798	54	15	et	et	PROPN
brj-23798	54	16	al	al	PROPN
brj-23798	54	17	.	.	PROPN
brj-23798	54	18	2018	2018	NUM
brj-23798	54	19	;	;	PUNCT
brj-23798	54	20	shigei	shigei	NOUN
brj-23798	54	21	2019	2019	NUM
brj-23798	54	22	;	;	PUNCT
brj-23798	54	23	ravindran	ravindran	NOUN
brj-23798	54	24	et	et	PROPN
brj-23798	54	25	al	al	PROPN
brj-23798	54	26	.	.	PROPN
brj-23798	54	27	2022a	2022a	NUM
brj-23798	54	28	,	,	PUNCT
brj-23798	54	29	b	b	NOUN
brj-23798	54	30	)	)	PUNCT
brj-23798	54	31	,	,	PUNCT
brj-23798	54	32	so	so	CCONJ
brj-23798	54	33	it	it	PRON
brj-23798	54	34	is	be	AUX
brj-23798	54	35	not	not	PART
brj-23798	54	36	unreasonable	unreasonable	ADJ
brj-23798	54	37	to	to	PART
brj-23798	54	38	expect	expect	VERB
brj-23798	54	39	an	an	DET
brj-23798	54	40	increase	increase	NOUN
brj-23798	54	41	in	in	ADP
brj-23798	54	42	misclassifications	misclassification	NOUN
brj-23798	54	43	when	when	SCONJ
brj-23798	54	44	combining	combine	VERB
brj-23798	54	45	a	a	DET
brj-23798	54	46	22	22	NUM
brj-23798	54	47	-	-	PUNCT
brj-23798	54	48	class	class	NOUN
brj-23798	54	49	label	label	NOUN
brj-23798	54	50	space	space	NOUN
brj-23798	54	51	with	with	ADP
brj-23798	54	52	a	a	DET
brj-23798	54	53	17	17	NUM
brj-23798	54	54	-	-	PUNCT
brj-23798	54	55	class	class	NOUN
brj-23798	54	56	label	label	NOUN
brj-23798	54	57	space	space	NOUN
brj-23798	54	58	to	to	PART
brj-23798	54	59	yield	yield	VERB
brj-23798	54	60	a	a	DET
brj-23798	54	61	39	39	NUM
brj-23798	54	62	-	-	PUNCT
brj-23798	54	63	class	class	NOUN
brj-23798	54	64	model	model	NOUN
brj-23798	54	65	.	.	PUNCT
brj-23798	55	1	in	in	ADP
brj-23798	55	2	addition	addition	NOUN
brj-23798	55	3	,	,	PUNCT
brj-23798	55	4	even	even	ADV
brj-23798	55	5	highly	highly	ADV
brj-23798	55	6	accurate	accurate	ADJ
brj-23798	55	7	cvwid	cvwid	NOUN
brj-23798	55	8	models	model	NOUN
brj-23798	55	9	have	have	AUX
brj-23798	55	10	been	be	AUX
brj-23798	55	11	shown	show	VERB
brj-23798	55	12	to	to	PART
brj-23798	55	13	occasionally	occasionally	ADV
brj-23798	55	14	produce	produce	VERB
brj-23798	55	15	anatomically	anatomically	ADV
brj-23798	55	16	unexplainable	unexplainable	ADJ
brj-23798	55	17	predictions	prediction	NOUN
brj-23798	55	18	of	of	ADP
brj-23798	55	19	the	the	DET
brj-23798	55	20	kind	kind	NOUN
brj-23798	55	21	that	that	PRON
brj-23798	55	22	no	no	DET
brj-23798	55	23	human	human	NOUN
brj-23798	55	24	would	would	AUX
brj-23798	55	25	likely	likely	ADV
brj-23798	55	26	make	make	VERB
brj-23798	55	27	(	(	PUNCT
brj-23798	55	28	ravindran	ravindran	NOUN
brj-23798	55	29	et	et	PROPN
brj-23798	55	30	al	al	PROPN
brj-23798	55	31	.	.	PROPN
brj-23798	55	32	2021	2021	NUM
brj-23798	55	33	,	,	PUNCT
brj-23798	55	34	2022a	2022a	NUM
brj-23798	55	35	,	,	PUNCT
brj-23798	55	36	b	b	NOUN
brj-23798	55	37	)	)	PUNCT
brj-23798	55	38	,	,	PUNCT
brj-23798	55	39	defined	define	VERB
brj-23798	55	40	as	as	ADP
brj-23798	55	41	a	a	DET
brj-23798	55	42	type	type	NOUN
brj-23798	55	43	3	3	NUM
brj-23798	55	44	misclassification	misclassification	NOUN
brj-23798	55	45	in	in	ADP
brj-23798	55	46	ravindran	ravindran	NOUN
brj-23798	55	47	et	et	PROPN
brj-23798	55	48	al	al	PROPN
brj-23798	55	49	.	.	PROPN
brj-23798	55	50	(	(	PUNCT
brj-23798	55	51	2022a	2022a	NUM
brj-23798	55	52	)	)	PUNCT
brj-23798	55	53	.	.	PUNCT
brj-23798	56	1	in	in	ADP
brj-23798	56	2	a	a	DET
brj-23798	56	3	consolidated	consolidated	ADJ
brj-23798	56	4	model	model	NOUN
brj-23798	56	5	of	of	ADP
brj-23798	56	6	north	north	ADJ
brj-23798	56	7	american	american	ADJ
brj-23798	56	8	hardwoods	hardwood	NOUN
brj-23798	56	9	,	,	PUNCT
brj-23798	56	10	credibility	credibility	NOUN
brj-23798	56	11	-	-	PUNCT
brj-23798	56	12	reducing	reduce	VERB
brj-23798	56	13	cross	cross	ADJ
brj-23798	56	14	-	-	ADJ
brj-23798	56	15	domain	domain	ADJ
brj-23798	56	16	misclassifications	misclassification	NOUN
brj-23798	56	17	between	between	ADP
brj-23798	56	18	woods	wood	NOUN
brj-23798	56	19	of	of	ADP
brj-23798	56	20	disparate	disparate	ADJ
brj-23798	56	21	porosity	porosity	NOUN
brj-23798	56	22	domains	domain	NOUN
brj-23798	56	23	become	become	VERB
brj-23798	56	24	a	a	DET
brj-23798	56	25	possibility	possibility	NOUN
brj-23798	56	26	.	.	PUNCT
brj-23798	57	1	while	while	SCONJ
brj-23798	57	2	they	they	PRON
brj-23798	57	3	both	both	PRON
brj-23798	57	4	arrive	arrive	VERB
brj-23798	57	5	at	at	ADP
brj-23798	57	6	a	a	DET
brj-23798	57	7	common	common	ADJ
brj-23798	57	8	end	end	NOUN
brj-23798	57	9	–	–	PUNCT
brj-23798	57	10	namely	namely	ADV
brj-23798	57	11	,	,	PUNCT
brj-23798	57	12	the	the	DET
brj-23798	57	13	assignment	assignment	NOUN
brj-23798	57	14	of	of	ADP
brj-23798	57	15	a	a	DET
brj-23798	57	16	taxonomic	taxonomic	ADJ
brj-23798	57	17	label	label	NOUN
brj-23798	57	18	to	to	ADP
brj-23798	57	19	a	a	DET
brj-23798	57	20	specimen	speciman	NOUN
brj-23798	57	21	of	of	ADP
brj-23798	57	22	wood	wood	NOUN
brj-23798	57	23	–	–	PUNCT
brj-23798	57	24	the	the	DET
brj-23798	57	25	process	process	NOUN
brj-23798	57	26	of	of	ADP
brj-23798	57	27	cvwid	cvwid	NOUN
brj-23798	57	28	is	be	AUX
brj-23798	57	29	different	different	ADJ
brj-23798	57	30	from	from	ADP
brj-23798	57	31	conventional	conventional	ADJ
brj-23798	57	32	human	human	NOUN
brj-23798	57	33	-	-	PUNCT
brj-23798	57	34	based	base	VERB
brj-23798	57	35	wood	wood	NOUN
brj-23798	57	36	identification	identification	NOUN
brj-23798	57	37	.	.	PUNCT
brj-23798	58	1	the	the	DET
brj-23798	58	2	image	image	NOUN
brj-23798	58	3	-	-	PUNCT
brj-23798	58	4	based	base	VERB
brj-23798	58	5	cvwid	cvwid	NOUN
brj-23798	58	6	used	use	VERB
brj-23798	58	7	in	in	ADP
brj-23798	58	8	ravindran	ravindran	NOUN
brj-23798	58	9	et	et	PROPN
brj-23798	58	10	al	al	PROPN
brj-23798	58	11	.	.	PROPN
brj-23798	58	12	peer	peer	NOUN
brj-23798	58	13	-	-	PUNCT
brj-23798	58	14	reviewed	review	VERB
brj-23798	58	15	article	article	NOUN
brj-23798	58	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	58	17	owens	owens	PROPN
brj-23798	58	18	et	et	PROPN
brj-23798	58	19	al	al	PROPN
brj-23798	58	20	.	.	PROPN
brj-23798	59	1	(	(	PUNCT
brj-23798	59	2	2024	2024	NUM
brj-23798	59	3	)	)	PUNCT
brj-23798	59	4	.	.	PUNCT
brj-23798	60	1	“	"	PUNCT
brj-23798	60	2	computer	computer	NOUN
brj-23798	60	3	-	-	PUNCT
brj-23798	60	4	vision	vision	NOUN
brj-23798	60	5	wood	wood	NOUN
brj-23798	60	6	id	id	NOUN
brj-23798	60	7	-	-	ADJ
brj-23798	60	8	ing	ing	ADJ
brj-23798	60	9	,	,	PUNCT
brj-23798	60	10	”	"	PUNCT
brj-23798	60	11	bioresources	bioresource	NOUN
brj-23798	60	12	19(4	19(4	NUM
brj-23798	60	13	)	)	PUNCT
brj-23798	60	14	,	,	PUNCT
brj-23798	60	15	9741	9741	NUM
brj-23798	60	16	-	-	SYM
brj-23798	60	17	9772	9772	NUM
brj-23798	60	18	.	.	PUNCT
brj-23798	61	1	9744	9744	NUM
brj-23798	61	2	(	(	PUNCT
brj-23798	61	3	2022a	2022a	NUM
brj-23798	61	4	,	,	PUNCT
brj-23798	61	5	b	b	X
brj-23798	61	6	)	)	PUNCT
brj-23798	61	7	differs	differ	VERB
brj-23798	61	8	from	from	ADP
brj-23798	61	9	human	human	NOUN
brj-23798	61	10	-	-	PUNCT
brj-23798	61	11	based	base	VERB
brj-23798	61	12	identification	identification	NOUN
brj-23798	61	13	in	in	ADP
brj-23798	61	14	two	two	NUM
brj-23798	61	15	important	important	ADJ
brj-23798	61	16	ways	way	NOUN
brj-23798	61	17	.	.	PUNCT
brj-23798	62	1	first	first	ADV
brj-23798	62	2	,	,	PUNCT
brj-23798	62	3	it	it	PRON
brj-23798	62	4	is	be	AUX
brj-23798	62	5	not	not	PART
brj-23798	62	6	clear	clear	ADJ
brj-23798	62	7	how	how	SCONJ
brj-23798	62	8	the	the	DET
brj-23798	62	9	features	feature	VERB
brj-23798	62	10	the	the	DET
brj-23798	62	11	model	model	NOUN
brj-23798	62	12	detects	detect	NOUN
brj-23798	62	13	in	in	ADP
brj-23798	62	14	the	the	DET
brj-23798	62	15	digital	digital	ADJ
brj-23798	62	16	image	image	NOUN
brj-23798	62	17	correspond	correspond	VERB
brj-23798	62	18	to	to	ADP
brj-23798	62	19	anatomical	anatomical	ADJ
brj-23798	62	20	features	feature	NOUN
brj-23798	62	21	that	that	PRON
brj-23798	62	22	would	would	AUX
brj-23798	62	23	be	be	AUX
brj-23798	62	24	used	use	VERB
brj-23798	62	25	in	in	ADP
brj-23798	62	26	a	a	DET
brj-23798	62	27	key	key	NOUN
brj-23798	62	28	.	.	PUNCT
brj-23798	63	1	second	second	ADJ
brj-23798	63	2	,	,	PUNCT
brj-23798	63	3	computer	computer	NOUN
brj-23798	63	4	-	-	PUNCT
brj-23798	63	5	vision	vision	NOUN
brj-23798	63	6	image	image	NOUN
brj-23798	63	7	classification	classification	NOUN
brj-23798	63	8	is	be	AUX
brj-23798	63	9	based	base	VERB
brj-23798	63	10	on	on	ADP
brj-23798	63	11	a	a	DET
brj-23798	63	12	single	single	ADJ
brj-23798	63	13	decision	decision	NOUN
brj-23798	63	14	step	step	NOUN
brj-23798	63	15	as	as	SCONJ
brj-23798	63	16	opposed	oppose	VERB
brj-23798	63	17	to	to	ADP
brj-23798	63	18	the	the	DET
brj-23798	63	19	explicit	explicit	ADJ
brj-23798	63	20	,	,	PUNCT
brj-23798	63	21	cascading	cascade	VERB
brj-23798	63	22	sequence	sequence	NOUN
brj-23798	63	23	of	of	ADP
brj-23798	63	24	decisions	decision	NOUN
brj-23798	63	25	found	find	VERB
brj-23798	63	26	in	in	ADP
brj-23798	63	27	a	a	DET
brj-23798	63	28	wood	wood	NOUN
brj-23798	63	29	identification	identification	NOUN
brj-23798	63	30	key	key	NOUN
brj-23798	63	31	.	.	PUNCT
brj-23798	64	1	in	in	ADP
brj-23798	64	2	short	short	ADJ
brj-23798	64	3	,	,	PUNCT
brj-23798	64	4	though	though	SCONJ
brj-23798	64	5	the	the	DET
brj-23798	64	6	features	feature	NOUN
brj-23798	64	7	employed	employ	VERB
brj-23798	64	8	by	by	ADP
brj-23798	64	9	the	the	DET
brj-23798	64	10	model	model	NOUN
brj-23798	64	11	are	be	AUX
brj-23798	64	12	implicitly	implicitly	ADV
brj-23798	64	13	hierarchical	hierarchical	ADJ
brj-23798	64	14	,	,	PUNCT
brj-23798	64	15	it	it	PRON
brj-23798	64	16	is	be	AUX
brj-23798	64	17	difficult	difficult	ADJ
brj-23798	64	18	to	to	PART
brj-23798	64	19	rigorously	rigorously	ADV
brj-23798	64	20	explain	explain	VERB
brj-23798	64	21	why	why	SCONJ
brj-23798	64	22	a	a	DET
brj-23798	64	23	decision	decision	NOUN
brj-23798	64	24	was	be	AUX
brj-23798	64	25	made	make	VERB
brj-23798	64	26	by	by	ADP
brj-23798	64	27	a	a	DET
brj-23798	64	28	trained	train	VERB
brj-23798	64	29	classification	classification	NOUN
brj-23798	64	30	model	model	NOUN
brj-23798	64	31	.	.	PUNCT
brj-23798	65	1	these	these	DET
brj-23798	65	2	differences	difference	NOUN
brj-23798	65	3	contribute	contribute	VERB
brj-23798	65	4	to	to	ADP
brj-23798	65	5	a	a	DET
brj-23798	65	6	few	few	ADJ
brj-23798	65	7	limitations	limitation	NOUN
brj-23798	65	8	.	.	PUNCT
brj-23798	66	1	cvwid	cvwid	NOUN
brj-23798	66	2	,	,	PUNCT
brj-23798	66	3	though	though	SCONJ
brj-23798	66	4	rapid	rapid	ADJ
brj-23798	66	5	and	and	CCONJ
brj-23798	66	6	highly	highly	ADV
brj-23798	66	7	accurate	accurate	ADJ
brj-23798	66	8	,	,	PUNCT
brj-23798	66	9	still	still	ADV
brj-23798	66	10	has	have	VERB
brj-23798	66	11	the	the	DET
brj-23798	66	12	potential	potential	NOUN
brj-23798	66	13	to	to	PART
brj-23798	66	14	make	make	VERB
brj-23798	66	15	type	type	NOUN
brj-23798	66	16	3	3	NUM
brj-23798	66	17	misclassifications	misclassification	NOUN
brj-23798	66	18	,	,	PUNCT
brj-23798	66	19	those	those	PRON
brj-23798	66	20	that	that	PRON
brj-23798	66	21	trained	train	VERB
brj-23798	66	22	humans	human	NOUN
brj-23798	66	23	would	would	AUX
brj-23798	66	24	almost	almost	ADV
brj-23798	66	25	never	never	ADV
brj-23798	66	26	make	make	VERB
brj-23798	66	27	such	such	ADJ
brj-23798	66	28	as	as	ADP
brj-23798	66	29	cross	cross	ADJ
brj-23798	66	30	-	-	ADJ
brj-23798	66	31	domain	domain	ADJ
brj-23798	66	32	misidentifications	misidentification	NOUN
brj-23798	66	33	(	(	PUNCT
brj-23798	66	34	e.g.	e.g.	ADV
brj-23798	66	35	,	,	PUNCT
brj-23798	66	36	confusing	confuse	VERB
brj-23798	66	37	a	a	DET
brj-23798	66	38	hardwood	hardwood	NOUN
brj-23798	66	39	for	for	ADP
brj-23798	66	40	a	a	DET
brj-23798	66	41	softwood	softwood	NOUN
brj-23798	66	42	or	or	CCONJ
brj-23798	66	43	a	a	DET
brj-23798	66	44	diffuse	diffuse	NOUN
brj-23798	66	45	-	-	PUNCT
brj-23798	66	46	porous	porous	ADJ
brj-23798	66	47	wood	wood	NOUN
brj-23798	66	48	for	for	ADP
brj-23798	66	49	a	a	DET
brj-23798	66	50	ring	ring	NOUN
brj-23798	66	51	-	-	PUNCT
brj-23798	66	52	porous	porous	ADJ
brj-23798	66	53	wood	wood	NOUN
brj-23798	66	54	)	)	PUNCT
brj-23798	66	55	.	.	PUNCT
brj-23798	67	1	also	also	ADV
brj-23798	67	2	,	,	PUNCT
brj-23798	67	3	as	as	SCONJ
brj-23798	67	4	the	the	DET
brj-23798	67	5	number	number	NOUN
brj-23798	67	6	of	of	ADP
brj-23798	67	7	classes	class	NOUN
brj-23798	67	8	increases	increase	NOUN
brj-23798	67	9	,	,	PUNCT
brj-23798	67	10	the	the	DET
brj-23798	67	11	model	model	NOUN
brj-23798	67	12	has	have	VERB
brj-23798	67	13	no	no	DET
brj-23798	67	14	explicit	explicit	ADJ
brj-23798	67	15	mechanism	mechanism	NOUN
brj-23798	67	16	to	to	PART
brj-23798	67	17	break	break	VERB
brj-23798	67	18	down	down	ADP
brj-23798	67	19	the	the	DET
brj-23798	67	20	task	task	NOUN
brj-23798	67	21	of	of	ADP
brj-23798	67	22	identification	identification	NOUN
brj-23798	67	23	into	into	ADP
brj-23798	67	24	smaller	small	ADJ
brj-23798	67	25	steps	step	NOUN
brj-23798	67	26	to	to	PART
brj-23798	67	27	limit	limit	VERB
brj-23798	67	28	the	the	DET
brj-23798	67	29	number	number	NOUN
brj-23798	67	30	of	of	ADP
brj-23798	67	31	classes	class	NOUN
brj-23798	67	32	it	it	PRON
brj-23798	67	33	must	must	AUX
brj-23798	67	34	discriminate	discriminate	VERB
brj-23798	67	35	.	.	PUNCT
brj-23798	68	1	breaking	break	VERB
brj-23798	68	2	down	down	ADP
brj-23798	68	3	a	a	DET
brj-23798	68	4	cvwid	cvwid	NOUN
brj-23798	68	5	model	model	NOUN
brj-23798	68	6	with	with	ADP
brj-23798	68	7	many	many	ADJ
brj-23798	68	8	classes	class	NOUN
brj-23798	68	9	into	into	ADP
brj-23798	68	10	a	a	DET
brj-23798	68	11	cascade	cascade	NOUN
brj-23798	68	12	or	or	CCONJ
brj-23798	68	13	tree	tree	NOUN
brj-23798	68	14	of	of	ADP
brj-23798	68	15	models	model	NOUN
brj-23798	68	16	with	with	ADP
brj-23798	68	17	fewer	few	ADJ
brj-23798	68	18	classes	class	NOUN
brj-23798	68	19	at	at	ADP
brj-23798	68	20	each	each	DET
brj-23798	68	21	level	level	NOUN
brj-23798	68	22	might	might	AUX
brj-23798	68	23	help	help	VERB
brj-23798	68	24	reduce	reduce	VERB
brj-23798	68	25	the	the	DET
brj-23798	68	26	occurrence	occurrence	NOUN
brj-23798	68	27	of	of	ADP
brj-23798	68	28	type	type	NOUN
brj-23798	68	29	3	3	NUM
brj-23798	68	30	misclassifications	misclassification	NOUN
brj-23798	68	31	and	and	CCONJ
brj-23798	68	32	better	well	ADV
brj-23798	68	33	enable	enable	VERB
brj-23798	68	34	a	a	DET
brj-23798	68	35	cvwid	cvwid	NOUN
brj-23798	68	36	system	system	NOUN
brj-23798	68	37	to	to	PART
brj-23798	68	38	handle	handle	VERB
brj-23798	68	39	larger	large	ADJ
brj-23798	68	40	numbers	number	NOUN
brj-23798	68	41	of	of	ADP
brj-23798	68	42	classes	class	NOUN
brj-23798	68	43	without	without	ADP
brj-23798	68	44	a	a	DET
brj-23798	68	45	drop	drop	NOUN
brj-23798	68	46	in	in	ADP
brj-23798	68	47	accuracy	accuracy	NOUN
brj-23798	68	48	,	,	PUNCT
brj-23798	68	49	especially	especially	ADV
brj-23798	68	50	in	in	ADP
brj-23798	68	51	the	the	DET
brj-23798	68	52	medium	medium	ADJ
brj-23798	68	53	-	-	PUNCT
brj-23798	68	54	sized	sized	ADJ
brj-23798	68	55	dataset	dataset	ADJ
brj-23798	68	56	regime	regime	NOUN
brj-23798	68	57	typical	typical	ADJ
brj-23798	68	58	in	in	ADP
brj-23798	68	59	cvwid	cvwid	NOUN
brj-23798	68	60	.	.	PUNCT
brj-23798	69	1	until	until	SCONJ
brj-23798	69	2	a	a	DET
brj-23798	69	3	cvwid	cvwid	NOUN
brj-23798	69	4	model	model	NOUN
brj-23798	69	5	can	can	AUX
brj-23798	69	6	employ	employ	VERB
brj-23798	69	7	explicit	explicit	ADJ
brj-23798	69	8	and	and	CCONJ
brj-23798	69	9	enumerable	enumerable	ADJ
brj-23798	69	10	semantic	semantic	ADJ
brj-23798	69	11	information	information	NOUN
brj-23798	69	12	allowing	allow	VERB
brj-23798	69	13	it	it	PRON
brj-23798	69	14	to	to	PART
brj-23798	69	15	identify	identify	VERB
brj-23798	69	16	the	the	DET
brj-23798	69	17	pixels	pixel	NOUN
brj-23798	69	18	in	in	ADP
brj-23798	69	19	an	an	DET
brj-23798	69	20	image	image	NOUN
brj-23798	69	21	that	that	PRON
brj-23798	69	22	correspond	correspond	VERB
brj-23798	69	23	to	to	ADP
brj-23798	69	24	particular	particular	ADJ
brj-23798	69	25	anatomical	anatomical	ADJ
brj-23798	69	26	features	feature	NOUN
brj-23798	69	27	(	(	PUNCT
brj-23798	69	28	such	such	ADJ
brj-23798	69	29	as	as	ADP
brj-23798	69	30	vessels	vessel	NOUN
brj-23798	69	31	,	,	PUNCT
brj-23798	69	32	rays	ray	NOUN
brj-23798	69	33	,	,	PUNCT
brj-23798	69	34	fibers	fiber	NOUN
brj-23798	69	35	,	,	PUNCT
brj-23798	69	36	etc	etc	X
brj-23798	69	37	.	.	X
brj-23798	69	38	)	)	PUNCT
brj-23798	69	39	,	,	PUNCT
brj-23798	69	40	it	it	PRON
brj-23798	69	41	is	be	AUX
brj-23798	69	42	not	not	PART
brj-23798	69	43	possible	possible	ADJ
brj-23798	69	44	to	to	PART
brj-23798	69	45	duplicate	duplicate	VERB
brj-23798	69	46	the	the	DET
brj-23798	69	47	decisionmaking	decisionmake	VERB
brj-23798	69	48	process	process	NOUN
brj-23798	69	49	of	of	ADP
brj-23798	69	50	a	a	DET
brj-23798	69	51	wood	wood	NOUN
brj-23798	69	52	identification	identification	NOUN
brj-23798	69	53	key	key	NOUN
brj-23798	69	54	.	.	PUNCT
brj-23798	70	1	it	it	PRON
brj-23798	70	2	is	be	AUX
brj-23798	70	3	possible	possible	ADJ
brj-23798	70	4	to	to	PART
brj-23798	70	5	approximate	approximate	VERB
brj-23798	70	6	that	that	DET
brj-23798	70	7	process	process	NOUN
brj-23798	70	8	by	by	ADP
brj-23798	70	9	developing	develop	VERB
brj-23798	70	10	new	new	ADJ
brj-23798	70	11	classifiers	classifier	NOUN
brj-23798	70	12	based	base	VERB
brj-23798	70	13	on	on	ADP
brj-23798	70	14	wood	wood	NOUN
brj-23798	70	15	anatomical	anatomical	ADJ
brj-23798	70	16	character	character	NOUN
brj-23798	70	17	-	-	PUNCT
brj-23798	70	18	based	base	VERB
brj-23798	70	19	label	label	NOUN
brj-23798	70	20	spaces	space	NOUN
brj-23798	70	21	rather	rather	ADV
brj-23798	70	22	than	than	ADP
brj-23798	70	23	taxonomic	taxonomic	ADJ
brj-23798	70	24	label	label	NOUN
brj-23798	70	25	spaces	space	NOUN
brj-23798	70	26	–	–	PUNCT
brj-23798	70	27	for	for	ADP
brj-23798	70	28	example	example	NOUN
brj-23798	70	29	,	,	PUNCT
brj-23798	70	30	woods	wood	NOUN
brj-23798	70	31	with	with	ADP
brj-23798	70	32	marginal	marginal	ADJ
brj-23798	70	33	parenchyma	parenchyma	NOUN
brj-23798	70	34	vs.	vs.	ADP
brj-23798	70	35	woods	wood	NOUN
brj-23798	70	36	without	without	ADP
brj-23798	70	37	marginal	marginal	ADJ
brj-23798	70	38	parenchyma	parenchyma	NOUN
brj-23798	70	39	.	.	PUNCT
brj-23798	71	1	in	in	ADP
brj-23798	71	2	pursuit	pursuit	NOUN
brj-23798	71	3	of	of	ADP
brj-23798	71	4	a	a	DET
brj-23798	71	5	unified	unified	ADJ
brj-23798	71	6	model	model	NOUN
brj-23798	71	7	that	that	PRON
brj-23798	71	8	can	can	AUX
brj-23798	71	9	cover	cover	VERB
brj-23798	71	10	all	all	DET
brj-23798	71	11	commercial	commercial	ADJ
brj-23798	71	12	north	north	ADJ
brj-23798	71	13	american	american	ADJ
brj-23798	71	14	hardwoods	hardwood	NOUN
brj-23798	71	15	,	,	PUNCT
brj-23798	71	16	this	this	DET
brj-23798	71	17	study	study	NOUN
brj-23798	71	18	had	have	VERB
brj-23798	71	19	two	two	NUM
brj-23798	71	20	objectives	objective	NOUN
brj-23798	71	21	.	.	PUNCT
brj-23798	72	1	the	the	DET
brj-23798	72	2	first	first	ADJ
brj-23798	72	3	was	be	AUX
brj-23798	72	4	to	to	PART
brj-23798	72	5	determine	determine	VERB
brj-23798	72	6	how	how	SCONJ
brj-23798	72	7	accurately	accurately	ADV
brj-23798	72	8	a	a	DET
brj-23798	72	9	convolutional	convolutional	ADJ
brj-23798	72	10	neural	neural	ADJ
brj-23798	72	11	network	network	NOUN
brj-23798	72	12	(	(	PUNCT
brj-23798	72	13	cnn)-based	cnn)-base	VERB
brj-23798	72	14	model	model	NOUN
brj-23798	72	15	,	,	PUNCT
brj-23798	72	16	trained	train	VERB
brj-23798	72	17	using	use	VERB
brj-23798	72	18	the	the	DET
brj-23798	72	19	same	same	ADJ
brj-23798	72	20	pipeline	pipeline	NOUN
brj-23798	72	21	from	from	ADP
brj-23798	72	22	ravindran	ravindran	NOUN
brj-23798	72	23	et	et	PROPN
brj-23798	72	24	al	al	PROPN
brj-23798	72	25	.	.	PROPN
brj-23798	72	26	(	(	PUNCT
brj-23798	72	27	2022a	2022a	NUM
brj-23798	72	28	,	,	PUNCT
brj-23798	72	29	2022b	2022b	NUM
brj-23798	72	30	)	)	PUNCT
brj-23798	72	31	,	,	PUNCT
brj-23798	72	32	can	can	AUX
brj-23798	72	33	predict	predict	VERB
brj-23798	72	34	the	the	DET
brj-23798	72	35	39	39	NUM
brj-23798	72	36	classes	class	NOUN
brj-23798	72	37	of	of	ADP
brj-23798	72	38	(	(	PUNCT
brj-23798	72	39	22	22	NUM
brj-23798	72	40	)	)	PUNCT
brj-23798	72	41	diffuseand	diffuseand	NOUN
brj-23798	72	42	(	(	PUNCT
brj-23798	72	43	17	17	NUM
brj-23798	72	44	)	)	PUNCT
brj-23798	72	45	ringporous	ringporous	ADJ
brj-23798	72	46	woods	wood	NOUN
brj-23798	72	47	from	from	ADP
brj-23798	72	48	those	those	DET
brj-23798	72	49	publications	publication	NOUN
brj-23798	72	50	plus	plus	CCONJ
brj-23798	72	51	three	three	NUM
brj-23798	72	52	additional	additional	ADJ
brj-23798	72	53	classes	class	NOUN
brj-23798	72	54	of	of	ADP
brj-23798	72	55	semi	semi	ADJ
brj-23798	72	56	-	-	ADJ
brj-23798	72	57	ring	ring	ADJ
brj-23798	72	58	-	-	PUNCT
brj-23798	72	59	porous	porous	ADJ
brj-23798	72	60	woods	wood	NOUN
brj-23798	72	61	.	.	PUNCT
brj-23798	73	1	the	the	DET
brj-23798	73	2	second	second	ADJ
brj-23798	73	3	was	be	AUX
brj-23798	73	4	to	to	PART
brj-23798	73	5	determine	determine	VERB
brj-23798	73	6	if	if	SCONJ
brj-23798	73	7	gains	gain	NOUN
brj-23798	73	8	in	in	ADP
brj-23798	73	9	accuracy	accuracy	NOUN
brj-23798	73	10	might	might	AUX
brj-23798	73	11	be	be	AUX
brj-23798	73	12	achieved	achieve	VERB
brj-23798	73	13	(	(	PUNCT
brj-23798	73	14	or	or	CCONJ
brj-23798	73	15	losses	loss	NOUN
brj-23798	73	16	in	in	ADP
brj-23798	73	17	accuracy	accuracy	NOUN
brj-23798	73	18	might	might	AUX
brj-23798	73	19	be	be	AUX
brj-23798	73	20	mitigated	mitigate	VERB
brj-23798	73	21	)	)	PUNCT
brj-23798	73	22	by	by	ADP
brj-23798	73	23	creating	create	VERB
brj-23798	73	24	a	a	DET
brj-23798	73	25	two	two	NUM
brj-23798	73	26	-	-	PUNCT
brj-23798	73	27	level	level	NOUN
brj-23798	73	28	decision	decision	NOUN
brj-23798	73	29	tree	tree	NOUN
brj-23798	73	30	wherein	wherein	ADJ
brj-23798	73	31	images	image	NOUN
brj-23798	73	32	are	be	AUX
brj-23798	73	33	first	first	ADV
brj-23798	73	34	classified	classify	VERB
brj-23798	73	35	by	by	ADP
brj-23798	73	36	a	a	DET
brj-23798	73	37	root	root	NOUN
brj-23798	73	38	classifier	classifier	NOUN
brj-23798	73	39	into	into	ADP
brj-23798	73	40	one	one	NUM
brj-23798	73	41	of	of	ADP
brj-23798	73	42	three	three	NUM
brj-23798	73	43	porosity	porosity	NOUN
brj-23798	73	44	domain	domain	NOUN
brj-23798	73	45	classes	class	NOUN
brj-23798	73	46	(	(	PUNCT
brj-23798	73	47	diffuse-	diffuse-	X
brj-23798	73	48	,	,	PUNCT
brj-23798	73	49	ringor	ringor	ADJ
brj-23798	73	50	semi	semi	ADJ
brj-23798	73	51	-	-	ADJ
brj-23798	73	52	ring	ring	ADJ
brj-23798	73	53	-	-	PUNCT
brj-23798	73	54	porous	porous	ADJ
brj-23798	73	55	)	)	PUNCT
brj-23798	73	56	and	and	CCONJ
brj-23798	73	57	then	then	ADV
brj-23798	73	58	again	again	ADV
brj-23798	73	59	by	by	ADP
brj-23798	73	60	a	a	DET
brj-23798	73	61	first	first	ADJ
brj-23798	73	62	level	level	NOUN
brj-23798	73	63	model	model	NOUN
brj-23798	73	64	covering	cover	VERB
brj-23798	73	65	only	only	ADV
brj-23798	73	66	those	those	DET
brj-23798	73	67	woods	wood	NOUN
brj-23798	73	68	with	with	ADP
brj-23798	73	69	that	that	DET
brj-23798	73	70	porosity	porosity	NOUN
brj-23798	73	71	.	.	PUNCT
brj-23798	74	1	the	the	DET
brj-23798	74	2	results	result	NOUN
brj-23798	74	3	of	of	ADP
brj-23798	74	4	this	this	DET
brj-23798	74	5	investigation	investigation	NOUN
brj-23798	74	6	should	should	AUX
brj-23798	74	7	help	help	VERB
brj-23798	74	8	determine	determine	VERB
brj-23798	74	9	viable	viable	ADJ
brj-23798	74	10	options	option	NOUN
brj-23798	74	11	for	for	ADP
brj-23798	74	12	structuring	structure	VERB
brj-23798	74	13	future	future	ADJ
brj-23798	74	14	cvwid	cvwid	NOUN
brj-23798	74	15	models	model	NOUN
brj-23798	74	16	aimed	aim	VERB
brj-23798	74	17	at	at	ADP
brj-23798	74	18	covering	cover	VERB
brj-23798	74	19	large	large	ADJ
brj-23798	74	20	numbers	number	NOUN
brj-23798	74	21	of	of	ADP
brj-23798	74	22	classes	class	NOUN
brj-23798	74	23	using	use	VERB
brj-23798	74	24	a	a	DET
brj-23798	74	25	richer	rich	ADJ
brj-23798	74	26	set	set	NOUN
brj-23798	74	27	of	of	ADP
brj-23798	74	28	anatomical	anatomical	ADJ
brj-23798	74	29	characters	character	NOUN
brj-23798	74	30	akin	akin	ADJ
brj-23798	74	31	to	to	ADP
brj-23798	74	32	a	a	DET
brj-23798	74	33	traditional	traditional	ADJ
brj-23798	74	34	wood	wood	NOUN
brj-23798	74	35	identification	identification	NOUN
brj-23798	74	36	key	key	NOUN
brj-23798	74	37	.	.	PUNCT
brj-23798	75	1	experimental	experimental	ADJ
brj-23798	75	2	materials	material	NOUN
brj-23798	75	3	specimens	specimen	NOUN
brj-23798	75	4	and	and	CCONJ
brj-23798	75	5	images	image	VERB
brj-23798	75	6	the	the	DET
brj-23798	75	7	datasets	dataset	NOUN
brj-23798	75	8	for	for	ADP
brj-23798	75	9	this	this	DET
brj-23798	75	10	study	study	NOUN
brj-23798	75	11	comprised	comprise	VERB
brj-23798	75	12	1	1	NUM
brj-23798	75	13	)	)	PUNCT
brj-23798	75	14	the	the	DET
brj-23798	75	15	images	image	NOUN
brj-23798	75	16	of	of	ADP
brj-23798	75	17	diffuse	diffuse	NOUN
brj-23798	75	18	-	-	PUNCT
brj-23798	75	19	porous	porous	ADJ
brj-23798	75	20	specimens	specimen	NOUN
brj-23798	75	21	used	use	VERB
brj-23798	75	22	in	in	ADP
brj-23798	75	23	ravindran	ravindran	NOUN
brj-23798	75	24	et	et	PROPN
brj-23798	75	25	al	al	PROPN
brj-23798	75	26	.	.	PROPN
brj-23798	75	27	(	(	PUNCT
brj-23798	75	28	2022a	2022a	NUM
brj-23798	75	29	)	)	PUNCT
brj-23798	75	30	,	,	PUNCT
brj-23798	75	31	2	2	X
brj-23798	75	32	)	)	PUNCT
brj-23798	75	33	the	the	DET
brj-23798	75	34	images	image	NOUN
brj-23798	75	35	of	of	ADP
brj-23798	75	36	ring	ring	NOUN
brj-23798	75	37	-	-	PUNCT
brj-23798	75	38	porous	porous	ADJ
brj-23798	75	39	specimens	specimen	NOUN
brj-23798	75	40	used	use	VERB
brj-23798	75	41	in	in	ADP
brj-23798	75	42	ravindran	ravindran	NOUN
brj-23798	75	43	et	et	PROPN
brj-23798	75	44	al	al	PROPN
brj-23798	75	45	.	.	PROPN
brj-23798	76	1	(	(	PUNCT
brj-23798	76	2	2022b	2022b	NUM
brj-23798	76	3	)	)	PUNCT
brj-23798	76	4	,	,	PUNCT
brj-23798	76	5	and	and	CCONJ
brj-23798	76	6	3	3	X
brj-23798	76	7	)	)	PUNCT
brj-23798	76	8	a	a	DET
brj-23798	76	9	new	new	ADJ
brj-23798	76	10	set	set	NOUN
brj-23798	76	11	of	of	ADP
brj-23798	76	12	images	image	NOUN
brj-23798	76	13	from	from	ADP
brj-23798	76	14	specimens	specimen	NOUN
brj-23798	76	15	of	of	ADP
brj-23798	76	16	three	three	NUM
brj-23798	76	17	semi	semi	ADJ
brj-23798	76	18	-	-	ADJ
brj-23798	76	19	ring	ring	ADJ
brj-23798	76	20	-	-	PUNCT
brj-23798	76	21	porous	porous	ADJ
brj-23798	76	22	species	specie	NOUN
brj-23798	76	23	(	(	PUNCT
brj-23798	76	24	diospyros	diospyro	NOUN
brj-23798	76	25	virginiana	virginiana	PROPN
brj-23798	76	26	,	,	PUNCT
brj-23798	76	27	juglans	juglan	NOUN
brj-23798	76	28	cinerea	cinerea	NOUN
brj-23798	76	29	,	,	PUNCT
brj-23798	76	30	and	and	CCONJ
brj-23798	76	31	juglans	juglan	NOUN
brj-23798	76	32	nigra	nigra	NOUN
brj-23798	76	33	)	)	PUNCT
brj-23798	76	34	.	.	PUNCT
brj-23798	77	1	the	the	DET
brj-23798	77	2	images	image	NOUN
brj-23798	77	3	for	for	ADP
brj-23798	77	4	the	the	DET
brj-23798	77	5	training	training	NOUN
brj-23798	77	6	datasets	dataset	NOUN
brj-23798	77	7	were	be	AUX
brj-23798	77	8	captured	capture	VERB
brj-23798	77	9	from	from	ADP
brj-23798	77	10	specimens	specimen	NOUN
brj-23798	77	11	,	,	PUNCT
brj-23798	77	12	chosen	choose	VERB
brj-23798	77	13	to	to	PART
brj-23798	77	14	represent	represent	VERB
brj-23798	77	15	characteristic	characteristic	ADJ
brj-23798	77	16	wood	wood	NOUN
brj-23798	77	17	anatomical	anatomical	ADJ
brj-23798	77	18	variability	variability	NOUN
brj-23798	77	19	for	for	ADP
brj-23798	77	20	the	the	DET
brj-23798	77	21	classes	class	NOUN
brj-23798	77	22	,	,	PUNCT
brj-23798	77	23	sourced	source	VERB
brj-23798	77	24	exclusively	exclusively	ADV
brj-23798	77	25	from	from	ADP
brj-23798	77	26	a	a	PRON
brj-23798	77	27	)	)	PUNCT
brj-23798	77	28	the	the	DET
brj-23798	77	29	madw	madw	ADJ
brj-23798	77	30	and	and	CCONJ
brj-23798	77	31	sjrw	sjrw	ADJ
brj-23798	77	32	collections	collection	NOUN
brj-23798	77	33	at	at	ADP
brj-23798	77	34	peer	peer	NOUN
brj-23798	77	35	-	-	PUNCT
brj-23798	77	36	reviewed	review	VERB
brj-23798	77	37	article	article	NOUN
brj-23798	77	38	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	77	39	owens	owens	PROPN
brj-23798	77	40	et	et	PROPN
brj-23798	77	41	al	al	PROPN
brj-23798	77	42	.	.	PROPN
brj-23798	78	1	(	(	PUNCT
brj-23798	78	2	2024	2024	NUM
brj-23798	78	3	)	)	PUNCT
brj-23798	78	4	.	.	PUNCT
brj-23798	79	1	“	"	PUNCT
brj-23798	79	2	computer	computer	NOUN
brj-23798	79	3	-	-	PUNCT
brj-23798	79	4	vision	vision	NOUN
brj-23798	79	5	wood	wood	NOUN
brj-23798	79	6	id	id	NOUN
brj-23798	79	7	-	-	ADJ
brj-23798	79	8	ing	ing	ADJ
brj-23798	79	9	,	,	PUNCT
brj-23798	79	10	”	"	PUNCT
brj-23798	79	11	bioresources	bioresource	NOUN
brj-23798	79	12	19(4	19(4	NUM
brj-23798	79	13	)	)	PUNCT
brj-23798	79	14	,	,	PUNCT
brj-23798	79	15	9741	9741	NUM
brj-23798	79	16	-	-	SYM
brj-23798	79	17	9772	9772	NUM
brj-23798	79	18	.	.	PUNCT
brj-23798	80	1	9745	9745	NUM
brj-23798	80	2	the	the	DET
brj-23798	80	3	usda	usda	PROPN
brj-23798	80	4	forest	forest	NOUN
brj-23798	80	5	products	product	NOUN
brj-23798	80	6	laboratory	laboratory	NOUN
brj-23798	80	7	and	and	CCONJ
brj-23798	80	8	b	b	X
brj-23798	80	9	)	)	PUNCT
brj-23798	80	10	the	the	DET
brj-23798	80	11	tw	tw	NOUN
brj-23798	80	12	collection	collection	NOUN
brj-23798	80	13	at	at	ADP
brj-23798	80	14	the	the	DET
brj-23798	80	15	royal	royal	PROPN
brj-23798	80	16	museum	museum	PROPN
brj-23798	80	17	of	of	ADP
brj-23798	80	18	africa	africa	PROPN
brj-23798	80	19	.	.	PUNCT
brj-23798	81	1	the	the	DET
brj-23798	81	2	images	image	NOUN
brj-23798	81	3	for	for	ADP
brj-23798	81	4	the	the	DET
brj-23798	81	5	testing	testing	NOUN
brj-23798	81	6	datasets	dataset	NOUN
brj-23798	81	7	were	be	AUX
brj-23798	81	8	captured	capture	VERB
brj-23798	81	9	from	from	ADP
brj-23798	81	10	specimens	specimen	NOUN
brj-23798	81	11	sourced	source	VERB
brj-23798	81	12	exclusively	exclusively	ADV
brj-23798	81	13	from	from	ADP
brj-23798	81	14	the	the	DET
brj-23798	81	15	david	david	PROPN
brj-23798	81	16	a.	a.	PROPN
brj-23798	81	17	kribs	kribs	PROPN
brj-23798	81	18	(	(	PUNCT
brj-23798	81	19	pacw	pacw	NOUN
brj-23798	81	20	)	)	PUNCT
brj-23798	81	21	and	and	CCONJ
brj-23798	81	22	teaching	teach	VERB
brj-23798	81	23	collections	collection	NOUN
brj-23798	81	24	at	at	ADP
brj-23798	81	25	mississippi	mississippi	PROPN
brj-23798	81	26	state	state	PROPN
brj-23798	81	27	university	university	PROPN
brj-23798	81	28	.	.	PUNCT
brj-23798	82	1	specimens	specimen	NOUN
brj-23798	82	2	in	in	ADP
brj-23798	82	3	all	all	DET
brj-23798	82	4	xylaria	xylaria	NOUN
brj-23798	82	5	were	be	AUX
brj-23798	82	6	at	at	ADP
brj-23798	82	7	moisture	moisture	NOUN
brj-23798	82	8	contents	content	NOUN
brj-23798	82	9	consistent	consistent	ADJ
brj-23798	82	10	with	with	ADP
brj-23798	82	11	ambient	ambient	ADJ
brj-23798	82	12	,	,	PUNCT
brj-23798	82	13	indoor	indoor	ADJ
brj-23798	82	14	,	,	PUNCT
brj-23798	82	15	conditioned	condition	VERB
brj-23798	82	16	conditions	condition	NOUN
brj-23798	82	17	(	(	PUNCT
brj-23798	82	18	typically	typically	ADV
brj-23798	82	19	assumed	assume	VERB
brj-23798	82	20	to	to	PART
brj-23798	82	21	range	range	VERB
brj-23798	82	22	from	from	ADP
brj-23798	82	23	~5	~5	NOUN
brj-23798	82	24	%	%	NOUN
brj-23798	82	25	to	to	PART
brj-23798	82	26	9	9	NUM
brj-23798	82	27	%	%	NOUN
brj-23798	82	28	moisture	moisture	NOUN
brj-23798	82	29	content	content	NOUN
brj-23798	82	30	depending	depend	VERB
brj-23798	82	31	on	on	ADP
brj-23798	82	32	season	season	NOUN
brj-23798	82	33	and	and	CCONJ
brj-23798	82	34	location	location	NOUN
brj-23798	82	35	)	)	PUNCT
brj-23798	82	36	.	.	PUNCT
brj-23798	83	1	to	to	PART
brj-23798	83	2	prepare	prepare	VERB
brj-23798	83	3	each	each	DET
brj-23798	83	4	wood	wood	NOUN
brj-23798	83	5	specimen	speciman	NOUN
brj-23798	83	6	for	for	ADP
brj-23798	83	7	imaging	imaging	NOUN
brj-23798	83	8	,	,	PUNCT
brj-23798	83	9	the	the	DET
brj-23798	83	10	transverse	transverse	NOUN
brj-23798	83	11	surface	surface	NOUN
brj-23798	83	12	was	be	AUX
brj-23798	83	13	polished	polish	VERB
brj-23798	83	14	in	in	ADP
brj-23798	83	15	coarse	coarse	NOUN
brj-23798	83	16	-	-	PUNCT
brj-23798	83	17	to	to	ADP
brj-23798	83	18	-	-	PUNCT
brj-23798	83	19	fine	fine	ADJ
brj-23798	83	20	progression	progression	NOUN
brj-23798	83	21	on	on	ADP
brj-23798	83	22	a	a	DET
brj-23798	83	23	benchtop	benchtop	NOUN
brj-23798	83	24	disc	disc	NOUN
brj-23798	83	25	sander	sander	NOUN
brj-23798	83	26	at	at	ADP
brj-23798	83	27	grits	grit	NOUN
brj-23798	83	28	of	of	ADP
brj-23798	83	29	80	80	NUM
brj-23798	83	30	,	,	PUNCT
brj-23798	83	31	180	180	NUM
brj-23798	83	32	,	,	PUNCT
brj-23798	83	33	240	240	NUM
brj-23798	83	34	,	,	PUNCT
brj-23798	83	35	400	400	NUM
brj-23798	83	36	,	,	PUNCT
brj-23798	83	37	600	600	NUM
brj-23798	83	38	,	,	PUNCT
brj-23798	83	39	800	800	NUM
brj-23798	83	40	,	,	PUNCT
brj-23798	83	41	and	and	CCONJ
brj-23798	83	42	1500	1500	NUM
brj-23798	83	43	,	,	PUNCT
brj-23798	83	44	but	but	CCONJ
brj-23798	83	45	note	note	VERB
brj-23798	83	46	that	that	SCONJ
brj-23798	83	47	testing	testing	NOUN
brj-23798	83	48	-	-	PUNCT
brj-23798	83	49	dataset	dataset	VERB
brj-23798	83	50	images	image	NOUN
brj-23798	83	51	produced	produce	VERB
brj-23798	83	52	at	at	ADP
brj-23798	83	53	much	much	ADV
brj-23798	83	54	coarser	coarse	ADJ
brj-23798	83	55	grit	grit	NOUN
brj-23798	83	56	levels	level	NOUN
brj-23798	83	57	or	or	CCONJ
brj-23798	83	58	with	with	ADP
brj-23798	83	59	a	a	DET
brj-23798	83	60	knife	knife	NOUN
brj-23798	83	61	as	as	ADP
brj-23798	83	62	in	in	ADP
brj-23798	83	63	the	the	DET
brj-23798	83	64	field	field	NOUN
brj-23798	83	65	(	(	PUNCT
brj-23798	83	66	ravindran	ravindran	NOUN
brj-23798	83	67	et	et	PROPN
brj-23798	83	68	al	al	PROPN
brj-23798	83	69	.	.	PROPN
brj-23798	83	70	2023	2023	NUM
brj-23798	83	71	)	)	PUNCT
brj-23798	83	72	are	be	AUX
brj-23798	83	73	still	still	ADV
brj-23798	83	74	largely	largely	ADV
brj-23798	83	75	identifiable	identifiable	ADJ
brj-23798	83	76	,	,	PUNCT
brj-23798	83	77	as	as	SCONJ
brj-23798	83	78	are	be	AUX
brj-23798	83	79	digitally	digitally	ADV
brj-23798	83	80	perturbed	perturb	VERB
brj-23798	83	81	testing	test	VERB
brj-23798	83	82	dataset	dataset	NOUN
brj-23798	83	83	images	image	NOUN
brj-23798	83	84	(	(	PUNCT
brj-23798	83	85	owens	owens	PROPN
brj-23798	83	86	et	et	PROPN
brj-23798	83	87	al	al	PROPN
brj-23798	83	88	.	.	PROPN
brj-23798	83	89	2024	2024	NUM
brj-23798	83	90	)	)	PUNCT
brj-23798	83	91	for	for	ADP
brj-23798	83	92	a	a	DET
brj-23798	83	93	peruvian	peruvian	ADJ
brj-23798	83	94	woods	wood	NOUN
brj-23798	83	95	cvwid	cvwid	NOUN
brj-23798	83	96	model	model	NOUN
brj-23798	83	97	(	(	PUNCT
brj-23798	83	98	ravindran	ravindran	NOUN
brj-23798	83	99	et	et	PROPN
brj-23798	83	100	al	al	PROPN
brj-23798	83	101	.	.	PROPN
brj-23798	83	102	2021	2021	NUM
brj-23798	83	103	)	)	PUNCT
brj-23798	83	104	.	.	PUNCT
brj-23798	84	1	the	the	DET
brj-23798	84	2	polished	polished	ADJ
brj-23798	84	3	surfaces	surface	NOUN
brj-23798	84	4	were	be	AUX
brj-23798	84	5	imaged	image	VERB
brj-23798	84	6	using	use	VERB
brj-23798	84	7	the	the	DET
brj-23798	84	8	xylotron	xylotron	PROPN
brj-23798	84	9	platform	platform	NOUN
brj-23798	84	10	at	at	ADP
brj-23798	84	11	a	a	DET
brj-23798	84	12	linear	linear	ADJ
brj-23798	84	13	resolution	resolution	NOUN
brj-23798	84	14	of	of	ADP
brj-23798	84	15	~3.1	~3.1	ADJ
brj-23798	84	16	microns	micron	NOUN
brj-23798	84	17	per	per	ADP
brj-23798	84	18	pixel	pixel	NOUN
brj-23798	84	19	.	.	PUNCT
brj-23798	85	1	multiple	multiple	ADJ
brj-23798	85	2	,	,	PUNCT
brj-23798	85	3	nonoverlapping	nonoverlappe	VERB
brj-23798	85	4	2048	2048	NUM
brj-23798	85	5	×	×	NOUN
brj-23798	85	6	2048	2048	NUM
brj-23798	85	7	-	-	PUNCT
brj-23798	85	8	pixel	pixel	NOUN
brj-23798	85	9	images	image	NOUN
brj-23798	85	10	(	(	PUNCT
brj-23798	85	11	representing	represent	VERB
brj-23798	85	12	6.35mm	6.35mm	NOUN
brj-23798	85	13	-	-	PUNCT
brj-23798	85	14	by-6.35	by-6.35	NOUN
brj-23798	85	15	mm	mm	NOUN
brj-23798	85	16	of	of	ADP
brj-23798	85	17	tissue	tissue	NOUN
brj-23798	85	18	)	)	PUNCT
brj-23798	85	19	were	be	AUX
brj-23798	85	20	acquired	acquire	VERB
brj-23798	85	21	from	from	ADP
brj-23798	85	22	each	each	DET
brj-23798	85	23	specimen	speciman	NOUN
brj-23798	85	24	.	.	PUNCT
brj-23798	86	1	commonly	commonly	ADV
brj-23798	86	2	,	,	PUNCT
brj-23798	86	3	images	image	NOUN
brj-23798	86	4	are	be	AUX
brj-23798	86	5	of	of	ADP
brj-23798	86	6	heartwood	heartwood	NOUN
brj-23798	86	7	,	,	PUNCT
brj-23798	86	8	though	though	SCONJ
brj-23798	86	9	some	some	DET
brj-23798	86	10	sapwood	sapwood	NOUN
brj-23798	86	11	images	image	NOUN
brj-23798	86	12	are	be	AUX
brj-23798	86	13	doubtless	doubtless	ADV
brj-23798	86	14	present	present	ADJ
brj-23798	86	15	for	for	ADP
brj-23798	86	16	each	each	DET
brj-23798	86	17	class	class	NOUN
brj-23798	86	18	.	.	PUNCT
brj-23798	87	1	images	image	NOUN
brj-23798	87	2	with	with	ADP
brj-23798	87	3	a	a	DET
brj-23798	87	4	sapwood	sapwood	NOUN
brj-23798	87	5	-	-	PUNCT
brj-23798	87	6	heartwood	heartwood	NOUN
brj-23798	87	7	transition	transition	NOUN
brj-23798	87	8	were	be	AUX
brj-23798	87	9	culled	cull	VERB
brj-23798	87	10	.	.	PUNCT
brj-23798	88	1	label	label	NOUN
brj-23798	88	2	spaces	space	NOUN
brj-23798	88	3	descriptions	description	NOUN
brj-23798	88	4	of	of	ADP
brj-23798	88	5	the	the	DET
brj-23798	88	6	six	six	NUM
brj-23798	88	7	label	label	NOUN
brj-23798	88	8	spaces	space	NOUN
brj-23798	88	9	used	use	VERB
brj-23798	88	10	in	in	ADP
brj-23798	88	11	this	this	DET
brj-23798	88	12	study	study	NOUN
brj-23798	88	13	are	be	AUX
brj-23798	88	14	shown	show	VERB
brj-23798	88	15	in	in	ADP
brj-23798	88	16	table	table	NOUN
brj-23798	88	17	1	1	NUM
brj-23798	88	18	.	.	PUNCT
brj-23798	89	1	the	the	DET
brj-23798	89	2	first	first	ADJ
brj-23798	89	3	three	three	NUM
brj-23798	89	4	were	be	AUX
brj-23798	89	5	used	use	VERB
brj-23798	89	6	for	for	ADP
brj-23798	89	7	the	the	DET
brj-23798	89	8	“	"	PUNCT
brj-23798	89	9	domain	domain	NOUN
brj-23798	89	10	-	-	PUNCT
brj-23798	89	11	based	base	VERB
brj-23798	89	12	”	"	PUNCT
brj-23798	89	13	models	model	NOUN
brj-23798	89	14	:	:	PUNCT
brj-23798	89	15	the	the	DET
brj-23798	89	16	22	22	NUM
brj-23798	89	17	-	-	PUNCT
brj-23798	89	18	class	class	NOUN
brj-23798	89	19	label	label	NOUN
brj-23798	89	20	space	space	NOUN
brj-23798	89	21	for	for	ADP
brj-23798	89	22	the	the	DET
brj-23798	89	23	diffuse	diffuse	ADJ
brj-23798	89	24	-	-	PUNCT
brj-23798	89	25	porous	porous	ADJ
brj-23798	89	26	woods	wood	NOUN
brj-23798	89	27	from	from	ADP
brj-23798	89	28	ravindran	ravindran	NOUN
brj-23798	89	29	et	et	PROPN
brj-23798	89	30	al	al	PROPN
brj-23798	89	31	.	.	PROPN
brj-23798	89	32	(	(	PUNCT
brj-23798	89	33	2022a	2022a	NUM
brj-23798	89	34	)	)	PUNCT
brj-23798	89	35	,	,	PUNCT
brj-23798	89	36	the	the	DET
brj-23798	89	37	17	17	NUM
brj-23798	89	38	-	-	PUNCT
brj-23798	89	39	class	class	NOUN
brj-23798	89	40	label	label	NOUN
brj-23798	89	41	space	space	NOUN
brj-23798	89	42	for	for	ADP
brj-23798	89	43	the	the	DET
brj-23798	89	44	ringporous	ringporous	ADJ
brj-23798	89	45	woods	wood	NOUN
brj-23798	89	46	from	from	ADP
brj-23798	89	47	ravindran	ravindran	NOUN
brj-23798	89	48	et	et	PROPN
brj-23798	89	49	al	al	PROPN
brj-23798	89	50	.	.	PROPN
brj-23798	89	51	(	(	PUNCT
brj-23798	89	52	2022b	2022b	NUM
brj-23798	89	53	)	)	PUNCT
brj-23798	89	54	,	,	PUNCT
brj-23798	89	55	and	and	CCONJ
brj-23798	89	56	a	a	DET
brj-23798	89	57	new	new	ADJ
brj-23798	89	58	3	3	NUM
brj-23798	89	59	-	-	PUNCT
brj-23798	89	60	class	class	NOUN
brj-23798	89	61	label	label	NOUN
brj-23798	89	62	space	space	NOUN
brj-23798	89	63	for	for	ADP
brj-23798	89	64	semi	semi	ADJ
brj-23798	89	65	-	-	ADJ
brj-23798	89	66	ringporous	ringporous	ADJ
brj-23798	89	67	woods	wood	NOUN
brj-23798	89	68	.	.	PUNCT
brj-23798	90	1	table	table	NOUN
brj-23798	90	2	1	1	NUM
brj-23798	90	3	.	.	PUNCT
brj-23798	91	1	descriptions	description	NOUN
brj-23798	91	2	of	of	ADP
brj-23798	91	3	the	the	DET
brj-23798	91	4	six	six	NUM
brj-23798	91	5	label	label	NOUN
brj-23798	91	6	spaces	space	NOUN
brj-23798	91	7	used	use	VERB
brj-23798	91	8	in	in	ADP
brj-23798	91	9	this	this	DET
brj-23798	91	10	study	study	NOUN
brj-23798	91	11	label	label	NOUN
brj-23798	91	12	spaces	space	VERB
brj-23798	91	13	description	description	NOUN
brj-23798	92	1	d	d	X
brj-23798	92	2	o	o	X
brj-23798	92	3	m	m	VERB
brj-23798	92	4	a	a	PRON
brj-23798	92	5	in	in	ADP
brj-23798	92	6	b	b	NOUN
brj-23798	92	7	a	a	DET
brj-23798	92	8	s	s	X
brj-23798	92	9	e	e	NOUN
brj-23798	92	10	d	d	NOUN
brj-23798	92	11	m	m	VERB
brj-23798	92	12	o	o	X
brj-23798	92	13	d	d	X
brj-23798	92	14	e	e	X
brj-23798	92	15	ls	ls	PROPN
brj-23798	92	16	22dp	22dp	NOUN
brj-23798	92	17	the	the	DET
brj-23798	92	18	original	original	ADJ
brj-23798	92	19	22	22	NUM
brj-23798	92	20	-	-	PUNCT
brj-23798	92	21	class	class	NOUN
brj-23798	92	22	label	label	NOUN
brj-23798	92	23	space	space	NOUN
brj-23798	92	24	including	include	VERB
brj-23798	92	25	a	a	DET
brj-23798	92	26	class	class	NOUN
brj-23798	92	27	for	for	ADP
brj-23798	92	28	each	each	DET
brj-23798	92	29	diffuseporous	diffuseporous	ADJ
brj-23798	92	30	wood	wood	NOUN
brj-23798	92	31	from	from	ADP
brj-23798	92	32	ravindran	ravindran	NOUN
brj-23798	92	33	et	et	PROPN
brj-23798	92	34	al	al	PROPN
brj-23798	92	35	.	.	PROPN
brj-23798	92	36	2022a	2022a	PROPN
brj-23798	92	37	(	(	PUNCT
brj-23798	92	38	left	leave	VERB
brj-23798	92	39	column	column	NOUN
brj-23798	92	40	of	of	ADP
brj-23798	92	41	table	table	NOUN
brj-23798	92	42	2	2	NUM
brj-23798	92	43	)	)	PUNCT
brj-23798	92	44	17rp	17rp	NOUN
brj-23798	92	45	the	the	DET
brj-23798	92	46	original	original	ADJ
brj-23798	92	47	17	17	NUM
brj-23798	92	48	-	-	PUNCT
brj-23798	92	49	class	class	NOUN
brj-23798	92	50	label	label	NOUN
brj-23798	92	51	space	space	NOUN
brj-23798	92	52	including	include	VERB
brj-23798	92	53	a	a	DET
brj-23798	92	54	class	class	NOUN
brj-23798	92	55	for	for	ADP
brj-23798	92	56	each	each	DET
brj-23798	92	57	ringporous	ringporous	ADJ
brj-23798	92	58	wood	wood	NOUN
brj-23798	92	59	from	from	ADP
brj-23798	92	60	ravindran	ravindran	NOUN
brj-23798	92	61	et	et	PROPN
brj-23798	92	62	al	al	PROPN
brj-23798	92	63	.	.	PROPN
brj-23798	92	64	2022b	2022b	NUM
brj-23798	92	65	(	(	PUNCT
brj-23798	92	66	center	center	NOUN
brj-23798	92	67	column	column	NOUN
brj-23798	92	68	of	of	ADP
brj-23798	92	69	table	table	NOUN
brj-23798	92	70	2	2	NUM
brj-23798	92	71	)	)	PUNCT
brj-23798	92	72	3srp	3srp	NOUN
brj-23798	92	73	a	a	DET
brj-23798	92	74	new	new	ADJ
brj-23798	92	75	3	3	NUM
brj-23798	92	76	-	-	PUNCT
brj-23798	92	77	class	class	NOUN
brj-23798	92	78	label	label	NOUN
brj-23798	92	79	space	space	NOUN
brj-23798	92	80	including	include	VERB
brj-23798	92	81	a	a	DET
brj-23798	92	82	class	class	NOUN
brj-23798	92	83	for	for	ADP
brj-23798	92	84	each	each	DET
brj-23798	92	85	semi	semi	ADJ
brj-23798	92	86	-	-	ADJ
brj-23798	92	87	ring	ring	ADJ
brj-23798	92	88	-	-	PUNCT
brj-23798	92	89	porous	porous	ADJ
brj-23798	92	90	wood	wood	NOUN
brj-23798	92	91	from	from	ADP
brj-23798	92	92	the	the	DET
brj-23798	92	93	current	current	ADJ
brj-23798	92	94	study	study	NOUN
brj-23798	92	95	(	(	PUNCT
brj-23798	92	96	right	right	ADJ
brj-23798	92	97	column	column	NOUN
brj-23798	92	98	of	of	ADP
brj-23798	92	99	table	table	NOUN
brj-23798	92	100	2	2	NUM
brj-23798	92	101	)	)	PUNCT
brj-23798	93	1	c	c	NOUN
brj-23798	93	2	o	o	NOUN
brj-23798	93	3	n	n	X
brj-23798	93	4	s	s	X
brj-23798	93	5	o	o	NOUN
brj-23798	93	6	lid	lid	NOUN
brj-23798	93	7	a	a	PRON
brj-23798	94	1	te	te	INTJ
brj-23798	94	2	d	d	NOUN
brj-23798	94	3	m	m	NOUN
brj-23798	94	4	o	o	NOUN
brj-23798	94	5	d	d	X
brj-23798	94	6	e	e	X
brj-23798	94	7	ls	ls	ADJ
brj-23798	94	8	39dp	39dp	NOUN
brj-23798	94	9	-	-	PUNCT
brj-23798	94	10	rp	rp	ADP
brj-23798	94	11	a	a	DET
brj-23798	94	12	new	new	ADJ
brj-23798	94	13	39	39	NUM
brj-23798	94	14	-	-	PUNCT
brj-23798	94	15	class	class	NOUN
brj-23798	94	16	label	label	NOUN
brj-23798	94	17	space	space	NOUN
brj-23798	94	18	including	include	VERB
brj-23798	94	19	the	the	DET
brj-23798	94	20	22	22	NUM
brj-23798	94	21	diffuse	diffuse	NOUN
brj-23798	94	22	-	-	PUNCT
brj-23798	94	23	porous	porous	ADJ
brj-23798	94	24	classes	class	NOUN
brj-23798	94	25	from	from	ADP
brj-23798	94	26	ravindran	ravindran	PROPN
brj-23798	94	27	et	et	PROPN
brj-23798	94	28	al	al	PROPN
brj-23798	94	29	.	.	PROPN
brj-23798	94	30	2022a	2022a	PROPN
brj-23798	94	31	plus	plus	CCONJ
brj-23798	94	32	the	the	DET
brj-23798	94	33	17	17	NUM
brj-23798	94	34	ring	ring	NOUN
brj-23798	94	35	-	-	PUNCT
brj-23798	94	36	porous	porous	ADJ
brj-23798	94	37	classes	class	NOUN
brj-23798	94	38	from	from	ADP
brj-23798	94	39	ravindran	ravindran	PROPN
brj-23798	94	40	et	et	PROPN
brj-23798	94	41	al	al	PROPN
brj-23798	94	42	.	.	PROPN
brj-23798	94	43	2022b	2022b	NUM
brj-23798	94	44	(	(	PUNCT
brj-23798	94	45	left	left	ADJ
brj-23798	94	46	and	and	CCONJ
brj-23798	94	47	center	center	ADJ
brj-23798	94	48	columns	column	NOUN
brj-23798	94	49	of	of	ADP
brj-23798	94	50	table	table	NOUN
brj-23798	94	51	2	2	NUM
brj-23798	94	52	)	)	PUNCT
brj-23798	94	53	42dp	42dp	NOUN
brj-23798	94	54	-	-	PUNCT
brj-23798	94	55	rpsrp	rpsrp	VERB
brj-23798	94	56	a	a	DET
brj-23798	94	57	new	new	ADJ
brj-23798	94	58	42	42	NUM
brj-23798	94	59	-	-	PUNCT
brj-23798	94	60	class	class	NOUN
brj-23798	94	61	label	label	NOUN
brj-23798	94	62	space	space	NOUN
brj-23798	94	63	including	include	VERB
brj-23798	94	64	the	the	DET
brj-23798	94	65	22	22	NUM
brj-23798	94	66	diffuse	diffuse	NOUN
brj-23798	94	67	-	-	PUNCT
brj-23798	94	68	porous	porous	ADJ
brj-23798	94	69	classes	class	NOUN
brj-23798	94	70	from	from	ADP
brj-23798	94	71	ravindran	ravindran	PROPN
brj-23798	94	72	et	et	PROPN
brj-23798	94	73	al	al	PROPN
brj-23798	94	74	.	.	PROPN
brj-23798	94	75	2022a	2022a	NUM
brj-23798	94	76	,	,	PUNCT
brj-23798	94	77	the	the	DET
brj-23798	94	78	17	17	NUM
brj-23798	94	79	ring	ring	NOUN
brj-23798	94	80	-	-	PUNCT
brj-23798	94	81	porous	porous	ADJ
brj-23798	94	82	classes	class	NOUN
brj-23798	94	83	from	from	ADP
brj-23798	94	84	ravindran	ravindran	PROPN
brj-23798	94	85	et	et	PROPN
brj-23798	94	86	al	al	PROPN
brj-23798	94	87	.	.	PROPN
brj-23798	94	88	2022b	2022b	NUM
brj-23798	94	89	,	,	PUNCT
brj-23798	94	90	and	and	CCONJ
brj-23798	94	91	the	the	DET
brj-23798	94	92	3	3	NUM
brj-23798	94	93	semi	semi	ADJ
brj-23798	94	94	-	-	ADJ
brj-23798	94	95	ring	ring	ADJ
brj-23798	94	96	classes	class	NOUN
brj-23798	94	97	from	from	ADP
brj-23798	94	98	the	the	DET
brj-23798	94	99	current	current	ADJ
brj-23798	94	100	study	study	NOUN
brj-23798	94	101	(	(	PUNCT
brj-23798	94	102	all	all	DET
brj-23798	94	103	three	three	NUM
brj-23798	94	104	columns	column	NOUN
brj-23798	94	105	of	of	ADP
brj-23798	94	106	table	table	NOUN
brj-23798	94	107	2	2	NUM
brj-23798	94	108	)	)	PUNCT
brj-23798	95	1	p	p	NOUN
brj-23798	95	2	o	o	X
brj-23798	96	1	ro	ro	X
brj-23798	97	1	s	s	VERB
brj-23798	97	2	it	it	PRON
brj-23798	97	3	y	y	NOUN
brj-23798	97	4	m	m	VERB
brj-23798	97	5	o	o	NOUN
brj-23798	98	1	d	d	X
brj-23798	98	2	e	e	X
brj-23798	98	3	l	l	NOUN
brj-23798	98	4	3por	3por	PROPN
brj-23798	98	5	a	a	DET
brj-23798	98	6	new	new	ADJ
brj-23798	98	7	3	3	NUM
brj-23798	98	8	-	-	PUNCT
brj-23798	98	9	class	class	NOUN
brj-23798	98	10	label	label	NOUN
brj-23798	98	11	space	space	NOUN
brj-23798	98	12	representing	represent	VERB
brj-23798	98	13	the	the	DET
brj-23798	98	14	3	3	NUM
brj-23798	98	15	porosity	porosity	NOUN
brj-23798	98	16	domains	domain	NOUN
brj-23798	98	17	:	:	PUNCT
brj-23798	98	18	1	1	NUM
brj-23798	98	19	)	)	PUNCT
brj-23798	98	20	an	an	DET
brj-23798	98	21	aggregate	aggregate	ADJ
brj-23798	98	22	diffuse	diffuse	NOUN
brj-23798	98	23	-	-	PUNCT
brj-23798	98	24	porous	porous	ADJ
brj-23798	98	25	class	class	NOUN
brj-23798	98	26	including	include	VERB
brj-23798	98	27	all	all	DET
brj-23798	98	28	the	the	DET
brj-23798	98	29	woods	wood	NOUN
brj-23798	98	30	with	with	ADP
brj-23798	98	31	diffuseporous	diffuseporous	ADJ
brj-23798	98	32	structure	structure	NOUN
brj-23798	98	33	(	(	PUNCT
brj-23798	98	34	entire	entire	ADJ
brj-23798	98	35	left	left	ADJ
brj-23798	98	36	column	column	NOUN
brj-23798	98	37	of	of	ADP
brj-23798	98	38	table	table	NOUN
brj-23798	98	39	2	2	NUM
brj-23798	98	40	)	)	PUNCT
brj-23798	98	41	,	,	PUNCT
brj-23798	98	42	2	2	X
brj-23798	98	43	)	)	PUNCT
brj-23798	98	44	an	an	DET
brj-23798	98	45	aggregate	aggregate	ADJ
brj-23798	98	46	ringporous	ringporous	ADJ
brj-23798	98	47	class	class	NOUN
brj-23798	98	48	including	include	VERB
brj-23798	98	49	all	all	DET
brj-23798	98	50	the	the	DET
brj-23798	98	51	woods	wood	NOUN
brj-23798	98	52	with	with	ADP
brj-23798	98	53	a	a	DET
brj-23798	98	54	ring	ring	NOUN
brj-23798	98	55	-	-	PUNCT
brj-23798	98	56	porous	porous	ADJ
brj-23798	98	57	structure	structure	NOUN
brj-23798	98	58	(	(	PUNCT
brj-23798	98	59	entire	entire	ADJ
brj-23798	98	60	center	center	NOUN
brj-23798	98	61	column	column	NOUN
brj-23798	98	62	of	of	ADP
brj-23798	98	63	table	table	NOUN
brj-23798	98	64	2	2	NUM
brj-23798	98	65	)	)	PUNCT
brj-23798	98	66	,	,	PUNCT
brj-23798	98	67	and	and	CCONJ
brj-23798	98	68	3	3	X
brj-23798	98	69	)	)	PUNCT
brj-23798	98	70	an	an	DET
brj-23798	98	71	aggregate	aggregate	ADJ
brj-23798	98	72	semi	semi	ADJ
brj-23798	98	73	-	-	ADJ
brj-23798	98	74	ringporous	ringporous	ADJ
brj-23798	98	75	class	class	NOUN
brj-23798	98	76	including	include	VERB
brj-23798	98	77	all	all	DET
brj-23798	98	78	the	the	DET
brj-23798	98	79	woods	wood	NOUN
brj-23798	98	80	with	with	ADP
brj-23798	98	81	a	a	DET
brj-23798	98	82	semi	semi	ADJ
brj-23798	98	83	-	-	ADJ
brj-23798	98	84	ring	ring	ADJ
brj-23798	98	85	-	-	PUNCT
brj-23798	98	86	porous	porous	ADJ
brj-23798	98	87	structure	structure	NOUN
brj-23798	98	88	(	(	PUNCT
brj-23798	98	89	entire	entire	ADJ
brj-23798	98	90	right	right	ADJ
brj-23798	98	91	column	column	NOUN
brj-23798	98	92	of	of	ADP
brj-23798	98	93	table	table	NOUN
brj-23798	98	94	2	2	NUM
brj-23798	98	95	)	)	PUNCT
brj-23798	98	96	peer	peer	NOUN
brj-23798	98	97	-	-	PUNCT
brj-23798	98	98	reviewed	review	VERB
brj-23798	98	99	article	article	NOUN
brj-23798	98	100	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	98	101	owens	owens	PROPN
brj-23798	98	102	et	et	PROPN
brj-23798	98	103	al	al	PROPN
brj-23798	98	104	.	.	PROPN
brj-23798	99	1	(	(	PUNCT
brj-23798	99	2	2024	2024	NUM
brj-23798	99	3	)	)	PUNCT
brj-23798	99	4	.	.	PUNCT
brj-23798	100	1	“	"	PUNCT
brj-23798	100	2	computer	computer	NOUN
brj-23798	100	3	-	-	PUNCT
brj-23798	100	4	vision	vision	NOUN
brj-23798	100	5	wood	wood	NOUN
brj-23798	100	6	id	id	NOUN
brj-23798	100	7	-	-	ADJ
brj-23798	100	8	ing	ing	ADJ
brj-23798	100	9	,	,	PUNCT
brj-23798	100	10	”	"	PUNCT
brj-23798	100	11	bioresources	bioresource	NOUN
brj-23798	100	12	19(4	19(4	NUM
brj-23798	100	13	)	)	PUNCT
brj-23798	100	14	,	,	PUNCT
brj-23798	100	15	9741	9741	NUM
brj-23798	100	16	-	-	SYM
brj-23798	100	17	9772	9772	NUM
brj-23798	100	18	.	.	PUNCT
brj-23798	100	19	9746	9746	NUM
brj-23798	100	20	the	the	DET
brj-23798	100	21	classes	class	NOUN
brj-23798	100	22	comprising	comprise	VERB
brj-23798	100	23	these	these	DET
brj-23798	100	24	three	three	NUM
brj-23798	100	25	label	label	NOUN
brj-23798	100	26	spaces	space	NOUN
brj-23798	100	27	are	be	AUX
brj-23798	100	28	detailed	detail	VERB
brj-23798	100	29	in	in	ADP
brj-23798	100	30	table	table	NOUN
brj-23798	100	31	2	2	NUM
brj-23798	100	32	.	.	PUNCT
brj-23798	101	1	the	the	DET
brj-23798	101	2	next	next	ADJ
brj-23798	101	3	two	two	NUM
brj-23798	101	4	label	label	NOUN
brj-23798	101	5	spaces	space	NOUN
brj-23798	101	6	are	be	AUX
brj-23798	101	7	used	use	VERB
brj-23798	101	8	for	for	ADP
brj-23798	101	9	the	the	DET
brj-23798	101	10	“	"	PUNCT
brj-23798	101	11	consolidated	consolidated	ADJ
brj-23798	101	12	”	"	PUNCT
brj-23798	101	13	models	model	NOUN
brj-23798	101	14	:	:	PUNCT
brj-23798	101	15	a	a	DET
brj-23798	101	16	39	39	NUM
brj-23798	101	17	-	-	PUNCT
brj-23798	101	18	class	class	NOUN
brj-23798	101	19	label	label	NOUN
brj-23798	101	20	space	space	NOUN
brj-23798	101	21	(	(	PUNCT
brj-23798	101	22	39dp	39dp	NOUN
brj-23798	101	23	-	-	PUNCT
brj-23798	101	24	rp	rp	NOUN
brj-23798	101	25	)	)	PUNCT
brj-23798	101	26	comprising	comprise	VERB
brj-23798	101	27	all	all	DET
brj-23798	101	28	the	the	DET
brj-23798	101	29	classes	class	NOUN
brj-23798	101	30	from	from	ADP
brj-23798	101	31	22dp	22dp	NOUN
brj-23798	101	32	and	and	CCONJ
brj-23798	101	33	17rp	17rp	ADJ
brj-23798	101	34	,	,	PUNCT
brj-23798	101	35	and	and	CCONJ
brj-23798	101	36	a	a	DET
brj-23798	101	37	42	42	NUM
brj-23798	101	38	-	-	PUNCT
brj-23798	101	39	class	class	NOUN
brj-23798	101	40	label	label	NOUN
brj-23798	101	41	space	space	NOUN
brj-23798	101	42	(	(	PUNCT
brj-23798	101	43	42	42	NUM
brj-23798	101	44	-	-	PUNCT
brj-23798	101	45	dp	dp	NOUN
brj-23798	101	46	-	-	PUNCT
brj-23798	101	47	rpsrp	rpsrp	NOUN
brj-23798	101	48	)	)	PUNCT
brj-23798	101	49	comprising	comprise	VERB
brj-23798	101	50	all	all	DET
brj-23798	101	51	the	the	DET
brj-23798	101	52	classes	class	NOUN
brj-23798	101	53	from	from	ADP
brj-23798	101	54	22dp	22dp	NUM
brj-23798	101	55	,	,	PUNCT
brj-23798	101	56	17rp	17rp	ADJ
brj-23798	101	57	and	and	CCONJ
brj-23798	101	58	3srp	3srp	NOUN
brj-23798	101	59	.	.	PUNCT
brj-23798	102	1	the	the	DET
brj-23798	102	2	final	final	ADJ
brj-23798	102	3	3	3	NUM
brj-23798	102	4	-	-	PUNCT
brj-23798	102	5	class	class	NOUN
brj-23798	102	6	label	label	NOUN
brj-23798	102	7	space	space	NOUN
brj-23798	102	8	models	model	NOUN
brj-23798	102	9	the	the	DET
brj-23798	102	10	three	three	NUM
brj-23798	102	11	porosity	porosity	NOUN
brj-23798	102	12	domains	domain	NOUN
brj-23798	102	13	:	:	PUNCT
brj-23798	102	14	an	an	DET
brj-23798	102	15	aggregate	aggregate	ADJ
brj-23798	102	16	diffuse	diffuse	NOUN
brj-23798	102	17	-	-	PUNCT
brj-23798	102	18	porous	porous	ADJ
brj-23798	102	19	(	(	PUNCT
brj-23798	102	20	dp	dp	NOUN
brj-23798	102	21	)	)	PUNCT
brj-23798	102	22	class	class	NOUN
brj-23798	102	23	including	include	VERB
brj-23798	102	24	all	all	DET
brj-23798	102	25	the	the	DET
brj-23798	102	26	woods	wood	NOUN
brj-23798	102	27	with	with	ADP
brj-23798	102	28	diffuse	diffuse	NOUN
brj-23798	102	29	-	-	PUNCT
brj-23798	102	30	porous	porous	ADJ
brj-23798	102	31	structure	structure	NOUN
brj-23798	102	32	(	(	PUNCT
brj-23798	102	33	entire	entire	ADJ
brj-23798	102	34	left	left	ADJ
brj-23798	102	35	column	column	NOUN
brj-23798	102	36	of	of	ADP
brj-23798	102	37	table	table	NOUN
brj-23798	102	38	2	2	NUM
brj-23798	102	39	)	)	PUNCT
brj-23798	102	40	;	;	PUNCT
brj-23798	102	41	an	an	DET
brj-23798	102	42	aggregate	aggregate	ADJ
brj-23798	102	43	ringporous	ringporous	ADJ
brj-23798	102	44	(	(	PUNCT
brj-23798	102	45	rp	rp	NOUN
brj-23798	102	46	)	)	PUNCT
brj-23798	102	47	class	class	NOUN
brj-23798	102	48	including	include	VERB
brj-23798	102	49	all	all	DET
brj-23798	102	50	the	the	DET
brj-23798	102	51	woods	wood	NOUN
brj-23798	102	52	with	with	ADP
brj-23798	102	53	a	a	DET
brj-23798	102	54	ring	ring	NOUN
brj-23798	102	55	-	-	PUNCT
brj-23798	102	56	porous	porous	ADJ
brj-23798	102	57	structure	structure	NOUN
brj-23798	102	58	(	(	PUNCT
brj-23798	102	59	entire	entire	ADJ
brj-23798	102	60	center	center	NOUN
brj-23798	102	61	column	column	NOUN
brj-23798	102	62	of	of	ADP
brj-23798	102	63	table	table	NOUN
brj-23798	102	64	2	2	NUM
brj-23798	102	65	)	)	PUNCT
brj-23798	102	66	;	;	PUNCT
brj-23798	102	67	and	and	CCONJ
brj-23798	102	68	an	an	DET
brj-23798	102	69	aggregate	aggregate	ADJ
brj-23798	102	70	semi	semi	ADJ
brj-23798	102	71	-	-	ADJ
brj-23798	102	72	ring	ring	ADJ
brj-23798	102	73	-	-	PUNCT
brj-23798	102	74	porous	porous	ADJ
brj-23798	102	75	(	(	PUNCT
brj-23798	102	76	srp	srp	NOUN
brj-23798	102	77	)	)	PUNCT
brj-23798	102	78	class	class	NOUN
brj-23798	102	79	including	include	VERB
brj-23798	102	80	all	all	DET
brj-23798	102	81	the	the	DET
brj-23798	102	82	woods	wood	NOUN
brj-23798	102	83	with	with	ADP
brj-23798	102	84	a	a	DET
brj-23798	102	85	semi	semi	ADJ
brj-23798	102	86	-	-	ADJ
brj-23798	102	87	ring	ring	ADJ
brj-23798	102	88	-	-	PUNCT
brj-23798	102	89	porous	porous	ADJ
brj-23798	102	90	structure	structure	NOUN
brj-23798	102	91	(	(	PUNCT
brj-23798	102	92	entire	entire	ADJ
brj-23798	102	93	right	right	ADJ
brj-23798	102	94	column	column	NOUN
brj-23798	102	95	of	of	ADP
brj-23798	102	96	table	table	NOUN
brj-23798	102	97	2	2	NUM
brj-23798	102	98	)	)	PUNCT
brj-23798	102	99	.	.	PUNCT
brj-23798	103	1	details	detail	NOUN
brj-23798	103	2	of	of	ADP
brj-23798	103	3	label	label	NOUN
brj-23798	103	4	,	,	PUNCT
brj-23798	103	5	specimen	speciman	NOUN
brj-23798	103	6	,	,	PUNCT
brj-23798	103	7	image	image	NOUN
brj-23798	103	8	,	,	PUNCT
brj-23798	103	9	and	and	CCONJ
brj-23798	103	10	taxa	taxa	NOUN
brj-23798	103	11	counts	count	NOUN
brj-23798	103	12	are	be	AUX
brj-23798	103	13	shown	show	VERB
brj-23798	103	14	in	in	ADP
brj-23798	103	15	tables	table	NOUN
brj-23798	103	16	3	3	NUM
brj-23798	103	17	and	and	CCONJ
brj-23798	103	18	4	4	NUM
brj-23798	103	19	by	by	ADP
brj-23798	103	20	label	label	NOUN
brj-23798	103	21	space	space	NOUN
brj-23798	103	22	.	.	PUNCT
brj-23798	104	1	when	when	SCONJ
brj-23798	104	2	referring	refer	VERB
brj-23798	104	3	to	to	ADP
brj-23798	104	4	a	a	DET
brj-23798	104	5	cvwid	cvwid	NOUN
brj-23798	104	6	class	class	NOUN
brj-23798	104	7	,	,	PUNCT
brj-23798	104	8	class	class	NOUN
brj-23798	104	9	names	name	NOUN
brj-23798	104	10	are	be	AUX
brj-23798	104	11	written	write	VERB
brj-23798	104	12	without	without	ADP
brj-23798	104	13	italics	italic	NOUN
brj-23798	104	14	,	,	PUNCT
brj-23798	104	15	while	while	SCONJ
brj-23798	104	16	italicization	italicization	NOUN
brj-23798	104	17	is	be	AUX
brj-23798	104	18	used	use	VERB
brj-23798	104	19	when	when	SCONJ
brj-23798	104	20	referring	refer	VERB
brj-23798	104	21	to	to	ADP
brj-23798	104	22	the	the	DET
brj-23798	104	23	same	same	ADJ
brj-23798	104	24	woods	wood	NOUN
brj-23798	104	25	as	as	ADP
brj-23798	104	26	botanical	botanical	ADJ
brj-23798	104	27	entities	entity	NOUN
brj-23798	104	28	(	(	PUNCT
brj-23798	104	29	e.g.	e.g.	ADV
brj-23798	104	30	,	,	PUNCT
brj-23798	104	31	the	the	DET
brj-23798	104	32	class	class	NOUN
brj-23798	104	33	diospyros	diospyro	NOUN
brj-23798	104	34	vs.	vs.	ADP
brj-23798	104	35	the	the	DET
brj-23798	104	36	genus	genus	NOUN
brj-23798	104	37	diospyros	diospyro	NOUN
brj-23798	104	38	)	)	PUNCT
brj-23798	104	39	.	.	PUNCT
brj-23798	105	1	finer	fine	ADJ
brj-23798	105	2	details	detail	NOUN
brj-23798	105	3	of	of	ADP
brj-23798	105	4	the	the	DET
brj-23798	105	5	taxa	taxa	NOUN
brj-23798	105	6	included	include	VERB
brj-23798	105	7	in	in	ADP
brj-23798	105	8	the	the	DET
brj-23798	105	9	training	training	NOUN
brj-23798	105	10	and	and	CCONJ
brj-23798	105	11	testing	testing	NOUN
brj-23798	105	12	datasets	dataset	NOUN
brj-23798	105	13	for	for	ADP
brj-23798	105	14	39dp	39dp	NOUN
brj-23798	105	15	-	-	PUNCT
brj-23798	105	16	rp	rp	NOUN
brj-23798	105	17	and	and	CCONJ
brj-23798	105	18	42dp	42dp	NOUN
brj-23798	105	19	-	-	PUNCT
brj-23798	105	20	rp	rp	NOUN
brj-23798	105	21	-	-	PUNCT
brj-23798	105	22	srp	srp	NOUN
brj-23798	105	23	are	be	AUX
brj-23798	105	24	provided	provide	VERB
brj-23798	105	25	in	in	ADP
brj-23798	105	26	tables	table	NOUN
brj-23798	105	27	s1	s1	NOUN
brj-23798	105	28	,	,	PUNCT
brj-23798	105	29	s2	s2	NOUN
brj-23798	105	30	in	in	ADP
brj-23798	105	31	the	the	DET
brj-23798	105	32	appendix	appendix	NOUN
brj-23798	105	33	.	.	PUNCT
brj-23798	106	1	table	table	NOUN
brj-23798	106	2	2	2	NUM
brj-23798	106	3	.	.	PUNCT
brj-23798	106	4	porosity	porosity	NOUN
brj-23798	106	5	domain	domain	NOUN
brj-23798	106	6	membership	membership	NOUN
brj-23798	106	7	of	of	ADP
brj-23798	106	8	woods	wood	NOUN
brj-23798	106	9	used	use	VERB
brj-23798	106	10	in	in	ADP
brj-23798	106	11	training	training	NOUN
brj-23798	106	12	and	and	CCONJ
brj-23798	106	13	testing	test	VERB
brj-23798	106	14	diffuse	diffuse	NOUN
brj-23798	106	15	-	-	PUNCT
brj-23798	106	16	porous	porous	ADJ
brj-23798	106	17	(	(	PUNCT
brj-23798	106	18	dp	dp	NOUN
brj-23798	106	19	)	)	PUNCT
brj-23798	106	20	(	(	PUNCT
brj-23798	106	21	ravindran	ravindran	NOUN
brj-23798	106	22	et	et	PROPN
brj-23798	106	23	al	al	PROPN
brj-23798	106	24	.	.	PROPN
brj-23798	106	25	2022a	2022a	NUM
brj-23798	106	26	)	)	PUNCT
brj-23798	106	27	ring	ring	NOUN
brj-23798	106	28	-	-	PUNCT
brj-23798	106	29	porous	porous	ADJ
brj-23798	106	30	(	(	PUNCT
brj-23798	106	31	rp	rp	NOUN
brj-23798	106	32	)	)	PUNCT
brj-23798	106	33	(	(	PUNCT
brj-23798	106	34	ravindran	ravindran	NOUN
brj-23798	106	35	et	et	PROPN
brj-23798	106	36	al	al	PROPN
brj-23798	106	37	.	.	PROPN
brj-23798	106	38	2022b	2022b	NUM
brj-23798	106	39	)	)	PUNCT
brj-23798	106	40	semi	semi	ADJ
brj-23798	106	41	-	-	ADJ
brj-23798	106	42	ring	ring	ADJ
brj-23798	106	43	-	-	PUNCT
brj-23798	106	44	porous	porous	ADJ
brj-23798	106	45	(	(	PUNCT
brj-23798	106	46	srp	srp	PROPN
brj-23798	106	47	)	)	PUNCT
brj-23798	106	48	acerh	acerh	NOUN
brj-23798	106	49	(	(	PUNCT
brj-23798	106	50	hard	hard	ADJ
brj-23798	106	51	maples	maple	NOUN
brj-23798	106	52	)	)	PUNCT
brj-23798	106	53	acers	acer	NOUN
brj-23798	106	54	(	(	PUNCT
brj-23798	106	55	soft	soft	ADJ
brj-23798	106	56	maples	maple	NOUN
brj-23798	106	57	)	)	PUNCT
brj-23798	106	58	aesculus	aesculus	ADJ
brj-23798	106	59	alnus	alnus	PROPN
brj-23798	106	60	arbutus	arbutus	PROPN
brj-23798	106	61	betula	betula	PROPN
brj-23798	106	62	carpinus	carpinus	PROPN
brj-23798	106	63	fagus	fagus	PROPN
brj-23798	106	64	frangula	frangula	VERB
brj-23798	106	65	fruitwood	fruitwood	ADJ
brj-23798	106	66	(	(	PUNCT
brj-23798	106	67	comprising	comprise	VERB
brj-23798	106	68	:)	:)	INTJ
brj-23798	106	69	•	•	ADJ
brj-23798	106	70	crataegus	crataegus	PROPN
brj-23798	106	71	spp	spp	PROPN
brj-23798	106	72	.	.	PROPN
brj-23798	106	73	•	•	NUM
brj-23798	106	74	malus	malus	PROPN
brj-23798	106	75	spp	spp	NOUN
brj-23798	106	76	.	.	PROPN
brj-23798	106	77	•	•	NUM
brj-23798	106	78	prunus	prunus	PROPN
brj-23798	106	79	spp	spp	NOUN
brj-23798	106	80	.	.	PUNCT
brj-23798	107	1	(	(	PUNCT
brj-23798	107	2	except	except	SCONJ
brj-23798	107	3	p.	p.	PROPN
brj-23798	107	4	serotina	serotina	PROPN
brj-23798	107	5	)	)	PUNCT
brj-23798	107	6	•	•	NUM
brj-23798	107	7	pyrus	pyrus	PROPN
brj-23798	107	8	spp	spp	PROPN
brj-23798	107	9	.	.	PROPN
brj-23798	107	10	•	•	NUM
brj-23798	107	11	sorbus	sorbus	PROPN
brj-23798	107	12	spp	spp	PROPN
brj-23798	107	13	.	.	PUNCT
brj-23798	108	1	liquidambar	liquidambar	PROPN
brj-23798	108	2	liriodendron	liriodendron	PROPN
brj-23798	108	3	magnolia	magnolia	PROPN
brj-23798	108	4	nyssa	nyssa	PROPN
brj-23798	108	5	ostrya	ostrya	PROPN
brj-23798	108	6	oxydendrum	oxydendrum	PROPN
brj-23798	108	7	platanus	platanus	ADJ
brj-23798	108	8	populus	populus	ADJ
brj-23798	108	9	prunus	prunus	NOUN
brj-23798	108	10	(	(	PUNCT
brj-23798	108	11	p.	p.	NOUN
brj-23798	108	12	serotina	serotina	NOUN
brj-23798	108	13	only	only	ADV
brj-23798	108	14	)	)	PUNCT
brj-23798	108	15	rhamnus	rhamnus	VERB
brj-23798	108	16	salix	salix	NOUN
brj-23798	108	17	tilia	tilia	PROPN
brj-23798	108	18	asimina	asimina	PROPN
brj-23798	108	19	carya	carya	PROPN
brj-23798	108	20	castanea	castanea	PROPN
brj-23798	108	21	catalpa	catalpa	PROPN
brj-23798	108	22	celtis	celtis	PROPN
brj-23798	108	23	cladrastis	cladrastis	PROPN
brj-23798	108	24	fraxinus	fraxinus	PROPN
brj-23798	108	25	gleditsia	gleditsia	PROPN
brj-23798	108	26	gymnocladus	gymnocladus	PROPN
brj-23798	108	27	maclura	maclura	PROPN
brj-23798	108	28	morus	morus	PROPN
brj-23798	108	29	quercusr	quercusr	PROPN
brj-23798	108	30	(	(	PUNCT
brj-23798	108	31	red	red	ADJ
brj-23798	108	32	oaks	oaks	PROPN
brj-23798	108	33	)	)	PUNCT
brj-23798	108	34	quercusw	quercusw	PROPN
brj-23798	108	35	(	(	PUNCT
brj-23798	108	36	white	white	PROPN
brj-23798	108	37	oaks	oaks	PROPN
brj-23798	108	38	)	)	PUNCT
brj-23798	108	39	robinia	robinia	NOUN
brj-23798	108	40	sassafras	sassafras	NOUN
brj-23798	108	41	ulmush	ulmush	NOUN
brj-23798	108	42	(	(	PUNCT
brj-23798	108	43	hard	hard	ADJ
brj-23798	108	44	elms	elm	NOUN
brj-23798	108	45	)	)	PUNCT
brj-23798	108	46	ulmuss	ulmuss	ADJ
brj-23798	108	47	(	(	PUNCT
brj-23798	108	48	soft	soft	ADJ
brj-23798	108	49	elms	elm	NOUN
brj-23798	108	50	)	)	PUNCT
brj-23798	108	51	diospyros	diospyro	VERB
brj-23798	108	52	juglansc	juglansc	NOUN
brj-23798	108	53	(	(	PUNCT
brj-23798	108	54	j.	j.	PROPN
brj-23798	108	55	cinerea	cinerea	PROPN
brj-23798	108	56	)	)	PUNCT
brj-23798	108	57	juglansn	juglansn	PROPN
brj-23798	108	58	(	(	PUNCT
brj-23798	108	59	j.	j.	PROPN
brj-23798	108	60	nigra	nigra	PROPN
brj-23798	108	61	)	)	PUNCT
brj-23798	108	62	peer	peer	NOUN
brj-23798	108	63	-	-	PUNCT
brj-23798	108	64	reviewed	review	VERB
brj-23798	108	65	article	article	NOUN
brj-23798	108	66	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	108	67	owens	owens	PROPN
brj-23798	108	68	et	et	PROPN
brj-23798	108	69	al	al	PROPN
brj-23798	108	70	.	.	PROPN
brj-23798	109	1	(	(	PUNCT
brj-23798	109	2	2024	2024	NUM
brj-23798	109	3	)	)	PUNCT
brj-23798	109	4	.	.	PUNCT
brj-23798	110	1	“	"	PUNCT
brj-23798	110	2	computer	computer	NOUN
brj-23798	110	3	-	-	PUNCT
brj-23798	110	4	vision	vision	NOUN
brj-23798	110	5	wood	wood	NOUN
brj-23798	110	6	id	id	NOUN
brj-23798	110	7	-	-	ADJ
brj-23798	110	8	ing	ing	ADJ
brj-23798	110	9	,	,	PUNCT
brj-23798	110	10	”	"	PUNCT
brj-23798	110	11	bioresources	bioresource	NOUN
brj-23798	110	12	19(4	19(4	NUM
brj-23798	110	13	)	)	PUNCT
brj-23798	110	14	,	,	PUNCT
brj-23798	110	15	9741	9741	NUM
brj-23798	110	16	-	-	SYM
brj-23798	110	17	9772	9772	NUM
brj-23798	110	18	.	.	PUNCT
brj-23798	111	1	9747	9747	NUM
brj-23798	111	2	table	table	NOUN
brj-23798	111	3	3	3	NUM
brj-23798	111	4	.	.	PUNCT
brj-23798	111	5	training	train	VERB
brj-23798	111	6	dataset	dataset	NOUN
brj-23798	111	7	details	detail	NOUN
brj-23798	111	8	by	by	ADP
brj-23798	111	9	label	label	NOUN
brj-23798	111	10	space	space	NOUN
brj-23798	111	11	detail	detail	NOUN
brj-23798	111	12	22dp	22dp	NOUN
brj-23798	111	13	(	(	PUNCT
brj-23798	111	14	counts	count	NOUN
brj-23798	111	15	)	)	PUNCT
brj-23798	111	16	17rp	17rp	ADJ
brj-23798	111	17	(	(	PUNCT
brj-23798	111	18	counts	count	NOUN
brj-23798	111	19	)	)	PUNCT
brj-23798	111	20	3srp	3srp	NOUN
brj-23798	111	21	(	(	PUNCT
brj-23798	111	22	counts	count	NOUN
brj-23798	111	23	)	)	PUNCT
brj-23798	111	24	39dp	39dp	NOUN
brj-23798	111	25	-	-	PUNCT
brj-23798	111	26	rp	rp	ADJ
brj-23798	111	27	(	(	PUNCT
brj-23798	111	28	counts	count	NOUN
brj-23798	111	29	)	)	PUNCT
brj-23798	111	30	42dp	42dp	ADJ
brj-23798	111	31	-	-	PUNCT
brj-23798	111	32	rp	rp	NOUN
brj-23798	111	33	-	-	PUNCT
brj-23798	111	34	srp	srp	NOUN
brj-23798	111	35	(	(	PUNCT
brj-23798	111	36	counts	count	NOUN
brj-23798	111	37	)	)	PUNCT
brj-23798	111	38	3por	3por	NUM
brj-23798	111	39	(	(	PUNCT
brj-23798	111	40	counts	count	NOUN
brj-23798	111	41	)	)	PUNCT
brj-23798	111	42	images	image	NOUN
brj-23798	111	43	5184	5184	NUM
brj-23798	111	44	4045	4045	NUM
brj-23798	111	45	734	734	NUM
brj-23798	111	46	9229	9229	NUM
brj-23798	111	47	9963	9963	NUM
brj-23798	111	48	2716	2716	NUM
brj-23798	111	49	specimens	specimen	NOUN
brj-23798	111	50	504	504	NUM
brj-23798	111	51	452	452	NUM
brj-23798	111	52	54	54	NUM
brj-23798	111	53	956	956	NUM
brj-23798	111	54	1010	1010	NUM
brj-23798	111	55	1001	1001	NUM
brj-23798	111	56	taxa	taxa	NOUN
brj-23798	111	57	98	98	NUM
brj-23798	111	58	64	64	NUM
brj-23798	111	59	3	3	NUM
brj-23798	111	60	162	162	NUM
brj-23798	111	61	165	165	NUM
brj-23798	111	62	163	163	NUM
brj-23798	111	63	classes	class	NOUN
brj-23798	111	64	22	22	NUM
brj-23798	111	65	17	17	NUM
brj-23798	111	66	3	3	NUM
brj-23798	111	67	39	39	NUM
brj-23798	111	68	42	42	NUM
brj-23798	111	69	3	3	NUM
brj-23798	111	70	these	these	DET
brj-23798	111	71	wood	wood	NOUN
brj-23798	111	72	specimens	specimen	NOUN
brj-23798	111	73	were	be	AUX
brj-23798	111	74	sourced	source	VERB
brj-23798	111	75	from	from	ADP
brj-23798	111	76	the	the	DET
brj-23798	111	77	usda	usda	PROPN
brj-23798	111	78	forest	forest	NOUN
brj-23798	111	79	products	product	NOUN
brj-23798	111	80	laboratory	laboratory	NOUN
brj-23798	111	81	’s	’s	PART
brj-23798	111	82	madw	madw	ADJ
brj-23798	111	83	and	and	CCONJ
brj-23798	111	84	sjrw	sjrw	ADJ
brj-23798	111	85	collections	collection	NOUN
brj-23798	111	86	and	and	CCONJ
brj-23798	111	87	the	the	DET
brj-23798	111	88	royal	royal	PROPN
brj-23798	111	89	museum	museum	PROPN
brj-23798	111	90	of	of	ADP
brj-23798	111	91	africa	africa	PROPN
brj-23798	111	92	’s	’s	PART
brj-23798	111	93	tw	tw	PROPN
brj-23798	111	94	collection	collection	NOUN
brj-23798	111	95	.	.	PUNCT
brj-23798	112	1	images	image	NOUN
brj-23798	112	2	of	of	ADP
brj-23798	112	3	the	the	DET
brj-23798	112	4	specimens	specimen	NOUN
brj-23798	112	5	from	from	ADP
brj-23798	112	6	these	these	DET
brj-23798	112	7	xylaria	xylaria	NOUN
brj-23798	112	8	were	be	AUX
brj-23798	112	9	used	use	VERB
brj-23798	112	10	only	only	ADV
brj-23798	112	11	for	for	ADP
brj-23798	112	12	training	training	NOUN
brj-23798	112	13	and	and	CCONJ
brj-23798	112	14	not	not	PART
brj-23798	112	15	for	for	ADP
brj-23798	112	16	testing	testing	NOUN
brj-23798	112	17	.	.	PUNCT
brj-23798	113	1	table	table	NOUN
brj-23798	113	2	4	4	NUM
brj-23798	113	3	.	.	PUNCT
brj-23798	113	4	test	test	NOUN
brj-23798	113	5	dataset	dataset	VERB
brj-23798	113	6	details	detail	NOUN
brj-23798	113	7	by	by	ADP
brj-23798	113	8	label	label	NOUN
brj-23798	113	9	space	space	NOUN
brj-23798	113	10	detail	detail	NOUN
brj-23798	113	11	22dp	22dp	NOUN
brj-23798	113	12	(	(	PUNCT
brj-23798	113	13	counts	count	NOUN
brj-23798	113	14	)	)	PUNCT
brj-23798	113	15	17rp	17rp	ADJ
brj-23798	113	16	(	(	PUNCT
brj-23798	113	17	counts	count	NOUN
brj-23798	113	18	)	)	PUNCT
brj-23798	113	19	3srp	3srp	NOUN
brj-23798	113	20	(	(	PUNCT
brj-23798	113	21	counts	count	NOUN
brj-23798	113	22	)	)	PUNCT
brj-23798	113	23	39dp	39dp	NOUN
brj-23798	113	24	-	-	PUNCT
brj-23798	113	25	rp	rp	ADJ
brj-23798	113	26	(	(	PUNCT
brj-23798	113	27	counts	count	NOUN
brj-23798	113	28	)	)	PUNCT
brj-23798	113	29	42dp	42dp	ADJ
brj-23798	113	30	-	-	PUNCT
brj-23798	113	31	rp	rp	NOUN
brj-23798	113	32	-	-	PUNCT
brj-23798	113	33	srp	srp	NOUN
brj-23798	113	34	(	(	PUNCT
brj-23798	113	35	counts	count	NOUN
brj-23798	113	36	)	)	PUNCT
brj-23798	113	37	3por	3por	NUM
brj-23798	113	38	(	(	PUNCT
brj-23798	113	39	counts	count	NOUN
brj-23798	113	40	)	)	PUNCT
brj-23798	113	41	images	image	NOUN
brj-23798	113	42	1209	1209	NUM
brj-23798	113	43	936	936	NUM
brj-23798	113	44	131	131	NUM
brj-23798	113	45	2145	2145	NUM
brj-23798	113	46	2276	2276	NUM
brj-23798	113	47	2276	2276	NUM
brj-23798	113	48	specimens	specimen	NOUN
brj-23798	113	49	284	284	NUM
brj-23798	113	50	198	198	NUM
brj-23798	113	51	28	28	NUM
brj-23798	113	52	482	482	NUM
brj-23798	113	53	510	510	NUM
brj-23798	113	54	510	510	NUM
brj-23798	113	55	taxa	taxa	NOUN
brj-23798	113	56	69	69	NUM
brj-23798	113	57	40	40	NUM
brj-23798	113	58	3	3	NUM
brj-23798	113	59	109	109	NUM
brj-23798	113	60	112	112	NUM
brj-23798	113	61	112	112	NUM
brj-23798	113	62	classes	class	NOUN
brj-23798	113	63	22	22	NUM
brj-23798	113	64	17	17	NUM
brj-23798	113	65	3	3	NUM
brj-23798	113	66	39	39	NUM
brj-23798	113	67	42	42	NUM
brj-23798	113	68	3	3	NUM
brj-23798	113	69	these	these	DET
brj-23798	113	70	wood	wood	NOUN
brj-23798	113	71	specimens	specimen	NOUN
brj-23798	113	72	were	be	AUX
brj-23798	113	73	sourced	source	VERB
brj-23798	113	74	from	from	ADP
brj-23798	113	75	mississippi	mississippi	PROPN
brj-23798	113	76	state	state	PROPN
brj-23798	113	77	university	university	PROPN
brj-23798	113	78	’s	’s	PART
brj-23798	113	79	pacw	pacw	NOUN
brj-23798	113	80	and	and	CCONJ
brj-23798	113	81	teaching	teaching	NOUN
brj-23798	113	82	collections	collection	NOUN
brj-23798	113	83	.	.	PUNCT
brj-23798	114	1	images	image	NOUN
brj-23798	114	2	of	of	ADP
brj-23798	114	3	the	the	DET
brj-23798	114	4	specimens	specimen	NOUN
brj-23798	114	5	from	from	ADP
brj-23798	114	6	these	these	DET
brj-23798	114	7	xylaria	xylaria	NOUN
brj-23798	114	8	were	be	AUX
brj-23798	114	9	used	use	VERB
brj-23798	114	10	only	only	ADV
brj-23798	114	11	for	for	ADP
brj-23798	114	12	testing	testing	NOUN
brj-23798	114	13	and	and	CCONJ
brj-23798	114	14	not	not	PART
brj-23798	114	15	for	for	ADP
brj-23798	114	16	training	training	NOUN
brj-23798	114	17	.	.	PUNCT
brj-23798	115	1	methods	method	NOUN
brj-23798	115	2	machine	machine	NOUN
brj-23798	115	3	learning	learning	NOUN
brj-23798	115	4	models	model	NOUN
brj-23798	115	5	cnns	cnns	PROPN
brj-23798	115	6	(	(	PUNCT
brj-23798	115	7	lecun	lecun	PROPN
brj-23798	115	8	et	et	PROPN
brj-23798	115	9	al	al	PROPN
brj-23798	115	10	.	.	PROPN
brj-23798	115	11	1989	1989	NUM
brj-23798	115	12	)	)	PUNCT
brj-23798	115	13	with	with	ADP
brj-23798	115	14	imagenet	imagenet	NOUN
brj-23798	115	15	(	(	PUNCT
brj-23798	115	16	russakovsky	russakovsky	PROPN
brj-23798	115	17	et	et	PROPN
brj-23798	115	18	al	al	PROPN
brj-23798	115	19	.	.	PROPN
brj-23798	115	20	2015	2015	NUM
brj-23798	115	21	)	)	PUNCT
brj-23798	115	22	pretrained	pretraine	VERB
brj-23798	115	23	resnet34	resnet34	NOUN
brj-23798	115	24	(	(	PUNCT
brj-23798	115	25	he	he	PRON
brj-23798	115	26	et	et	PROPN
brj-23798	115	27	al	al	PROPN
brj-23798	115	28	.	.	PROPN
brj-23798	115	29	2015	2015	NUM
brj-23798	115	30	)	)	PUNCT
brj-23798	115	31	backbones	backbone	NOUN
brj-23798	115	32	and	and	CCONJ
brj-23798	115	33	custom	custom	NOUN
brj-23798	115	34	classification	classification	NOUN
brj-23798	115	35	heads	head	NOUN
brj-23798	115	36	were	be	AUX
brj-23798	115	37	trained	train	VERB
brj-23798	115	38	for	for	ADP
brj-23798	115	39	each	each	PRON
brj-23798	115	40	of	of	ADP
brj-23798	115	41	the	the	DET
brj-23798	115	42	six	six	NUM
brj-23798	115	43	label	label	NOUN
brj-23798	115	44	spaces	space	NOUN
brj-23798	115	45	.	.	PUNCT
brj-23798	116	1	a	a	DET
brj-23798	116	2	two	two	NUM
brj-23798	116	3	-	-	PUNCT
brj-23798	116	4	stage	stage	NOUN
brj-23798	116	5	transfer	transfer	NOUN
brj-23798	116	6	learning	learn	VERB
brj-23798	116	7	strategy	strategy	NOUN
brj-23798	116	8	(	(	PUNCT
brj-23798	116	9	freezing	freeze	VERB
brj-23798	116	10	the	the	DET
brj-23798	116	11	backbone	backbone	NOUN
brj-23798	116	12	and	and	CCONJ
brj-23798	116	13	training	training	NOUN
brj-23798	116	14	only	only	ADV
brj-23798	116	15	the	the	DET
brj-23798	116	16	randomly	randomly	ADV
brj-23798	116	17	initialized	initialize	VERB
brj-23798	116	18	custom	custom	NOUN
brj-23798	116	19	head	head	NOUN
brj-23798	116	20	followed	follow	VERB
brj-23798	116	21	by	by	ADP
brj-23798	116	22	full	full	ADJ
brj-23798	116	23	network	network	NOUN
brj-23798	116	24	fine	fine	ADV
brj-23798	116	25	-	-	PUNCT
brj-23798	116	26	tuning	tuning	NOUN
brj-23798	116	27	)	)	PUNCT
brj-23798	116	28	was	be	AUX
brj-23798	116	29	employed	employ	VERB
brj-23798	116	30	to	to	PART
brj-23798	116	31	train	train	VERB
brj-23798	116	32	the	the	DET
brj-23798	116	33	models	model	NOUN
brj-23798	116	34	along	along	ADP
brj-23798	116	35	with	with	ADP
brj-23798	116	36	a	a	DET
brj-23798	116	37	data	data	NOUN
brj-23798	116	38	augmentation	augmentation	NOUN
brj-23798	116	39	strategy	strategy	NOUN
brj-23798	116	40	that	that	PRON
brj-23798	116	41	included	include	VERB
brj-23798	116	42	horizontal	horizontal	ADJ
brj-23798	116	43	/	/	SYM
brj-23798	116	44	vertical	vertical	ADJ
brj-23798	116	45	flips	flip	NOUN
brj-23798	116	46	,	,	PUNCT
brj-23798	116	47	small	small	ADJ
brj-23798	116	48	rotations	rotation	NOUN
brj-23798	116	49	,	,	PUNCT
brj-23798	116	50	and	and	CCONJ
brj-23798	116	51	cutout	cutout	NOUN
brj-23798	116	52	(	(	PUNCT
brj-23798	116	53	devries	devries	PROPN
brj-23798	116	54	and	and	CCONJ
brj-23798	116	55	taylor	taylor	PROPN
brj-23798	116	56	2017	2017	NUM
brj-23798	116	57	)	)	PUNCT
brj-23798	116	58	.	.	PUNCT
brj-23798	117	1	for	for	ADP
brj-23798	117	2	both	both	CCONJ
brj-23798	117	3	the	the	DET
brj-23798	117	4	training	training	NOUN
brj-23798	117	5	stages	stage	NOUN
brj-23798	117	6	,	,	PUNCT
brj-23798	117	7	random	random	ADJ
brj-23798	117	8	patches	patch	NOUN
brj-23798	117	9	of	of	ADP
brj-23798	117	10	2048	2048	NUM
brj-23798	117	11	×	×	NOUN
brj-23798	117	12	768	768	NUM
brj-23798	117	13	pixels	pixel	NOUN
brj-23798	117	14	were	be	AUX
brj-23798	117	15	downsampled	downsample	VERB
brj-23798	117	16	to	to	ADP
brj-23798	117	17	512	512	NUM
brj-23798	117	18	×	×	NOUN
brj-23798	117	19	192	192	NUM
brj-23798	117	20	pixels	pixel	NOUN
brj-23798	117	21	and	and	CCONJ
brj-23798	117	22	fed	feed	VERB
brj-23798	117	23	into	into	ADP
brj-23798	117	24	the	the	DET
brj-23798	117	25	network	network	NOUN
brj-23798	117	26	in	in	ADP
brj-23798	117	27	mini	mini	ADJ
brj-23798	117	28	batches	batch	NOUN
brj-23798	117	29	of	of	ADP
brj-23798	117	30	size	size	NOUN
brj-23798	117	31	16	16	NUM
brj-23798	117	32	.	.	PUNCT
brj-23798	118	1	the	the	DET
brj-23798	118	2	adam	adam	PROPN
brj-23798	118	3	optimizer	optimizer	NOUN
brj-23798	118	4	(	(	PUNCT
brj-23798	118	5	kingma	kingma	PROPN
brj-23798	118	6	and	and	CCONJ
brj-23798	118	7	ba	ba	PROPN
brj-23798	118	8	2015	2015	NUM
brj-23798	118	9	)	)	PUNCT
brj-23798	118	10	with	with	ADP
brj-23798	118	11	cosine	cosine	NOUN
brj-23798	118	12	annealing	annealing	NOUN
brj-23798	118	13	(	(	PUNCT
brj-23798	118	14	smith	smith	PROPN
brj-23798	118	15	2018	2018	NUM
brj-23798	118	16	)	)	PUNCT
brj-23798	118	17	of	of	ADP
brj-23798	118	18	the	the	DET
brj-23798	118	19	learning	learning	NOUN
brj-23798	118	20	rate	rate	NOUN
brj-23798	118	21	and	and	CCONJ
brj-23798	118	22	momentum	momentum	NOUN
brj-23798	118	23	was	be	AUX
brj-23798	118	24	used	use	VERB
brj-23798	118	25	for	for	ADP
brj-23798	118	26	updating	update	VERB
brj-23798	118	27	the	the	DET
brj-23798	118	28	model	model	NOUN
brj-23798	118	29	weights	weight	NOUN
brj-23798	118	30	during	during	ADP
brj-23798	118	31	the	the	DET
brj-23798	118	32	training	training	NOUN
brj-23798	118	33	process	process	NOUN
brj-23798	118	34	.	.	PUNCT
brj-23798	119	1	further	further	ADJ
brj-23798	119	2	details	detail	NOUN
brj-23798	119	3	about	about	ADP
brj-23798	119	4	the	the	DET
brj-23798	119	5	architecture	architecture	NOUN
brj-23798	119	6	and	and	CCONJ
brj-23798	119	7	the	the	DET
brj-23798	119	8	two	two	NUM
brj-23798	119	9	-	-	PUNCT
brj-23798	119	10	stage	stage	NOUN
brj-23798	119	11	(	(	PUNCT
brj-23798	119	12	howard	howard	PROPN
brj-23798	119	13	and	and	CCONJ
brj-23798	119	14	gugger	gugger	PROPN
brj-23798	119	15	2020	2020	NUM
brj-23798	119	16	)	)	PUNCT
brj-23798	119	17	transfer	transfer	NOUN
brj-23798	119	18	learning	learning	NOUN
brj-23798	119	19	(	(	PUNCT
brj-23798	119	20	pan	pan	NOUN
brj-23798	119	21	and	and	CCONJ
brj-23798	119	22	yang	yang	PROPN
brj-23798	119	23	2010	2010	NUM
brj-23798	119	24	)	)	PUNCT
brj-23798	119	25	training	training	NOUN
brj-23798	119	26	methodology	methodology	NOUN
brj-23798	119	27	can	can	AUX
brj-23798	119	28	be	be	AUX
brj-23798	119	29	found	find	VERB
brj-23798	119	30	in	in	ADP
brj-23798	119	31	ravindran	ravindran	NOUN
brj-23798	119	32	et	et	PROPN
brj-23798	119	33	al	al	PROPN
brj-23798	119	34	.	.	PROPN
brj-23798	120	1	(	(	PUNCT
brj-23798	120	2	2019	2019	NUM
brj-23798	120	3	)	)	PUNCT
brj-23798	120	4	and	and	CCONJ
brj-23798	120	5	arévalo	arévalo	PROPN
brj-23798	120	6	et	et	PROPN
brj-23798	120	7	al	al	PROPN
brj-23798	120	8	.	.	PROPN
brj-23798	121	1	(	(	PUNCT
brj-23798	121	2	2021	2021	NUM
brj-23798	121	3	)	)	PUNCT
brj-23798	121	4	.	.	PUNCT
brj-23798	122	1	scientific	scientific	ADJ
brj-23798	122	2	python	python	NOUN
brj-23798	122	3	tools	tool	NOUN
brj-23798	122	4	(	(	PUNCT
brj-23798	122	5	pedregosa	pedregosa	NOUN
brj-23798	122	6	et	et	PROPN
brj-23798	122	7	al	al	PROPN
brj-23798	122	8	.	.	PROPN
brj-23798	122	9	2011	2011	NUM
brj-23798	122	10	)	)	PUNCT
brj-23798	122	11	and	and	CCONJ
brj-23798	122	12	the	the	DET
brj-23798	122	13	pytorch	pytorch	NOUN
brj-23798	122	14	deep	deep	ADJ
brj-23798	122	15	learning	learning	NOUN
brj-23798	122	16	framework	framework	NOUN
brj-23798	122	17	(	(	PUNCT
brj-23798	122	18	paszke	paszke	NOUN
brj-23798	122	19	et	et	NOUN
brj-23798	122	20	al	al	PROPN
brj-23798	122	21	.	.	PROPN
brj-23798	122	22	2019	2019	NUM
brj-23798	122	23	)	)	PUNCT
brj-23798	122	24	were	be	AUX
brj-23798	122	25	used	use	VERB
brj-23798	122	26	for	for	ADP
brj-23798	122	27	model	model	NOUN
brj-23798	122	28	definition	definition	NOUN
brj-23798	122	29	,	,	PUNCT
brj-23798	122	30	training	training	NOUN
brj-23798	122	31	,	,	PUNCT
brj-23798	122	32	and	and	CCONJ
brj-23798	122	33	evaluation	evaluation	NOUN
brj-23798	122	34	.	.	PUNCT
brj-23798	123	1	the	the	DET
brj-23798	123	2	predictive	predictive	ADJ
brj-23798	123	3	performance	performance	NOUN
brj-23798	123	4	of	of	ADP
brj-23798	123	5	the	the	DET
brj-23798	123	6	trained	train	VERB
brj-23798	123	7	field	field	NOUN
brj-23798	123	8	models	model	NOUN
brj-23798	123	9	(	(	PUNCT
brj-23798	123	10	the	the	DET
brj-23798	123	11	trained	train	VERB
brj-23798	123	12	models	model	NOUN
brj-23798	123	13	obtained	obtain	VERB
brj-23798	123	14	by	by	ADP
brj-23798	123	15	using	use	VERB
brj-23798	123	16	the	the	DET
brj-23798	123	17	entire	entire	ADJ
brj-23798	123	18	training	training	NOUN
brj-23798	123	19	data	datum	NOUN
brj-23798	123	20	)	)	PUNCT
brj-23798	123	21	was	be	AUX
brj-23798	123	22	evaluated	evaluate	VERB
brj-23798	123	23	using	use	VERB
brj-23798	123	24	the	the	DET
brj-23798	123	25	top-1	top-1	PUNCT
brj-23798	123	26	and	and	CCONJ
brj-23798	123	27	top-2	top-2	NOUN
brj-23798	123	28	specimen	speciman	NOUN
brj-23798	123	29	level	level	NOUN
brj-23798	123	30	accuracies	accuracy	NOUN
brj-23798	123	31	on	on	ADP
brj-23798	123	32	the	the	DET
brj-23798	123	33	mutually	mutually	ADV
brj-23798	123	34	exclusive	exclusive	ADJ
brj-23798	123	35	(	(	PUNCT
brj-23798	123	36	from	from	ADP
brj-23798	123	37	completely	completely	ADV
brj-23798	123	38	different	different	ADJ
brj-23798	123	39	collections	collection	NOUN
brj-23798	123	40	)	)	PUNCT
brj-23798	123	41	testing	testing	NOUN
brj-23798	123	42	dataset	dataset	NOUN
brj-23798	123	43	.	.	PUNCT
brj-23798	124	1	the	the	DET
brj-23798	124	2	majority	majority	NOUN
brj-23798	124	3	of	of	ADP
brj-23798	124	4	the	the	DET
brj-23798	124	5	class	class	NOUN
brj-23798	124	6	predictions	prediction	NOUN
brj-23798	124	7	for	for	ADP
brj-23798	124	8	the	the	DET
brj-23798	124	9	(	(	PUNCT
brj-23798	124	10	up	up	ADP
brj-23798	124	11	to	to	PART
brj-23798	124	12	5	5	NUM
brj-23798	124	13	)	)	PUNCT
brj-23798	124	14	images	image	NOUN
brj-23798	124	15	contributed	contribute	VERB
brj-23798	124	16	by	by	ADP
brj-23798	124	17	a	a	DET
brj-23798	124	18	specimen	speciman	NOUN
brj-23798	124	19	was	be	AUX
brj-23798	124	20	taken	take	VERB
brj-23798	124	21	as	as	ADP
brj-23798	124	22	the	the	DET
brj-23798	124	23	top-1	top-1	PUNCT
brj-23798	124	24	specimen	speciman	NOUN
brj-23798	124	25	level	level	NOUN
brj-23798	124	26	prediction	prediction	NOUN
brj-23798	124	27	.	.	PUNCT
brj-23798	125	1	for	for	ADP
brj-23798	125	2	top-2	top-2	NOUN
brj-23798	125	3	accuracy	accuracy	NOUN
brj-23798	125	4	analysis	analysis	NOUN
brj-23798	125	5	,	,	PUNCT
brj-23798	125	6	if	if	SCONJ
brj-23798	125	7	the	the	DET
brj-23798	125	8	true	true	ADJ
brj-23798	125	9	class	class	NOUN
brj-23798	125	10	of	of	ADP
brj-23798	125	11	a	a	DET
brj-23798	125	12	specimen	speciman	NOUN
brj-23798	125	13	was	be	AUX
brj-23798	125	14	one	one	NUM
brj-23798	125	15	of	of	ADP
brj-23798	125	16	the	the	DET
brj-23798	125	17	top-2	top-2	PUNCT
brj-23798	125	18	predicted	predict	VERB
brj-23798	125	19	classes	class	NOUN
brj-23798	125	20	in	in	ADP
brj-23798	125	21	an	an	DET
brj-23798	125	22	equally	equally	ADV
brj-23798	125	23	weighted	weight	VERB
brj-23798	125	24	voting	voting	NOUN
brj-23798	125	25	of	of	ADP
brj-23798	125	26	(	(	PUNCT
brj-23798	125	27	up	up	ADP
brj-23798	125	28	to	to	PART
brj-23798	125	29	5	5	NUM
brj-23798	125	30	)	)	PUNCT
brj-23798	125	31	image	image	NOUN
brj-23798	125	32	-	-	PUNCT
brj-23798	125	33	level	level	NOUN
brj-23798	125	34	top-2	top-2	NOUN
brj-23798	125	35	predictions	prediction	NOUN
brj-23798	125	36	,	,	PUNCT
brj-23798	125	37	then	then	ADV
brj-23798	125	38	the	the	DET
brj-23798	125	39	specimen	speciman	NOUN
brj-23798	125	40	was	be	AUX
brj-23798	125	41	considered	consider	VERB
brj-23798	125	42	to	to	PART
brj-23798	125	43	be	be	AUX
brj-23798	125	44	correctly	correctly	ADV
brj-23798	125	45	classified	classified	ADJ
brj-23798	125	46	.	.	PUNCT
brj-23798	126	1	the	the	DET
brj-23798	126	2	field	field	NOUN
brj-23798	126	3	model	model	NOUN
brj-23798	126	4	performance	performance	NOUN
brj-23798	126	5	was	be	AUX
brj-23798	126	6	evaluated	evaluate	VERB
brj-23798	126	7	using	use	VERB
brj-23798	126	8	the	the	DET
brj-23798	126	9	proxy	proxy	ADJ
brj-23798	126	10	field	field	NOUN
brj-23798	126	11	testing	testing	NOUN
brj-23798	126	12	approach	approach	NOUN
brj-23798	126	13	(	(	PUNCT
brj-23798	126	14	in	in	ADP
brj-23798	126	15	which	which	PRON
brj-23798	126	16	specimens	specimen	NOUN
brj-23798	126	17	for	for	ADP
brj-23798	126	18	training	training	NOUN
brj-23798	126	19	and	and	CCONJ
brj-23798	126	20	testing	testing	NOUN
brj-23798	126	21	were	be	AUX
brj-23798	126	22	obtained	obtain	VERB
brj-23798	126	23	from	from	ADP
brj-23798	126	24	different	different	ADJ
brj-23798	126	25	xylaria	xylaria	NOUN
brj-23798	126	26	)	)	PUNCT
brj-23798	126	27	introduced	introduce	VERB
brj-23798	126	28	in	in	ADP
brj-23798	126	29	ravindran	ravindran	NOUN
brj-23798	126	30	et	et	PROPN
brj-23798	126	31	al	al	PROPN
brj-23798	126	32	.	.	PROPN
brj-23798	127	1	(	(	PUNCT
brj-23798	127	2	2021	2021	NUM
brj-23798	127	3	)	)	PUNCT
brj-23798	127	4	.	.	PUNCT
brj-23798	128	1	the	the	DET
brj-23798	128	2	importance	importance	NOUN
brj-23798	128	3	of	of	ADP
brj-23798	128	4	mutually	mutually	ADV
brj-23798	128	5	exclusive	exclusive	ADJ
brj-23798	128	6	training	training	NOUN
brj-23798	128	7	and	and	CCONJ
brj-23798	128	8	evaluation	evaluation	NOUN
brj-23798	128	9	datasets	dataset	NOUN
brj-23798	128	10	is	be	AUX
brj-23798	128	11	elaborated	elaborate	VERB
brj-23798	128	12	in	in	ADP
brj-23798	128	13	ravindran	ravindran	NOUN
brj-23798	128	14	and	and	CCONJ
brj-23798	128	15	wiedenhoeft	wiedenhoeft	NOUN
brj-23798	128	16	(	(	PUNCT
brj-23798	128	17	2022	2022	NUM
brj-23798	128	18	)	)	PUNCT
brj-23798	128	19	.	.	PUNCT
brj-23798	129	1	peer	peer	NOUN
brj-23798	129	2	-	-	PUNCT
brj-23798	129	3	reviewed	review	VERB
brj-23798	129	4	article	article	NOUN
brj-23798	129	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	129	6	owens	owens	PROPN
brj-23798	129	7	et	et	PROPN
brj-23798	129	8	al	al	PROPN
brj-23798	129	9	.	.	PROPN
brj-23798	130	1	(	(	PUNCT
brj-23798	130	2	2024	2024	NUM
brj-23798	130	3	)	)	PUNCT
brj-23798	130	4	.	.	PUNCT
brj-23798	131	1	“	"	PUNCT
brj-23798	131	2	computer	computer	NOUN
brj-23798	131	3	-	-	PUNCT
brj-23798	131	4	vision	vision	NOUN
brj-23798	131	5	wood	wood	NOUN
brj-23798	131	6	id	id	NOUN
brj-23798	131	7	-	-	ADJ
brj-23798	131	8	ing	ing	ADJ
brj-23798	131	9	,	,	PUNCT
brj-23798	131	10	”	"	PUNCT
brj-23798	131	11	bioresources	bioresource	NOUN
brj-23798	131	12	19(4	19(4	NUM
brj-23798	131	13	)	)	PUNCT
brj-23798	131	14	,	,	PUNCT
brj-23798	131	15	9741	9741	NUM
brj-23798	131	16	-	-	SYM
brj-23798	131	17	9772	9772	NUM
brj-23798	131	18	.	.	PUNCT
brj-23798	131	19	9748	9748	NUM
brj-23798	131	20	models	model	NOUN
brj-23798	131	21	with	with	ADP
brj-23798	131	22	a	a	DET
brj-23798	131	23	resnet50	resnet50	NOUN
brj-23798	131	24	backbone	backbone	NOUN
brj-23798	131	25	were	be	AUX
brj-23798	131	26	also	also	ADV
brj-23798	131	27	trained	train	VERB
brj-23798	131	28	and	and	CCONJ
brj-23798	131	29	evaluated	evaluate	VERB
brj-23798	131	30	,	,	PUNCT
brj-23798	131	31	and	and	CCONJ
brj-23798	131	32	these	these	DET
brj-23798	131	33	results	result	NOUN
brj-23798	131	34	are	be	AUX
brj-23798	131	35	presented	present	VERB
brj-23798	131	36	in	in	ADP
brj-23798	131	37	table	table	NOUN
brj-23798	131	38	s3	s3	PROPN
brj-23798	131	39	and	and	CCONJ
brj-23798	131	40	figs	fig	NOUN
brj-23798	131	41	.	.	PUNCT
brj-23798	132	1	s1	s1	NOUN
brj-23798	132	2	,	,	PUNCT
brj-23798	132	3	s2	s2	NOUN
brj-23798	132	4	in	in	ADP
brj-23798	132	5	the	the	DET
brj-23798	132	6	appendix	appendix	NOUN
brj-23798	132	7	.	.	PUNCT
brj-23798	133	1	additionally	additionally	ADV
brj-23798	133	2	,	,	PUNCT
brj-23798	133	3	results	result	NOUN
brj-23798	133	4	of	of	ADP
brj-23798	133	5	five	five	NUM
brj-23798	133	6	-	-	ADJ
brj-23798	133	7	fold	fold	ADJ
brj-23798	133	8	cross	cross	ADJ
brj-23798	133	9	-	-	ADJ
brj-23798	133	10	validation	validation	ADJ
brj-23798	133	11	analyses	analysis	NOUN
brj-23798	133	12	(	(	PUNCT
brj-23798	133	13	i.e.	i.e.	X
brj-23798	133	14	internal	internal	ADJ
brj-23798	133	15	validation	validation	NOUN
brj-23798	133	16	)	)	PUNCT
brj-23798	133	17	for	for	ADP
brj-23798	133	18	both	both	PRON
brj-23798	133	19	resnet34	resnet34	NOUN
brj-23798	133	20	and	and	CCONJ
brj-23798	133	21	resnet50	resnet50	NOUN
brj-23798	133	22	based	base	VERB
brj-23798	133	23	model	model	NOUN
brj-23798	133	24	architectures	architecture	NOUN
brj-23798	133	25	are	be	AUX
brj-23798	133	26	presented	present	VERB
brj-23798	133	27	in	in	ADP
brj-23798	133	28	table	table	NOUN
brj-23798	133	29	s4	s4	NOUN
brj-23798	133	30	and	and	CCONJ
brj-23798	133	31	figs	fig	NOUN
brj-23798	133	32	.	.	PUNCT
brj-23798	134	1	s3	s3	PROPN
brj-23798	134	2	–	–	PUNCT
brj-23798	134	3	s6	s6	PROPN
brj-23798	134	4	in	in	ADP
brj-23798	134	5	the	the	DET
brj-23798	134	6	appendix	appendix	NOUN
brj-23798	134	7	.	.	PUNCT
brj-23798	135	1	the	the	DET
brj-23798	135	2	field	field	NOUN
brj-23798	135	3	models	model	NOUN
brj-23798	135	4	were	be	AUX
brj-23798	135	5	evaluated	evaluate	VERB
brj-23798	135	6	in	in	ADP
brj-23798	135	7	the	the	DET
brj-23798	135	8	following	follow	VERB
brj-23798	135	9	manner	manner	NOUN
brj-23798	135	10	under	under	ADP
brj-23798	135	11	the	the	DET
brj-23798	135	12	following	follow	VERB
brj-23798	135	13	assumptions	assumption	NOUN
brj-23798	135	14	.	.	PUNCT
brj-23798	136	1	domain	domain	NOUN
brj-23798	136	2	-	-	PUNCT
brj-23798	136	3	based	base	VERB
brj-23798	136	4	model	model	NOUN
brj-23798	136	5	scheme	scheme	NOUN
brj-23798	136	6	to	to	PART
brj-23798	136	7	test	test	VERB
brj-23798	136	8	the	the	DET
brj-23798	136	9	individual	individual	ADJ
brj-23798	136	10	accuracies	accuracy	NOUN
brj-23798	136	11	of	of	ADP
brj-23798	136	12	the	the	DET
brj-23798	136	13	domain	domain	NOUN
brj-23798	136	14	-	-	PUNCT
brj-23798	136	15	based	base	VERB
brj-23798	136	16	diffuse(22dp	diffuse(22dp	PROPN
brj-23798	136	17	)	)	PUNCT
brj-23798	136	18	,	,	PUNCT
brj-23798	136	19	ring(17rp	ring(17rp	PROPN
brj-23798	136	20	)	)	PUNCT
brj-23798	136	21	and	and	CCONJ
brj-23798	136	22	semi	semi	ADJ
brj-23798	136	23	-	-	ADJ
brj-23798	136	24	ring	ring	ADJ
brj-23798	136	25	-	-	PUNCT
brj-23798	136	26	porous	porous	ADJ
brj-23798	136	27	(	(	PUNCT
brj-23798	136	28	3srp	3srp	NOUN
brj-23798	136	29	)	)	PUNCT
brj-23798	136	30	models	model	NOUN
brj-23798	136	31	,	,	PUNCT
brj-23798	136	32	each	each	DET
brj-23798	136	33	model	model	NOUN
brj-23798	136	34	was	be	AUX
brj-23798	136	35	run	run	VERB
brj-23798	136	36	on	on	ADP
brj-23798	136	37	the	the	DET
brj-23798	136	38	test	test	NOUN
brj-23798	136	39	dataset	dataset	NOUN
brj-23798	136	40	that	that	PRON
brj-23798	136	41	corresponded	correspond	VERB
brj-23798	136	42	to	to	ADP
brj-23798	136	43	its	its	PRON
brj-23798	136	44	porosity	porosity	NOUN
brj-23798	136	45	domain	domain	NOUN
brj-23798	136	46	.	.	PUNCT
brj-23798	137	1	in	in	ADP
brj-23798	137	2	the	the	DET
brj-23798	137	3	case	case	NOUN
brj-23798	137	4	of	of	ADP
brj-23798	137	5	actual	actual	ADJ
brj-23798	137	6	field	field	NOUN
brj-23798	137	7	deployment	deployment	NOUN
brj-23798	137	8	,	,	PUNCT
brj-23798	137	9	a	a	DET
brj-23798	137	10	specimen	speciman	NOUN
brj-23798	137	11	would	would	AUX
brj-23798	137	12	first	first	ADV
brj-23798	137	13	be	be	AUX
brj-23798	137	14	examined	examine	VERB
brj-23798	137	15	by	by	ADP
brj-23798	137	16	a	a	DET
brj-23798	137	17	human	human	ADJ
brj-23798	137	18	operator	operator	NOUN
brj-23798	137	19	who	who	PRON
brj-23798	137	20	would	would	AUX
brj-23798	137	21	make	make	VERB
brj-23798	137	22	a	a	DET
brj-23798	137	23	porosity	porosity	NOUN
brj-23798	137	24	domain	domain	NOUN
brj-23798	137	25	determination	determination	NOUN
brj-23798	137	26	and	and	CCONJ
brj-23798	137	27	then	then	ADV
brj-23798	137	28	select	select	VERB
brj-23798	137	29	the	the	DET
brj-23798	137	30	corresponding	corresponding	ADJ
brj-23798	137	31	domain	domain	NOUN
brj-23798	137	32	-	-	PUNCT
brj-23798	137	33	based	base	VERB
brj-23798	137	34	xylotron	xylotron	PROPN
brj-23798	137	35	model	model	PROPN
brj-23798	137	36	:	:	PUNCT
brj-23798	137	37	22dp	22dp	NUM
brj-23798	137	38	,	,	PUNCT
brj-23798	137	39	17rp	17rp	ADJ
brj-23798	137	40	,	,	PUNCT
brj-23798	137	41	or	or	CCONJ
brj-23798	137	42	3srp	3srp	NUM
brj-23798	137	43	(	(	PUNCT
brj-23798	137	44	fig	fig	NOUN
brj-23798	137	45	.	.	PUNCT
brj-23798	138	1	2	2	NUM
brj-23798	138	2	)	)	PUNCT
brj-23798	138	3	.	.	PUNCT
brj-23798	139	1	these	these	DET
brj-23798	139	2	accuracies	accuracy	NOUN
brj-23798	139	3	were	be	AUX
brj-23798	139	4	evaluated	evaluate	VERB
brj-23798	139	5	under	under	ADP
brj-23798	139	6	a	a	DET
brj-23798	139	7	best	good	ADJ
brj-23798	139	8	-	-	PUNCT
brj-23798	139	9	case	case	NOUN
brj-23798	139	10	scenario	scenario	NOUN
brj-23798	139	11	assuming	assume	VERB
brj-23798	139	12	that	that	SCONJ
brj-23798	139	13	the	the	DET
brj-23798	139	14	human	human	ADJ
brj-23798	139	15	operator	operator	NOUN
brj-23798	139	16	made	make	VERB
brj-23798	139	17	the	the	DET
brj-23798	139	18	initial	initial	ADJ
brj-23798	139	19	porosity	porosity	NOUN
brj-23798	139	20	domain	domain	NOUN
brj-23798	139	21	classification	classification	NOUN
brj-23798	139	22	without	without	ADP
brj-23798	139	23	error	error	NOUN
brj-23798	139	24	.	.	PUNCT
brj-23798	140	1	fig	fig	NOUN
brj-23798	140	2	.	.	PUNCT
brj-23798	141	1	2	2	X
brj-23798	141	2	.	.	X
brj-23798	141	3	in	in	ADP
brj-23798	141	4	the	the	DET
brj-23798	141	5	domain	domain	NOUN
brj-23798	141	6	-	-	PUNCT
brj-23798	141	7	based	base	VERB
brj-23798	141	8	model	model	NOUN
brj-23798	141	9	scheme	scheme	NOUN
brj-23798	141	10	,	,	PUNCT
brj-23798	141	11	a	a	DET
brj-23798	141	12	human	human	NOUN
brj-23798	141	13	would	would	AUX
brj-23798	141	14	first	first	ADV
brj-23798	141	15	make	make	VERB
brj-23798	141	16	a	a	DET
brj-23798	141	17	(	(	PUNCT
brj-23798	141	18	correct	correct	ADJ
brj-23798	141	19	)	)	PUNCT
brj-23798	141	20	porosity	porosity	NOUN
brj-23798	141	21	domain	domain	NOUN
brj-23798	141	22	determination	determination	NOUN
brj-23798	141	23	(	(	PUNCT
brj-23798	141	24	diffuse	diffuse	NOUN
brj-23798	141	25	-	-	PUNCT
brj-23798	141	26	porous	porous	ADJ
brj-23798	141	27	,	,	PUNCT
brj-23798	141	28	dp	dp	NOUN
brj-23798	141	29	;	;	PUNCT
brj-23798	141	30	ring	ring	NOUN
brj-23798	141	31	-	-	PUNCT
brj-23798	141	32	porous	porous	ADJ
brj-23798	141	33	,	,	PUNCT
brj-23798	141	34	rp	rp	NOUN
brj-23798	141	35	;	;	PUNCT
brj-23798	141	36	or	or	CCONJ
brj-23798	141	37	semi	semi	ADJ
brj-23798	141	38	-	-	ADJ
brj-23798	141	39	ring	ring	ADJ
brj-23798	141	40	-	-	PUNCT
brj-23798	141	41	porous	porous	ADJ
brj-23798	141	42	,	,	PUNCT
brj-23798	141	43	srp	srp	PROPN
brj-23798	141	44	)	)	PUNCT
brj-23798	141	45	for	for	ADP
brj-23798	141	46	the	the	DET
brj-23798	141	47	specimen	speciman	NOUN
brj-23798	141	48	and	and	CCONJ
brj-23798	141	49	then	then	ADV
brj-23798	141	50	select	select	VERB
brj-23798	141	51	the	the	DET
brj-23798	141	52	corresponding	corresponding	ADJ
brj-23798	141	53	domain	domain	NOUN
brj-23798	141	54	-	-	PUNCT
brj-23798	141	55	based	base	VERB
brj-23798	141	56	xylotron	xylotron	PROPN
brj-23798	141	57	model	model	PROPN
brj-23798	141	58	.	.	PUNCT
brj-23798	142	1	consolidated	consolidated	ADJ
brj-23798	142	2	model	model	NOUN
brj-23798	142	3	schemes	scheme	NOUN
brj-23798	142	4	to	to	PART
brj-23798	142	5	test	test	VERB
brj-23798	142	6	the	the	DET
brj-23798	142	7	accuracies	accuracy	NOUN
brj-23798	142	8	of	of	ADP
brj-23798	142	9	the	the	DET
brj-23798	142	10	consolidated	consolidated	ADJ
brj-23798	142	11	models	model	NOUN
brj-23798	142	12	,	,	PUNCT
brj-23798	142	13	the	the	DET
brj-23798	142	14	39dp	39dp	ADJ
brj-23798	142	15	-	-	PUNCT
brj-23798	142	16	rp	rp	NOUN
brj-23798	142	17	model	model	NOUN
brj-23798	142	18	was	be	AUX
brj-23798	142	19	run	run	VERB
brj-23798	142	20	on	on	ADP
brj-23798	142	21	the	the	DET
brj-23798	142	22	test	test	NOUN
brj-23798	142	23	dataset	dataset	NOUN
brj-23798	142	24	that	that	PRON
brj-23798	142	25	included	include	VERB
brj-23798	142	26	all	all	DET
brj-23798	142	27	diffuseand	diffuseand	NOUN
brj-23798	142	28	ring	ring	NOUN
brj-23798	142	29	-	-	PUNCT
brj-23798	142	30	porous	porous	ADJ
brj-23798	142	31	woods	wood	NOUN
brj-23798	142	32	,	,	PUNCT
brj-23798	142	33	and	and	CCONJ
brj-23798	142	34	the	the	DET
brj-23798	142	35	42	42	NUM
brj-23798	142	36	-	-	PUNCT
brj-23798	142	37	dp	dp	NOUN
brj-23798	142	38	-	-	PUNCT
brj-23798	142	39	rp	rp	NOUN
brj-23798	142	40	-	-	PUNCT
brj-23798	142	41	srp	srp	NOUN
brj-23798	142	42	model	model	NOUN
brj-23798	142	43	was	be	AUX
brj-23798	142	44	run	run	VERB
brj-23798	142	45	on	on	ADP
brj-23798	142	46	the	the	DET
brj-23798	142	47	test	test	NOUN
brj-23798	142	48	dataset	dataset	NOUN
brj-23798	142	49	that	that	PRON
brj-23798	142	50	included	include	VERB
brj-23798	142	51	all	all	DET
brj-23798	142	52	diffuse-	diffuse-	NOUN
brj-23798	142	53	,	,	PUNCT
brj-23798	142	54	ring-	ring-	X
brj-23798	142	55	,	,	PUNCT
brj-23798	142	56	and	and	CCONJ
brj-23798	142	57	semi	semi	ADJ
brj-23798	142	58	-	-	ADJ
brj-23798	142	59	ring	ring	ADJ
brj-23798	142	60	-	-	PUNCT
brj-23798	142	61	porous	porous	ADJ
brj-23798	142	62	woods	wood	NOUN
brj-23798	142	63	.	.	PUNCT
brj-23798	143	1	in	in	ADP
brj-23798	143	2	the	the	DET
brj-23798	143	3	case	case	NOUN
brj-23798	143	4	of	of	ADP
brj-23798	143	5	actual	actual	ADJ
brj-23798	143	6	field	field	NOUN
brj-23798	143	7	deployment	deployment	NOUN
brj-23798	143	8	,	,	PUNCT
brj-23798	143	9	the	the	DET
brj-23798	143	10	human	human	ADJ
brj-23798	143	11	operator	operator	NOUN
brj-23798	143	12	would	would	AUX
brj-23798	143	13	deploy	deploy	VERB
brj-23798	143	14	one	one	NUM
brj-23798	143	15	model	model	NOUN
brj-23798	143	16	without	without	ADP
brj-23798	143	17	first	first	ADV
brj-23798	143	18	making	make	VERB
brj-23798	143	19	a	a	DET
brj-23798	143	20	porosity	porosity	NOUN
brj-23798	143	21	domain	domain	NOUN
brj-23798	143	22	determination	determination	NOUN
brj-23798	143	23	(	(	PUNCT
brj-23798	143	24	fig	fig	NOUN
brj-23798	143	25	.	.	PUNCT
brj-23798	144	1	3	3	NUM
brj-23798	144	2	)	)	PUNCT
brj-23798	144	3	.	.	PUNCT
brj-23798	145	1	in	in	ADP
brj-23798	145	2	the	the	DET
brj-23798	145	3	case	case	NOUN
brj-23798	145	4	of	of	ADP
brj-23798	145	5	the	the	DET
brj-23798	145	6	39dp	39dp	ADJ
brj-23798	145	7	-	-	PUNCT
brj-23798	145	8	rp	rp	NOUN
brj-23798	145	9	model	model	NOUN
brj-23798	145	10	,	,	PUNCT
brj-23798	145	11	we	we	PRON
brj-23798	145	12	assume	assume	VERB
brj-23798	145	13	that	that	SCONJ
brj-23798	145	14	there	there	PRON
brj-23798	145	15	are	be	VERB
brj-23798	145	16	no	no	DET
brj-23798	145	17	semi	semi	ADJ
brj-23798	145	18	-	-	ADJ
brj-23798	145	19	ring	ring	ADJ
brj-23798	145	20	-	-	PUNCT
brj-23798	145	21	porous	porous	ADJ
brj-23798	145	22	woods	wood	NOUN
brj-23798	145	23	in	in	ADP
brj-23798	145	24	this	this	DET
brj-23798	145	25	particular	particular	ADJ
brj-23798	145	26	region	region	NOUN
brj-23798	145	27	of	of	ADP
brj-23798	145	28	deployment	deployment	NOUN
brj-23798	145	29	.	.	PUNCT
brj-23798	146	1	peer	peer	NOUN
brj-23798	146	2	-	-	PUNCT
brj-23798	146	3	reviewed	review	VERB
brj-23798	146	4	article	article	NOUN
brj-23798	146	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	146	6	owens	owens	PROPN
brj-23798	146	7	et	et	PROPN
brj-23798	146	8	al	al	PROPN
brj-23798	146	9	.	.	PROPN
brj-23798	147	1	(	(	PUNCT
brj-23798	147	2	2024	2024	NUM
brj-23798	147	3	)	)	PUNCT
brj-23798	147	4	.	.	PUNCT
brj-23798	148	1	“	"	PUNCT
brj-23798	148	2	computer	computer	NOUN
brj-23798	148	3	-	-	PUNCT
brj-23798	148	4	vision	vision	NOUN
brj-23798	148	5	wood	wood	NOUN
brj-23798	148	6	id	id	NOUN
brj-23798	148	7	-	-	ADJ
brj-23798	148	8	ing	ing	ADJ
brj-23798	148	9	,	,	PUNCT
brj-23798	148	10	”	"	PUNCT
brj-23798	148	11	bioresources	bioresource	NOUN
brj-23798	148	12	19(4	19(4	NUM
brj-23798	148	13	)	)	PUNCT
brj-23798	148	14	,	,	PUNCT
brj-23798	148	15	9741	9741	NUM
brj-23798	148	16	-	-	SYM
brj-23798	148	17	9772	9772	NUM
brj-23798	148	18	.	.	PUNCT
brj-23798	149	1	9749	9749	NUM
brj-23798	149	2	fig	fig	NOUN
brj-23798	149	3	.	.	PUNCT
brj-23798	150	1	3	3	X
brj-23798	150	2	.	.	X
brj-23798	150	3	in	in	ADP
brj-23798	150	4	the	the	DET
brj-23798	150	5	consolidated	consolidated	ADJ
brj-23798	150	6	model	model	NOUN
brj-23798	150	7	schemes	scheme	NOUN
brj-23798	150	8	,	,	PUNCT
brj-23798	150	9	a	a	DET
brj-23798	150	10	human	human	NOUN
brj-23798	150	11	does	do	AUX
brj-23798	150	12	not	not	PART
brj-23798	150	13	need	need	VERB
brj-23798	150	14	to	to	PART
brj-23798	150	15	first	first	ADV
brj-23798	150	16	make	make	VERB
brj-23798	150	17	a	a	DET
brj-23798	150	18	(	(	PUNCT
brj-23798	150	19	correct	correct	ADJ
brj-23798	150	20	)	)	PUNCT
brj-23798	150	21	porosity	porosity	NOUN
brj-23798	150	22	domain	domain	NOUN
brj-23798	150	23	determination	determination	NOUN
brj-23798	150	24	.	.	PUNCT
brj-23798	151	1	one	one	NUM
brj-23798	151	2	xylotron	xylotron	PROPN
brj-23798	151	3	model	model	PROPN
brj-23798	151	4	would	would	AUX
brj-23798	151	5	be	be	AUX
brj-23798	151	6	deployed	deploy	VERB
brj-23798	151	7	.	.	PUNCT
brj-23798	152	1	in	in	ADP
brj-23798	152	2	the	the	DET
brj-23798	152	3	case	case	NOUN
brj-23798	152	4	of	of	ADP
brj-23798	152	5	the	the	DET
brj-23798	152	6	39dprp	39dprp	PROPN
brj-23798	152	7	model	model	NOUN
brj-23798	152	8	(	(	PUNCT
brj-23798	152	9	left	left	ADV
brj-23798	152	10	)	)	PUNCT
brj-23798	152	11	,	,	PUNCT
brj-23798	152	12	we	we	PRON
brj-23798	152	13	assume	assume	VERB
brj-23798	152	14	that	that	SCONJ
brj-23798	152	15	there	there	PRON
brj-23798	152	16	are	be	VERB
brj-23798	152	17	no	no	DET
brj-23798	152	18	semi	semi	ADJ
brj-23798	152	19	-	-	ADJ
brj-23798	152	20	ring	ring	ADJ
brj-23798	152	21	-	-	PUNCT
brj-23798	152	22	porous	porous	ADJ
brj-23798	152	23	woods	wood	NOUN
brj-23798	152	24	in	in	ADP
brj-23798	152	25	the	the	DET
brj-23798	152	26	region	region	NOUN
brj-23798	152	27	of	of	ADP
brj-23798	152	28	deployment	deployment	NOUN
brj-23798	152	29	.	.	PUNCT
brj-23798	153	1	(	(	PUNCT
brj-23798	153	2	abbreviations	abbreviation	NOUN
brj-23798	153	3	:	:	PUNCT
brj-23798	153	4	diffuse	diffuse	NOUN
brj-23798	153	5	-	-	PUNCT
brj-23798	153	6	porous	porous	ADJ
brj-23798	153	7	,	,	PUNCT
brj-23798	153	8	dp	dp	NOUN
brj-23798	153	9	;	;	PUNCT
brj-23798	153	10	ring	ring	NOUN
brj-23798	153	11	-	-	PUNCT
brj-23798	153	12	porous	porous	ADJ
brj-23798	153	13	,	,	PUNCT
brj-23798	153	14	rp	rp	NOUN
brj-23798	153	15	;	;	PUNCT
brj-23798	153	16	semi	semi	ADJ
brj-23798	153	17	-	-	ADJ
brj-23798	153	18	ring	ring	ADJ
brj-23798	153	19	-	-	PUNCT
brj-23798	153	20	porous	porous	ADJ
brj-23798	153	21	,	,	PUNCT
brj-23798	153	22	srp	srp	NOUN
brj-23798	153	23	)	)	PUNCT
brj-23798	153	24	cascading	cascade	VERB
brj-23798	153	25	model	model	NOUN
brj-23798	153	26	scheme	scheme	NOUN
brj-23798	153	27	to	to	PART
brj-23798	153	28	test	test	VERB
brj-23798	153	29	the	the	DET
brj-23798	153	30	accuracy	accuracy	NOUN
brj-23798	153	31	of	of	ADP
brj-23798	153	32	a	a	DET
brj-23798	153	33	cascading	cascade	VERB
brj-23798	153	34	model	model	NOUN
brj-23798	153	35	scheme	scheme	NOUN
brj-23798	153	36	,	,	PUNCT
brj-23798	153	37	the	the	DET
brj-23798	153	38	3por	3por	PROPN
brj-23798	153	39	xylotron	xylotron	PROPN
brj-23798	153	40	model	model	PROPN
brj-23798	153	41	was	be	AUX
brj-23798	153	42	deployed	deploy	VERB
brj-23798	153	43	first	first	ADV
brj-23798	153	44	to	to	PART
brj-23798	153	45	classify	classify	VERB
brj-23798	153	46	the	the	DET
brj-23798	153	47	porosity	porosity	NOUN
brj-23798	153	48	domain	domain	NOUN
brj-23798	153	49	of	of	ADP
brj-23798	153	50	the	the	DET
brj-23798	153	51	image	image	NOUN
brj-23798	153	52	.	.	PUNCT
brj-23798	154	1	based	base	VERB
brj-23798	154	2	on	on	ADP
brj-23798	154	3	the	the	DET
brj-23798	154	4	output	output	NOUN
brj-23798	154	5	,	,	PUNCT
brj-23798	154	6	the	the	DET
brj-23798	154	7	image	image	NOUN
brj-23798	154	8	was	be	AUX
brj-23798	154	9	submitted	submit	VERB
brj-23798	154	10	to	to	ADP
brj-23798	154	11	the	the	DET
brj-23798	154	12	xylotron	xylotron	PROPN
brj-23798	154	13	model	model	NOUN
brj-23798	154	14	that	that	PRON
brj-23798	154	15	corresponded	correspond	VERB
brj-23798	154	16	to	to	ADP
brj-23798	154	17	the	the	DET
brj-23798	154	18	identified	identify	VERB
brj-23798	154	19	porosity	porosity	NOUN
brj-23798	154	20	domain	domain	NOUN
brj-23798	154	21	.	.	PUNCT
brj-23798	155	1	in	in	ADP
brj-23798	155	2	the	the	DET
brj-23798	155	3	case	case	NOUN
brj-23798	155	4	of	of	ADP
brj-23798	155	5	actual	actual	ADJ
brj-23798	155	6	field	field	NOUN
brj-23798	155	7	deployment	deployment	NOUN
brj-23798	155	8	,	,	PUNCT
brj-23798	155	9	the	the	DET
brj-23798	155	10	xylotron	xylotron	PROPN
brj-23798	155	11	software	software	PROPN
brj-23798	155	12	would	would	AUX
brj-23798	155	13	implement	implement	VERB
brj-23798	155	14	the	the	DET
brj-23798	155	15	two	two	NUM
brj-23798	155	16	models	model	NOUN
brj-23798	155	17	sequentially	sequentially	ADV
brj-23798	155	18	without	without	ADP
brj-23798	155	19	need	need	NOUN
brj-23798	155	20	for	for	SCONJ
brj-23798	155	21	the	the	DET
brj-23798	155	22	human	human	ADJ
brj-23798	155	23	operator	operator	NOUN
brj-23798	155	24	to	to	PART
brj-23798	155	25	make	make	VERB
brj-23798	155	26	a	a	DET
brj-23798	155	27	porosity	porosity	NOUN
brj-23798	155	28	domain	domain	NOUN
brj-23798	155	29	determination	determination	NOUN
brj-23798	155	30	(	(	PUNCT
brj-23798	155	31	fig	fig	NOUN
brj-23798	155	32	.	.	PUNCT
brj-23798	155	33	4	4	NUM
brj-23798	155	34	)	)	PUNCT
brj-23798	155	35	or	or	CCONJ
brj-23798	155	36	need	need	VERB
brj-23798	155	37	to	to	PART
brj-23798	155	38	manually	manually	ADV
brj-23798	155	39	submit	submit	VERB
brj-23798	155	40	the	the	DET
brj-23798	155	41	image	image	NOUN
brj-23798	155	42	to	to	ADP
brj-23798	155	43	the	the	DET
brj-23798	155	44	corresponding	corresponding	ADJ
brj-23798	155	45	model	model	NOUN
brj-23798	155	46	as	as	SCONJ
brj-23798	155	47	we	we	PRON
brj-23798	155	48	have	have	AUX
brj-23798	155	49	done	do	VERB
brj-23798	155	50	here	here	ADV
brj-23798	155	51	.	.	PUNCT
brj-23798	156	1	fig	fig	NOUN
brj-23798	156	2	.	.	PUNCT
brj-23798	157	1	4	4	X
brj-23798	157	2	.	.	X
brj-23798	157	3	in	in	ADP
brj-23798	157	4	the	the	DET
brj-23798	157	5	cascading	cascade	VERB
brj-23798	157	6	model	model	NOUN
brj-23798	157	7	scheme	scheme	NOUN
brj-23798	157	8	,	,	PUNCT
brj-23798	157	9	a	a	DET
brj-23798	157	10	human	human	NOUN
brj-23798	157	11	does	do	AUX
brj-23798	157	12	not	not	PART
brj-23798	157	13	need	need	VERB
brj-23798	157	14	to	to	PART
brj-23798	157	15	first	first	ADV
brj-23798	157	16	make	make	VERB
brj-23798	157	17	a	a	DET
brj-23798	157	18	porosity	porosity	NOUN
brj-23798	157	19	domain	domain	NOUN
brj-23798	157	20	determination	determination	NOUN
brj-23798	157	21	.	.	PUNCT
brj-23798	158	1	instead	instead	ADV
brj-23798	158	2	,	,	PUNCT
brj-23798	158	3	the	the	DET
brj-23798	158	4	3por	3por	PROPN
brj-23798	158	5	xylotron	xylotron	PROPN
brj-23798	158	6	model	model	NOUN
brj-23798	158	7	is	be	AUX
brj-23798	158	8	deployed	deploy	VERB
brj-23798	158	9	first	first	ADV
brj-23798	158	10	to	to	PART
brj-23798	158	11	classify	classify	VERB
brj-23798	158	12	the	the	DET
brj-23798	158	13	porosity	porosity	NOUN
brj-23798	158	14	of	of	ADP
brj-23798	158	15	the	the	DET
brj-23798	158	16	specimen	speciman	NOUN
brj-23798	158	17	(	(	PUNCT
brj-23798	158	18	diffuse	diffuse	NOUN
brj-23798	158	19	-	-	PUNCT
brj-23798	158	20	porous	porous	ADJ
brj-23798	158	21	,	,	PUNCT
brj-23798	158	22	dp	dp	NOUN
brj-23798	158	23	;	;	PUNCT
brj-23798	158	24	ring	ring	NOUN
brj-23798	158	25	-	-	PUNCT
brj-23798	158	26	porous	porous	ADJ
brj-23798	158	27	,	,	PUNCT
brj-23798	158	28	rp	rp	NOUN
brj-23798	158	29	;	;	PUNCT
brj-23798	158	30	or	or	CCONJ
brj-23798	158	31	semi	semi	ADJ
brj-23798	158	32	-	-	ADJ
brj-23798	158	33	ring	ring	ADJ
brj-23798	158	34	-	-	PUNCT
brj-23798	158	35	porous	porous	ADJ
brj-23798	158	36	,	,	PUNCT
brj-23798	158	37	srp	srp	PROPN
brj-23798	158	38	)	)	PUNCT
brj-23798	158	39	.	.	PUNCT
brj-23798	159	1	based	base	VERB
brj-23798	159	2	on	on	ADP
brj-23798	159	3	the	the	DET
brj-23798	159	4	output	output	NOUN
brj-23798	159	5	,	,	PUNCT
brj-23798	159	6	the	the	DET
brj-23798	159	7	xylotron	xylotron	PROPN
brj-23798	159	8	model	model	NOUN
brj-23798	159	9	that	that	PRON
brj-23798	159	10	corresponded	correspond	VERB
brj-23798	159	11	to	to	ADP
brj-23798	159	12	that	that	DET
brj-23798	159	13	porosity	porosity	NOUN
brj-23798	159	14	domain	domain	NOUN
brj-23798	159	15	type	type	NOUN
brj-23798	159	16	would	would	AUX
brj-23798	159	17	then	then	ADV
brj-23798	159	18	be	be	AUX
brj-23798	159	19	deployed	deploy	VERB
brj-23798	159	20	.	.	PUNCT
brj-23798	160	1	peer	peer	NOUN
brj-23798	160	2	-	-	PUNCT
brj-23798	160	3	reviewed	review	VERB
brj-23798	160	4	article	article	NOUN
brj-23798	160	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	160	6	owens	owens	PROPN
brj-23798	160	7	et	et	PROPN
brj-23798	160	8	al	al	PROPN
brj-23798	160	9	.	.	PROPN
brj-23798	161	1	(	(	PUNCT
brj-23798	161	2	2024	2024	NUM
brj-23798	161	3	)	)	PUNCT
brj-23798	161	4	.	.	PUNCT
brj-23798	162	1	“	"	PUNCT
brj-23798	162	2	computer	computer	NOUN
brj-23798	162	3	-	-	PUNCT
brj-23798	162	4	vision	vision	NOUN
brj-23798	162	5	wood	wood	NOUN
brj-23798	162	6	id	id	NOUN
brj-23798	162	7	-	-	ADJ
brj-23798	162	8	ing	ing	ADJ
brj-23798	162	9	,	,	PUNCT
brj-23798	162	10	”	"	PUNCT
brj-23798	162	11	bioresources	bioresource	NOUN
brj-23798	162	12	19(4	19(4	NUM
brj-23798	162	13	)	)	PUNCT
brj-23798	162	14	,	,	PUNCT
brj-23798	162	15	9741	9741	NUM
brj-23798	162	16	-	-	SYM
brj-23798	162	17	9772	9772	NUM
brj-23798	162	18	.	.	PUNCT
brj-23798	163	1	9750	9750	NUM
brj-23798	163	2	model	model	NOUN
brj-23798	163	3	top-1	top-1	PUNCT
brj-23798	163	4	accuracies	accuracy	NOUN
brj-23798	163	5	are	be	AUX
brj-23798	163	6	reported	report	VERB
brj-23798	163	7	below	below	ADV
brj-23798	163	8	,	,	PUNCT
brj-23798	163	9	and	and	CCONJ
brj-23798	163	10	top-2	top-2	NOUN
brj-23798	163	11	accuracies	accuracy	NOUN
brj-23798	163	12	can	can	AUX
brj-23798	163	13	be	be	AUX
brj-23798	163	14	found	find	VERB
brj-23798	163	15	in	in	ADP
brj-23798	163	16	the	the	DET
brj-23798	163	17	appendix	appendix	NOUN
brj-23798	163	18	.	.	PUNCT
brj-23798	164	1	results	result	NOUN
brj-23798	164	2	and	and	CCONJ
brj-23798	164	3	discussion	discussion	NOUN
brj-23798	164	4	domain	domain	NOUN
brj-23798	164	5	-	-	PUNCT
brj-23798	164	6	based	base	VERB
brj-23798	164	7	model	model	NOUN
brj-23798	164	8	scheme	scheme	NOUN
brj-23798	164	9	accuracy	accuracy	NOUN
brj-23798	164	10	confusion	confusion	NOUN
brj-23798	164	11	matrices	matrix	NOUN
brj-23798	164	12	for	for	ADP
brj-23798	164	13	the	the	DET
brj-23798	164	14	domain	domain	NOUN
brj-23798	164	15	-	-	PUNCT
brj-23798	164	16	based	base	VERB
brj-23798	164	17	diffuse(22dp	diffuse(22dp	PROPN
brj-23798	164	18	)	)	PUNCT
brj-23798	164	19	and	and	CCONJ
brj-23798	164	20	ring	ring	NOUN
brj-23798	164	21	-	-	PUNCT
brj-23798	164	22	porous	porous	ADJ
brj-23798	164	23	(	(	PUNCT
brj-23798	164	24	17rp	17rp	ADJ
brj-23798	164	25	)	)	PUNCT
brj-23798	164	26	models	model	NOUN
brj-23798	164	27	can	can	AUX
brj-23798	164	28	be	be	AUX
brj-23798	164	29	found	find	VERB
brj-23798	164	30	in	in	ADP
brj-23798	164	31	ravindran	ravindran	NOUN
brj-23798	164	32	et	et	PROPN
brj-23798	164	33	al	al	PROPN
brj-23798	164	34	.	.	PROPN
brj-23798	164	35	2022a	2022a	NOUN
brj-23798	164	36	and	and	CCONJ
brj-23798	164	37	2022b	2022b	NUM
brj-23798	164	38	,	,	PUNCT
brj-23798	164	39	respectively	respectively	ADV
brj-23798	164	40	,	,	PUNCT
brj-23798	164	41	along	along	ADP
brj-23798	164	42	with	with	ADP
brj-23798	164	43	misidentification	misidentification	NOUN
brj-23798	164	44	analyses	analysis	NOUN
brj-23798	164	45	.	.	PUNCT
brj-23798	165	1	their	their	PRON
brj-23798	165	2	respective	respective	ADJ
brj-23798	165	3	top-1	top-1	PUNCT
brj-23798	165	4	predictive	predictive	ADJ
brj-23798	165	5	accuracies	accuracy	NOUN
brj-23798	165	6	were	be	AUX
brj-23798	165	7	80.6	80.6	NUM
brj-23798	165	8	%	%	NOUN
brj-23798	165	9	and	and	CCONJ
brj-23798	165	10	91.4	91.4	NUM
brj-23798	165	11	%	%	NOUN
brj-23798	165	12	.	.	PUNCT
brj-23798	166	1	the	the	DET
brj-23798	166	2	top-1	top-1	PUNCT
brj-23798	166	3	predictive	predictive	ADJ
brj-23798	166	4	accuracy	accuracy	NOUN
brj-23798	166	5	for	for	ADP
brj-23798	166	6	the	the	DET
brj-23798	166	7	domain	domain	NOUN
brj-23798	166	8	-	-	PUNCT
brj-23798	166	9	based	base	VERB
brj-23798	166	10	semi	semi	ADJ
brj-23798	166	11	-	-	ADJ
brj-23798	166	12	ring	ring	ADJ
brj-23798	166	13	-	-	PUNCT
brj-23798	166	14	porous	porous	ADJ
brj-23798	166	15	model	model	NOUN
brj-23798	166	16	(	(	PUNCT
brj-23798	166	17	3srp	3srp	NOUN
brj-23798	166	18	)	)	PUNCT
brj-23798	166	19	was	be	AUX
brj-23798	166	20	100.0	100.0	NUM
brj-23798	166	21	%	%	NOUN
brj-23798	166	22	,	,	PUNCT
brj-23798	166	23	and	and	CCONJ
brj-23798	166	24	it	it	PRON
brj-23798	166	25	was	be	AUX
brj-23798	166	26	tested	test	VERB
brj-23798	166	27	on	on	ADP
brj-23798	166	28	3	3	NUM
brj-23798	166	29	specimens	specimen	NOUN
brj-23798	166	30	of	of	ADP
brj-23798	166	31	diospyros	diospyro	NOUN
brj-23798	166	32	virginiana	virginiana	PROPN
brj-23798	166	33	,	,	PUNCT
brj-23798	166	34	12	12	NUM
brj-23798	166	35	specimens	specimen	NOUN
brj-23798	166	36	of	of	ADP
brj-23798	166	37	juglans	juglan	NOUN
brj-23798	166	38	cinerea	cinerea	NOUN
brj-23798	166	39	,	,	PUNCT
brj-23798	166	40	and	and	CCONJ
brj-23798	166	41	13	13	NUM
brj-23798	166	42	specimens	specimen	NOUN
brj-23798	166	43	of	of	ADP
brj-23798	166	44	juglans	juglan	NOUN
brj-23798	166	45	nigra	nigra	NOUN
brj-23798	166	46	.	.	PUNCT
brj-23798	167	1	assuming	assume	VERB
brj-23798	167	2	the	the	DET
brj-23798	167	3	xylotron	xylotron	PROPN
brj-23798	167	4	operator	operator	NOUN
brj-23798	167	5	would	would	AUX
brj-23798	167	6	be	be	AUX
brj-23798	167	7	able	able	ADJ
brj-23798	167	8	to	to	PART
brj-23798	167	9	separate	separate	VERB
brj-23798	167	10	all	all	DET
brj-23798	167	11	the	the	DET
brj-23798	167	12	specimens	specimen	NOUN
brj-23798	167	13	into	into	ADP
brj-23798	167	14	their	their	PRON
brj-23798	167	15	correct	correct	ADJ
brj-23798	167	16	porosity	porosity	NOUN
brj-23798	167	17	domains	domain	NOUN
brj-23798	167	18	and	and	CCONJ
brj-23798	167	19	apply	apply	VERB
brj-23798	167	20	the	the	DET
brj-23798	167	21	appropriate	appropriate	ADJ
brj-23798	167	22	domain	domain	NOUN
brj-23798	167	23	-	-	PUNCT
brj-23798	167	24	based	base	VERB
brj-23798	167	25	model	model	NOUN
brj-23798	167	26	to	to	ADP
brj-23798	167	27	each	each	DET
brj-23798	167	28	specimen	speciman	NOUN
brj-23798	167	29	,	,	PUNCT
brj-23798	167	30	the	the	DET
brj-23798	167	31	overall	overall	ADJ
brj-23798	167	32	accuracy	accuracy	NOUN
brj-23798	167	33	for	for	ADP
brj-23798	167	34	the	the	DET
brj-23798	167	35	domain	domain	NOUN
brj-23798	167	36	-	-	PUNCT
brj-23798	167	37	based	base	VERB
brj-23798	167	38	model	model	NOUN
brj-23798	167	39	scheme	scheme	NOUN
brj-23798	167	40	would	would	AUX
brj-23798	167	41	be	be	AUX
brj-23798	167	42	85.9	85.9	NUM
brj-23798	167	43	%	%	NOUN
brj-23798	167	44	.	.	PUNCT
brj-23798	168	1	consolidated	consolidated	ADJ
brj-23798	168	2	model	model	NOUN
brj-23798	168	3	scheme	scheme	NOUN
brj-23798	168	4	accuracies	accuracy	NOUN
brj-23798	168	5	39	39	NUM
brj-23798	168	6	-	-	PUNCT
brj-23798	168	7	class	class	NOUN
brj-23798	168	8	consolidated	consolidated	ADJ
brj-23798	168	9	model	model	NOUN
brj-23798	168	10	the	the	DET
brj-23798	168	11	top-1	top-1	PUNCT
brj-23798	168	12	predictive	predictive	ADJ
brj-23798	168	13	accuracy	accuracy	NOUN
brj-23798	168	14	for	for	ADP
brj-23798	168	15	the	the	DET
brj-23798	168	16	consolidated	consolidated	ADJ
brj-23798	168	17	39	39	NUM
brj-23798	168	18	-	-	PUNCT
brj-23798	168	19	class	class	NOUN
brj-23798	168	20	model	model	NOUN
brj-23798	168	21	(	(	PUNCT
brj-23798	168	22	39dp	39dp	NOUN
brj-23798	168	23	-	-	PUNCT
brj-23798	168	24	rp	rp	NOUN
brj-23798	168	25	)	)	PUNCT
brj-23798	168	26	was	be	AUX
brj-23798	168	27	84.2	84.2	NUM
brj-23798	168	28	%	%	NOUN
brj-23798	168	29	.	.	PUNCT
brj-23798	169	1	broken	break	VERB
brj-23798	169	2	down	down	ADP
brj-23798	169	3	by	by	ADP
brj-23798	169	4	porosity	porosity	NOUN
brj-23798	169	5	domain	domain	NOUN
brj-23798	169	6	,	,	PUNCT
brj-23798	169	7	the	the	DET
brj-23798	169	8	predictive	predictive	ADJ
brj-23798	169	9	accuracy	accuracy	NOUN
brj-23798	169	10	for	for	ADP
brj-23798	169	11	diffuse	diffuse	NOUN
brj-23798	169	12	-	-	PUNCT
brj-23798	169	13	porous	porous	ADJ
brj-23798	169	14	woods	wood	NOUN
brj-23798	169	15	was	be	AUX
brj-23798	169	16	80.1	80.1	NUM
brj-23798	169	17	%	%	NOUN
brj-23798	169	18	and	and	CCONJ
brj-23798	169	19	for	for	ADP
brj-23798	169	20	ring	ring	NOUN
brj-23798	169	21	-	-	PUNCT
brj-23798	169	22	porous	porous	ADJ
brj-23798	169	23	woods	wood	NOUN
brj-23798	169	24	was	be	AUX
brj-23798	169	25	90.0	90.0	NUM
brj-23798	169	26	%	%	NOUN
brj-23798	169	27	(	(	PUNCT
brj-23798	169	28	fig	fig	NOUN
brj-23798	169	29	.	.	PUNCT
brj-23798	169	30	5	5	NUM
brj-23798	169	31	,	,	PUNCT
brj-23798	169	32	tables	table	NOUN
brj-23798	169	33	5	5	NUM
brj-23798	169	34	,	,	PUNCT
brj-23798	169	35	6	6	NUM
brj-23798	169	36	)	)	PUNCT
brj-23798	169	37	.	.	PUNCT
brj-23798	170	1	peer	peer	NOUN
brj-23798	170	2	-	-	PUNCT
brj-23798	170	3	reviewed	review	VERB
brj-23798	170	4	article	article	NOUN
brj-23798	170	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	170	6	owens	owens	PROPN
brj-23798	170	7	et	et	PROPN
brj-23798	170	8	al	al	PROPN
brj-23798	170	9	.	.	PROPN
brj-23798	171	1	(	(	PUNCT
brj-23798	171	2	2024	2024	NUM
brj-23798	171	3	)	)	PUNCT
brj-23798	171	4	.	.	PUNCT
brj-23798	172	1	“	"	PUNCT
brj-23798	172	2	computer	computer	NOUN
brj-23798	172	3	-	-	PUNCT
brj-23798	172	4	vision	vision	NOUN
brj-23798	172	5	wood	wood	NOUN
brj-23798	172	6	id	id	NOUN
brj-23798	172	7	-	-	ADJ
brj-23798	172	8	ing	ing	ADJ
brj-23798	172	9	,	,	PUNCT
brj-23798	172	10	”	"	PUNCT
brj-23798	172	11	bioresources	bioresource	NOUN
brj-23798	172	12	19(4	19(4	NUM
brj-23798	172	13	)	)	PUNCT
brj-23798	172	14	,	,	PUNCT
brj-23798	172	15	9741	9741	NUM
brj-23798	172	16	-	-	SYM
brj-23798	172	17	9772	9772	NUM
brj-23798	172	18	.	.	PUNCT
brj-23798	173	1	9751	9751	NUM
brj-23798	173	2	fig	fig	NOUN
brj-23798	173	3	.	.	PUNCT
brj-23798	174	1	5	5	NUM
brj-23798	174	2	.	.	X
brj-23798	174	3	confusion	confusion	NOUN
brj-23798	174	4	matrix	matrix	NOUN
brj-23798	174	5	of	of	ADP
brj-23798	174	6	resnet34	resnet34	NOUN
brj-23798	174	7	field	field	NOUN
brj-23798	174	8	model	model	NOUN
brj-23798	174	9	on	on	ADP
brj-23798	174	10	test	test	NOUN
brj-23798	174	11	specimens	specimen	NOUN
brj-23798	174	12	for	for	ADP
brj-23798	174	13	the	the	DET
brj-23798	174	14	consolidated	consolidated	ADJ
brj-23798	174	15	39dprp	39dprp	PROPN
brj-23798	174	16	model	model	NOUN
brj-23798	174	17	.	.	PUNCT
brj-23798	175	1	counts	count	NOUN
brj-23798	175	2	in	in	ADP
brj-23798	175	3	the	the	DET
brj-23798	175	4	diagonal	diagonal	ADJ
brj-23798	175	5	cells	cell	NOUN
brj-23798	175	6	indicate	indicate	VERB
brj-23798	175	7	correct	correct	ADJ
brj-23798	175	8	predictions	prediction	NOUN
brj-23798	175	9	.	.	PUNCT
brj-23798	176	1	off	off	ADP
brj-23798	176	2	-	-	PUNCT
brj-23798	176	3	diagonal	diagonal	ADJ
brj-23798	176	4	counts	count	NOUN
brj-23798	176	5	indicate	indicate	VERB
brj-23798	176	6	misclassifications	misclassification	NOUN
brj-23798	176	7	.	.	PUNCT
brj-23798	177	1	the	the	DET
brj-23798	177	2	blue	blue	ADJ
brj-23798	177	3	dotted	dotted	ADJ
brj-23798	177	4	lines	line	NOUN
brj-23798	177	5	delineate	delineate	VERB
brj-23798	177	6	porosity	porosity	NOUN
brj-23798	177	7	domains	domain	NOUN
brj-23798	177	8	.	.	PUNCT
brj-23798	178	1	from	from	ADP
brj-23798	178	2	acerh	acerh	NOUN
brj-23798	178	3	to	to	ADP
brj-23798	178	4	tilia	tilia	PROPN
brj-23798	178	5	are	be	AUX
brj-23798	178	6	diffuse	diffuse	ADJ
brj-23798	178	7	-	-	PUNCT
brj-23798	178	8	porous	porous	ADJ
brj-23798	178	9	classes	class	NOUN
brj-23798	178	10	and	and	CCONJ
brj-23798	178	11	from	from	ADP
brj-23798	178	12	asimina	asimina	NOUN
brj-23798	178	13	to	to	ADP
brj-23798	178	14	ulmuss	ulmuss	ADJ
brj-23798	178	15	are	be	AUX
brj-23798	178	16	ring	ring	NOUN
brj-23798	178	17	-	-	PUNCT
brj-23798	178	18	porous	porous	ADJ
brj-23798	178	19	classes	class	NOUN
brj-23798	178	20	.	.	PUNCT
brj-23798	179	1	counts	count	NOUN
brj-23798	179	2	appearing	appear	VERB
brj-23798	179	3	in	in	ADP
brj-23798	179	4	the	the	DET
brj-23798	179	5	top	top	ADJ
brj-23798	179	6	right	right	ADJ
brj-23798	179	7	region	region	NOUN
brj-23798	179	8	are	be	AUX
brj-23798	179	9	cross	cross	ADJ
brj-23798	179	10	-	-	ADJ
brj-23798	179	11	domain	domain	ADJ
brj-23798	179	12	misclassifications	misclassification	NOUN
brj-23798	179	13	for	for	ADP
brj-23798	179	14	porosity	porosity	NOUN
brj-23798	179	15	(	(	PUNCT
brj-23798	179	16	diffuse	diffuse	NOUN
brj-23798	179	17	-	-	PUNCT
brj-23798	179	18	porous	porous	ADJ
brj-23798	179	19	woods	wood	NOUN
brj-23798	179	20	mistaken	mistaken	ADJ
brj-23798	179	21	for	for	ADP
brj-23798	179	22	ring	ring	NOUN
brj-23798	179	23	-	-	PUNCT
brj-23798	179	24	porous	porous	ADJ
brj-23798	179	25	woods	wood	NOUN
brj-23798	179	26	)	)	PUNCT
brj-23798	179	27	.	.	PUNCT
brj-23798	180	1	n	n	NOUN
brj-23798	180	2	=	=	SYM
brj-23798	180	3	482	482	NUM
brj-23798	180	4	the	the	DET
brj-23798	180	5	confusion	confusion	NOUN
brj-23798	180	6	matrix	matrix	NOUN
brj-23798	180	7	for	for	ADP
brj-23798	180	8	the	the	DET
brj-23798	180	9	consolidated	consolidated	ADJ
brj-23798	180	10	39dp	39dp	ADJ
brj-23798	180	11	-	-	PUNCT
brj-23798	180	12	rp	rp	ADJ
brj-23798	180	13	model	model	NOUN
brj-23798	180	14	appears	appear	VERB
brj-23798	180	15	in	in	ADP
brj-23798	180	16	fig	fig	NOUN
brj-23798	180	17	.	.	PUNCT
brj-23798	181	1	5	5	NUM
brj-23798	182	1	and	and	CCONJ
brj-23798	182	2	is	be	AUX
brj-23798	182	3	separated	separate	VERB
brj-23798	182	4	into	into	ADP
brj-23798	182	5	four	four	NUM
brj-23798	182	6	regions	region	NOUN
brj-23798	182	7	by	by	ADP
brj-23798	182	8	blue	blue	ADJ
brj-23798	182	9	dotted	dot	VERB
brj-23798	182	10	lines	line	NOUN
brj-23798	182	11	,	,	PUNCT
brj-23798	182	12	which	which	PRON
brj-23798	182	13	delineate	delineate	VERB
brj-23798	182	14	the	the	DET
brj-23798	182	15	boundaries	boundary	NOUN
brj-23798	182	16	between	between	ADP
brj-23798	182	17	the	the	DET
brj-23798	182	18	two	two	NUM
brj-23798	182	19	porosity	porosity	NOUN
brj-23798	182	20	domains	domain	NOUN
brj-23798	182	21	on	on	ADP
brj-23798	182	22	the	the	DET
brj-23798	182	23	vertical	vertical	ADJ
brj-23798	182	24	and	and	CCONJ
brj-23798	182	25	horizontal	horizontal	ADJ
brj-23798	182	26	axes	axis	NOUN
brj-23798	182	27	.	.	PUNCT
brj-23798	183	1	the	the	DET
brj-23798	183	2	diffuse	diffuse	ADJ
brj-23798	183	3	-	-	PUNCT
brj-23798	183	4	porous	porous	ADJ
brj-23798	183	5	classes	class	NOUN
brj-23798	183	6	run	run	VERB
brj-23798	183	7	from	from	ADP
brj-23798	183	8	acerh	acerh	ADJ
brj-23798	183	9	to	to	ADP
brj-23798	183	10	tilia	tilia	NOUN
brj-23798	183	11	while	while	SCONJ
brj-23798	183	12	the	the	DET
brj-23798	183	13	ring	ring	NOUN
brj-23798	183	14	-	-	PUNCT
brj-23798	183	15	porous	porous	ADJ
brj-23798	183	16	classes	class	NOUN
brj-23798	183	17	run	run	VERB
brj-23798	183	18	from	from	ADP
brj-23798	183	19	asimina	asimina	NOUN
brj-23798	183	20	to	to	ADP
brj-23798	183	21	ulmuss	ulmuss	ADJ
brj-23798	183	22	.	.	PUNCT
brj-23798	184	1	counts	count	NOUN
brj-23798	184	2	in	in	ADP
brj-23798	184	3	the	the	DET
brj-23798	184	4	diagonal	diagonal	ADJ
brj-23798	184	5	represent	represent	VERB
brj-23798	184	6	correct	correct	ADJ
brj-23798	184	7	predictions	prediction	NOUN
brj-23798	184	8	.	.	PUNCT
brj-23798	185	1	off	off	ADP
brj-23798	185	2	-	-	PUNCT
brj-23798	185	3	diagonal	diagonal	ADJ
brj-23798	185	4	counts	count	NOUN
brj-23798	185	5	indicate	indicate	VERB
brj-23798	185	6	misidentifications	misidentification	NOUN
brj-23798	185	7	.	.	PUNCT
brj-23798	186	1	the	the	DET
brj-23798	186	2	upper	upper	ADJ
brj-23798	186	3	right	right	ADJ
brj-23798	186	4	region	region	NOUN
brj-23798	186	5	of	of	ADP
brj-23798	186	6	the	the	DET
brj-23798	186	7	matrix	matrix	NOUN
brj-23798	186	8	is	be	AUX
brj-23798	186	9	populated	populate	VERB
brj-23798	186	10	by	by	ADP
brj-23798	186	11	three	three	NUM
brj-23798	186	12	cross	cross	ADJ
brj-23798	186	13	-	-	ADJ
brj-23798	186	14	domain	domain	ADJ
brj-23798	186	15	prediction	prediction	NOUN
brj-23798	186	16	errors	error	NOUN
brj-23798	186	17	representing	represent	VERB
brj-23798	186	18	three	three	NUM
brj-23798	186	19	different	different	ADJ
brj-23798	186	20	diffuse	diffuse	NOUN
brj-23798	186	21	-	-	PUNCT
brj-23798	186	22	porous	porous	ADJ
brj-23798	186	23	specimens	specimen	NOUN
brj-23798	186	24	misclassified	misclassifie	VERB
brj-23798	186	25	as	as	ADP
brj-23798	186	26	three	three	NUM
brj-23798	186	27	different	different	ADJ
brj-23798	186	28	ring	ring	NOUN
brj-23798	186	29	-	-	PUNCT
brj-23798	186	30	porous	porous	ADJ
brj-23798	186	31	woods	wood	NOUN
brj-23798	186	32	.	.	PUNCT
brj-23798	187	1	in	in	ADP
brj-23798	187	2	contrast	contrast	NOUN
brj-23798	187	3	,	,	PUNCT
brj-23798	187	4	the	the	DET
brj-23798	187	5	lower	low	ADJ
brj-23798	187	6	left	left	ADJ
brj-23798	187	7	region	region	NOUN
brj-23798	187	8	contains	contain	VERB
brj-23798	187	9	no	no	DET
brj-23798	187	10	crossdomain	crossdomain	ADJ
brj-23798	187	11	errors	error	NOUN
brj-23798	187	12	showing	show	VERB
brj-23798	187	13	that	that	SCONJ
brj-23798	187	14	none	none	NOUN
brj-23798	187	15	of	of	ADP
brj-23798	187	16	the	the	DET
brj-23798	187	17	ring	ring	NOUN
brj-23798	187	18	-	-	PUNCT
brj-23798	187	19	porous	porous	ADJ
brj-23798	187	20	woods	wood	NOUN
brj-23798	187	21	were	be	AUX
brj-23798	187	22	misclassified	misclassifie	VERB
brj-23798	187	23	as	as	ADP
brj-23798	187	24	diffuseporous	diffuseporous	ADJ
brj-23798	187	25	woods	wood	NOUN
brj-23798	187	26	.	.	PUNCT
brj-23798	188	1	off	off	ADP
brj-23798	188	2	-	-	PUNCT
brj-23798	188	3	diagonal	diagonal	ADJ
brj-23798	188	4	counts	count	NOUN
brj-23798	188	5	in	in	ADP
brj-23798	188	6	the	the	DET
brj-23798	188	7	upper	upper	ADJ
brj-23798	188	8	left	left	NOUN
brj-23798	188	9	and	and	CCONJ
brj-23798	188	10	lower	low	ADJ
brj-23798	188	11	right	right	ADJ
brj-23798	188	12	regions	region	NOUN
brj-23798	188	13	indicate	indicate	VERB
brj-23798	188	14	erroneous	erroneous	ADJ
brj-23798	188	15	predictions	prediction	NOUN
brj-23798	188	16	within	within	ADP
brj-23798	188	17	a	a	DET
brj-23798	188	18	porosity	porosity	NOUN
brj-23798	188	19	domain	domain	NOUN
brj-23798	188	20	.	.	PUNCT
brj-23798	189	1	peer	peer	NOUN
brj-23798	189	2	-	-	PUNCT
brj-23798	189	3	reviewed	review	VERB
brj-23798	189	4	article	article	NOUN
brj-23798	189	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	189	6	owens	owens	PROPN
brj-23798	189	7	et	et	PROPN
brj-23798	189	8	al	al	PROPN
brj-23798	189	9	.	.	PROPN
brj-23798	190	1	(	(	PUNCT
brj-23798	190	2	2024	2024	NUM
brj-23798	190	3	)	)	PUNCT
brj-23798	190	4	.	.	PUNCT
brj-23798	191	1	“	"	PUNCT
brj-23798	191	2	computer	computer	NOUN
brj-23798	191	3	-	-	PUNCT
brj-23798	191	4	vision	vision	NOUN
brj-23798	191	5	wood	wood	NOUN
brj-23798	191	6	id	id	NOUN
brj-23798	191	7	-	-	ADJ
brj-23798	191	8	ing	ing	ADJ
brj-23798	191	9	,	,	PUNCT
brj-23798	191	10	”	"	PUNCT
brj-23798	191	11	bioresources	bioresource	NOUN
brj-23798	191	12	19(4	19(4	NUM
brj-23798	191	13	)	)	PUNCT
brj-23798	191	14	,	,	PUNCT
brj-23798	191	15	9741	9741	NUM
brj-23798	191	16	-	-	SYM
brj-23798	191	17	9772	9772	NUM
brj-23798	191	18	.	.	PUNCT
brj-23798	192	1	9752	9752	NUM
brj-23798	192	2	table	table	NOUN
brj-23798	192	3	5	5	NUM
brj-23798	192	4	.	.	PUNCT
brj-23798	192	5	prediction	prediction	NOUN
brj-23798	192	6	errors	error	NOUN
brj-23798	192	7	and	and	CCONJ
brj-23798	192	8	accuracies	accuracy	NOUN
brj-23798	192	9	by	by	ADP
brj-23798	192	10	input	input	NOUN
brj-23798	192	11	class	class	NOUN
brj-23798	192	12	for	for	ADP
brj-23798	192	13	39dp	39dp	NOUN
brj-23798	192	14	-	-	PUNCT
brj-23798	192	15	rp	rp	NOUN
brj-23798	192	16	(	(	PUNCT
brj-23798	192	17	diffuseporous	diffuseporous	ADJ
brj-23798	192	18	portion	portion	NOUN
brj-23798	192	19	of	of	ADP
brj-23798	192	20	the	the	DET
brj-23798	192	21	dataset	dataset	NOUN
brj-23798	192	22	)	)	PUNCT
brj-23798	192	23	input	input	NOUN
brj-23798	192	24	class	class	NOUN
brj-23798	192	25	label	label	NOUN
brj-23798	192	26	specimen	speciman	NOUN
brj-23798	192	27	total	total	NOUN
brj-23798	192	28	count	count	NOUN
brj-23798	192	29	count	count	NOUN
brj-23798	192	30	missed	miss	VERB
brj-23798	192	31	%	%	NOUN
brj-23798	192	32	missed	miss	VERB
brj-23798	192	33	mistaken	mistaken	ADJ
brj-23798	192	34	classes	class	NOUN
brj-23798	192	35	(	(	PUNCT
brj-23798	192	36	count	count	NOUN
brj-23798	192	37	)	)	PUNCT
brj-23798	192	38	count	count	NOUN
brj-23798	192	39	correct	correct	ADJ
brj-23798	192	40	%	%	NOUN
brj-23798	192	41	accurate	accurate	ADJ
brj-23798	192	42	acerh	acerh	NOUN
brj-23798	192	43	9	9	NUM
brj-23798	192	44	0	0	NUM
brj-23798	192	45	0.0	0.0	NUM
brj-23798	192	46	-9	-9	NUM
brj-23798	192	47	100.0	100.0	NUM
brj-23798	192	48	acers	acer	NOUN
brj-23798	192	49	18	18	NUM
brj-23798	192	50	4	4	NUM
brj-23798	192	51	22.2	22.2	NUM
brj-23798	192	52	acerh	acerh	NOUN
brj-23798	192	53	(	(	PUNCT
brj-23798	192	54	3	3	NUM
brj-23798	192	55	)	)	PUNCT
brj-23798	192	56	carpinus	carpinus	NOUN
brj-23798	192	57	(	(	PUNCT
brj-23798	192	58	1	1	NUM
brj-23798	192	59	)	)	PUNCT
brj-23798	192	60	14	14	NUM
brj-23798	192	61	77.8	77.8	NUM
brj-23798	192	62	aesculus	aesculus	NOUN
brj-23798	192	63	6	6	NUM
brj-23798	192	64	0	0	NUM
brj-23798	192	65	0.0	0.0	NUM
brj-23798	192	66	-6	-6	NOUN
brj-23798	192	67	100.0	100.0	NUM
brj-23798	192	68	alnus	alnus	NOUN
brj-23798	192	69	8	8	NUM
brj-23798	192	70	3	3	NUM
brj-23798	192	71	37.5	37.5	NUM
brj-23798	192	72	ostrya	ostrya	NOUN
brj-23798	192	73	(	(	PUNCT
brj-23798	192	74	2	2	X
brj-23798	192	75	)	)	PUNCT
brj-23798	192	76	populus	populus	NOUN
brj-23798	192	77	(	(	PUNCT
brj-23798	192	78	1	1	NUM
brj-23798	192	79	)	)	PUNCT
brj-23798	192	80	5	5	NUM
brj-23798	192	81	62.5	62.5	NUM
brj-23798	192	82	arbutus	arbutus	NOUN
brj-23798	192	83	9	9	NUM
brj-23798	192	84	2	2	NUM
brj-23798	192	85	22.2	22.2	NUM
brj-23798	192	86	fruitwood	fruitwood	ADJ
brj-23798	192	87	(	(	PUNCT
brj-23798	192	88	1	1	NUM
brj-23798	192	89	)	)	PUNCT
brj-23798	192	90	nyssa	nyssa	NOUN
brj-23798	192	91	(	(	PUNCT
brj-23798	192	92	1	1	NUM
brj-23798	192	93	)	)	PUNCT
brj-23798	192	94	7	7	NUM
brj-23798	192	95	77.8	77.8	NUM
brj-23798	192	96	betula	betula	NOUN
brj-23798	192	97	33	33	NUM
brj-23798	192	98	8	8	NUM
brj-23798	192	99	24.2	24.2	NUM
brj-23798	192	100	salix	salix	NOUN
brj-23798	192	101	(	(	PUNCT
brj-23798	192	102	4	4	NUM
brj-23798	192	103	)	)	PUNCT
brj-23798	192	104	populus	populus	NOUN
brj-23798	192	105	(	(	PUNCT
brj-23798	192	106	2	2	NUM
brj-23798	192	107	)	)	PUNCT
brj-23798	192	108	acers	acer	NOUN
brj-23798	192	109	(	(	PUNCT
brj-23798	192	110	1	1	NUM
brj-23798	192	111	)	)	PUNCT
brj-23798	192	112	*	*	PUNCT
brj-23798	193	1	robinia	robinia	NOUN
brj-23798	193	2	(	(	PUNCT
brj-23798	193	3	1	1	NUM
brj-23798	193	4	)	)	PUNCT
brj-23798	193	5	25	25	NUM
brj-23798	193	6	75.8	75.8	NUM
brj-23798	193	7	carpinus	carpinus	NOUN
brj-23798	193	8	9	9	NUM
brj-23798	193	9	0	0	NUM
brj-23798	193	10	0.0	0.0	NUM
brj-23798	193	11	-9	-9	NUM
brj-23798	193	12	100.0	100.0	NUM
brj-23798	193	13	fagus	fagus	NOUN
brj-23798	193	14	13	13	NUM
brj-23798	193	15	0	0	NUM
brj-23798	193	16	0.0	0.0	NUM
brj-23798	193	17	-13	-13	SYM
brj-23798	193	18	100.0	100.0	NUM
brj-23798	193	19	frangula	frangula	NOUN
brj-23798	193	20	1	1	NUM
brj-23798	193	21	1	1	NUM
brj-23798	193	22	100.0	100.0	NUM
brj-23798	193	23	nyssa	nyssa	NOUN
brj-23798	193	24	(	(	PUNCT
brj-23798	193	25	1	1	NUM
brj-23798	193	26	)	)	PUNCT
brj-23798	193	27	0	0	NUM
brj-23798	194	1	0.0	0.0	NUM
brj-23798	194	2	fruitwood	fruitwood	ADJ
brj-23798	194	3	32	32	NUM
brj-23798	194	4	2	2	NUM
brj-23798	194	5	6.2	6.2	NUM
brj-23798	194	6	nyssa	nyssa	NOUN
brj-23798	194	7	(	(	PUNCT
brj-23798	194	8	1	1	NUM
brj-23798	194	9	)	)	PUNCT
brj-23798	194	10	*	*	PUNCT
brj-23798	194	11	ulmush	ulmush	ADJ
brj-23798	194	12	(	(	PUNCT
brj-23798	194	13	1	1	NUM
brj-23798	194	14	)	)	PUNCT
brj-23798	194	15	30	30	NUM
brj-23798	194	16	93.8	93.8	NUM
brj-23798	194	17	liquidambar	liquidambar	NOUN
brj-23798	194	18	10	10	NUM
brj-23798	194	19	9	9	NUM
brj-23798	194	20	90	90	NUM
brj-23798	194	21	nyssa	nyssa	NOUN
brj-23798	194	22	(	(	PUNCT
brj-23798	194	23	9	9	NUM
brj-23798	194	24	)	)	SYM
brj-23798	194	25	1	1	NUM
brj-23798	194	26	10.0	10.0	NUM
brj-23798	194	27	liriodendron	liriodendron	NOUN
brj-23798	194	28	14	14	NUM
brj-23798	194	29	2	2	NUM
brj-23798	194	30	14.3	14.3	NUM
brj-23798	194	31	nyssa	nyssa	NOUN
brj-23798	194	32	(	(	PUNCT
brj-23798	194	33	2	2	NUM
brj-23798	194	34	)	)	PUNCT
brj-23798	194	35	12	12	NUM
brj-23798	194	36	85.7	85.7	NUM
brj-23798	194	37	magnolia	magnolia	NOUN
brj-23798	194	38	25	25	NUM
brj-23798	194	39	17	17	NUM
brj-23798	194	40	68.0	68.0	NUM
brj-23798	194	41	arbutus	arbutus	NOUN
brj-23798	194	42	(	(	PUNCT
brj-23798	194	43	7	7	X
brj-23798	194	44	)	)	PUNCT
brj-23798	194	45	nyssa	nyssa	NOUN
brj-23798	194	46	(	(	PUNCT
brj-23798	194	47	7	7	X
brj-23798	194	48	)	)	PUNCT
brj-23798	194	49	populus	populus	NOUN
brj-23798	194	50	(	(	PUNCT
brj-23798	194	51	1	1	NUM
brj-23798	194	52	)	)	PUNCT
brj-23798	194	53	prunus	prunus	NOUN
brj-23798	194	54	(	(	PUNCT
brj-23798	194	55	1	1	NUM
brj-23798	194	56	)	)	PUNCT
brj-23798	194	57	*	*	PUNCT
brj-23798	194	58	castanea	castanea	PROPN
brj-23798	194	59	(	(	PUNCT
brj-23798	194	60	1	1	NUM
brj-23798	194	61	)	)	PUNCT
brj-23798	194	62	8	8	NUM
brj-23798	194	63	32.0	32.0	NUM
brj-23798	194	64	nyssa	nyssa	NOUN
brj-23798	194	65	23	23	NUM
brj-23798	194	66	0	0	NUM
brj-23798	194	67	0.0	0.0	NUM
brj-23798	194	68	-23	-23	NUM
brj-23798	194	69	100.0	100.0	NUM
brj-23798	194	70	ostrya	ostrya	NOUN
brj-23798	194	71	2	2	NUM
brj-23798	194	72	0	0	NUM
brj-23798	194	73	0.0	0.0	NUM
brj-23798	194	74	-2	-2	NOUN
brj-23798	194	75	100.0	100.0	NUM
brj-23798	194	76	oxydendrum	oxydendrum	NOUN
brj-23798	194	77	9	9	NUM
brj-23798	194	78	2	2	NUM
brj-23798	194	79	22.2	22.2	NUM
brj-23798	194	80	fruitwood	fruitwood	ADJ
brj-23798	194	81	(	(	PUNCT
brj-23798	194	82	1	1	NUM
brj-23798	194	83	)	)	PUNCT
brj-23798	194	84	nyssa	nyssa	NOUN
brj-23798	194	85	(	(	PUNCT
brj-23798	194	86	1	1	NUM
brj-23798	194	87	)	)	PUNCT
brj-23798	194	88	7	7	NUM
brj-23798	194	89	77.8	77.8	NUM
brj-23798	194	90	platanus	platanus	NOUN
brj-23798	194	91	3	3	NUM
brj-23798	194	92	1	1	NUM
brj-23798	194	93	33.3	33.3	NUM
brj-23798	194	94	fagus	fagus	NOUN
brj-23798	194	95	(	(	PUNCT
brj-23798	194	96	1	1	NUM
brj-23798	194	97	)	)	PUNCT
brj-23798	194	98	2	2	NUM
brj-23798	194	99	66.7	66.7	NUM
brj-23798	194	100	populus	populus	NOUN
brj-23798	194	101	26	26	NUM
brj-23798	194	102	1	1	NUM
brj-23798	194	103	3.8	3.8	NUM
brj-23798	194	104	alnus	alnus	NOUN
brj-23798	194	105	(	(	PUNCT
brj-23798	194	106	1	1	NUM
brj-23798	194	107	)	)	PUNCT
brj-23798	194	108	25	25	NUM
brj-23798	194	109	96.2	96.2	NUM
brj-23798	194	110	prunus	prunus	NOUN
brj-23798	194	111	16	16	NUM
brj-23798	194	112	6	6	NUM
brj-23798	194	113	37.5	37.5	NUM
brj-23798	194	114	salix	salix	NOUN
brj-23798	194	115	(	(	PUNCT
brj-23798	194	116	4	4	NUM
brj-23798	194	117	)	)	PUNCT
brj-23798	194	118	fruitwood	fruitwood	NOUN
brj-23798	194	119	(	(	PUNCT
brj-23798	194	120	2	2	NUM
brj-23798	194	121	)	)	PUNCT
brj-23798	194	122	10	10	NUM
brj-23798	194	123	62.5	62.5	NUM
brj-23798	194	124	rhamnus	rhamnus	NOUN
brj-23798	194	125	2	2	NUM
brj-23798	194	126	0	0	NUM
brj-23798	194	127	0.0	0.0	NUM
brj-23798	194	128	-2	-2	NOUN
brj-23798	194	129	100.0	100.0	NUM
brj-23798	194	130	salix	salix	NOUN
brj-23798	194	131	13	13	NUM
brj-23798	194	132	0	0	NUM
brj-23798	194	133	0.0	0.0	NUM
brj-23798	194	134	-13	-13	SYM
brj-23798	194	135	100.0	100.0	NUM
brj-23798	194	136	tilia	tilia	NOUN
brj-23798	194	137	3	3	NUM
brj-23798	194	138	1	1	NUM
brj-23798	194	139	33.3	33.3	NUM
brj-23798	194	140	nyssa	nyssa	NOUN
brj-23798	194	141	(	(	PUNCT
brj-23798	194	142	1	1	NUM
brj-23798	194	143	)	)	PUNCT
brj-23798	194	144	2	2	NUM
brj-23798	194	145	66.7	66.7	NUM
brj-23798	194	146	class	class	NOUN
brj-23798	194	147	labels	label	NOUN
brj-23798	194	148	marked	mark	VERB
brj-23798	194	149	with	with	ADP
brj-23798	194	150	an	an	DET
brj-23798	194	151	asterisk	asterisk	NOUN
brj-23798	194	152	(	(	PUNCT
brj-23798	194	153	*	*	PUNCT
brj-23798	194	154	)	)	PUNCT
brj-23798	194	155	indicate	indicate	VERB
brj-23798	194	156	cross	cross	ADJ
brj-23798	194	157	-	-	ADJ
brj-23798	194	158	domain	domain	ADJ
brj-23798	194	159	misclassifications	misclassification	NOUN
brj-23798	194	160	for	for	ADP
brj-23798	194	161	porosity	porosity	NOUN
brj-23798	194	162	.	.	PUNCT
brj-23798	195	1	class	class	NOUN
brj-23798	195	2	labels	label	NOUN
brj-23798	195	3	highlighted	highlight	VERB
brj-23798	195	4	in	in	ADP
brj-23798	195	5	black	black	ADJ
brj-23798	195	6	indicate	indicate	NOUN
brj-23798	195	7	classes	class	NOUN
brj-23798	195	8	for	for	ADP
brj-23798	195	9	which	which	PRON
brj-23798	195	10	the	the	DET
brj-23798	195	11	domain	domain	NOUN
brj-23798	195	12	-	-	PUNCT
brj-23798	195	13	based	base	VERB
brj-23798	195	14	22dp	22dp	PROPN
brj-23798	195	15	model	model	NOUN
brj-23798	195	16	(	(	PUNCT
brj-23798	195	17	from	from	ADP
brj-23798	195	18	ravidran	ravidran	PROPN
brj-23798	195	19	et	et	PROPN
brj-23798	195	20	al	al	PROPN
brj-23798	195	21	.	.	PROPN
brj-23798	195	22	2022a	2022a	NUM
brj-23798	195	23	)	)	PUNCT
brj-23798	195	24	classified	classify	VERB
brj-23798	195	25	all	all	DET
brj-23798	195	26	specimens	specimen	NOUN
brj-23798	195	27	correctly	correctly	ADV
brj-23798	195	28	but	but	CCONJ
brj-23798	195	29	for	for	ADP
brj-23798	195	30	which	which	PRON
brj-23798	195	31	the	the	DET
brj-23798	195	32	consolidated	consolidated	ADJ
brj-23798	195	33	39dprp	39dprp	PROPN
brj-23798	195	34	model	model	NOUN
brj-23798	195	35	misclassified	misclassifie	VERB
brj-23798	195	36	at	at	ADP
brj-23798	195	37	least	least	ADV
brj-23798	195	38	one	one	NUM
brj-23798	195	39	specimen	speciman	NOUN
brj-23798	195	40	.	.	PUNCT
brj-23798	196	1	class	class	NOUN
brj-23798	196	2	labels	label	NOUN
brj-23798	196	3	in	in	ADP
brj-23798	196	4	gray	gray	ADJ
brj-23798	196	5	indicate	indicate	VERB
brj-23798	196	6	the	the	DET
brj-23798	196	7	opposite	opposite	NOUN
brj-23798	196	8	:	:	PUNCT
brj-23798	196	9	the	the	DET
brj-23798	196	10	domain	domain	NOUN
brj-23798	196	11	-	-	PUNCT
brj-23798	196	12	based	base	VERB
brj-23798	196	13	22dp	22dp	NOUN
brj-23798	196	14	model	model	NOUN
brj-23798	196	15	misclassified	misclassifie	VERB
brj-23798	196	16	at	at	ADP
brj-23798	196	17	least	least	ADV
brj-23798	196	18	one	one	NUM
brj-23798	196	19	specimen	speciman	NOUN
brj-23798	196	20	while	while	SCONJ
brj-23798	196	21	the	the	DET
brj-23798	196	22	consolidated	consolidated	ADJ
brj-23798	196	23	39dprp	39dprp	PROPN
brj-23798	196	24	model	model	NOUN
brj-23798	196	25	classified	classify	VERB
brj-23798	196	26	all	all	DET
brj-23798	196	27	specimens	specimen	NOUN
brj-23798	196	28	correctly	correctly	ADV
brj-23798	196	29	.	.	PUNCT
brj-23798	197	1	peer	peer	NOUN
brj-23798	197	2	-	-	PUNCT
brj-23798	197	3	reviewed	review	VERB
brj-23798	197	4	article	article	NOUN
brj-23798	197	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	197	6	owens	owens	PROPN
brj-23798	197	7	et	et	PROPN
brj-23798	197	8	al	al	PROPN
brj-23798	197	9	.	.	PROPN
brj-23798	198	1	(	(	PUNCT
brj-23798	198	2	2024	2024	NUM
brj-23798	198	3	)	)	PUNCT
brj-23798	198	4	.	.	PUNCT
brj-23798	199	1	“	"	PUNCT
brj-23798	199	2	computer	computer	NOUN
brj-23798	199	3	-	-	PUNCT
brj-23798	199	4	vision	vision	NOUN
brj-23798	199	5	wood	wood	NOUN
brj-23798	199	6	id	id	NOUN
brj-23798	199	7	-	-	ADJ
brj-23798	199	8	ing	ing	ADJ
brj-23798	199	9	,	,	PUNCT
brj-23798	199	10	”	"	PUNCT
brj-23798	199	11	bioresources	bioresource	NOUN
brj-23798	199	12	19(4	19(4	NUM
brj-23798	199	13	)	)	PUNCT
brj-23798	199	14	,	,	PUNCT
brj-23798	199	15	9741	9741	NUM
brj-23798	199	16	-	-	SYM
brj-23798	199	17	9772	9772	NUM
brj-23798	199	18	.	.	PUNCT
brj-23798	199	19	9753	9753	NUM
brj-23798	199	20	table	table	NOUN
brj-23798	199	21	6	6	NUM
brj-23798	199	22	.	.	PUNCT
brj-23798	199	23	prediction	prediction	NOUN
brj-23798	199	24	errors	error	NOUN
brj-23798	199	25	and	and	CCONJ
brj-23798	199	26	accuracies	accuracy	NOUN
brj-23798	199	27	by	by	ADP
brj-23798	199	28	input	input	NOUN
brj-23798	199	29	class	class	NOUN
brj-23798	199	30	for	for	ADP
brj-23798	199	31	39dp	39dp	NOUN
brj-23798	199	32	-	-	PUNCT
brj-23798	199	33	rp	rp	NOUN
brj-23798	199	34	(	(	PUNCT
brj-23798	199	35	ringporous	ringporous	ADJ
brj-23798	199	36	portion	portion	NOUN
brj-23798	199	37	of	of	ADP
brj-23798	199	38	the	the	DET
brj-23798	199	39	dataset	dataset	NOUN
brj-23798	199	40	)	)	PUNCT
brj-23798	199	41	input	input	NOUN
brj-23798	199	42	class	class	NOUN
brj-23798	199	43	label	label	NOUN
brj-23798	199	44	specimen	speciman	NOUN
brj-23798	199	45	total	total	NOUN
brj-23798	199	46	count	count	NOUN
brj-23798	199	47	count	count	NOUN
brj-23798	199	48	missed	miss	VERB
brj-23798	199	49	%	%	NOUN
brj-23798	199	50	missed	miss	VERB
brj-23798	199	51	mistaken	mistaken	ADJ
brj-23798	199	52	classes	class	NOUN
brj-23798	199	53	(	(	PUNCT
brj-23798	199	54	count	count	NOUN
brj-23798	199	55	)	)	PUNCT
brj-23798	199	56	count	count	NOUN
brj-23798	199	57	correct	correct	ADJ
brj-23798	199	58	%	%	NOUN
brj-23798	199	59	accurate	accurate	ADJ
brj-23798	199	60	asimina	asimina	NOUN
brj-23798	199	61	3	3	NUM
brj-23798	199	62	0	0	NUM
brj-23798	199	63	0.0	0.0	NUM
brj-23798	199	64	-3	-3	SYM
brj-23798	199	65	100.0	100.0	NUM
brj-23798	199	66	carya	carya	NOUN
brj-23798	199	67	45	45	NUM
brj-23798	199	68	1	1	NUM
brj-23798	199	69	2.2	2.2	NUM
brj-23798	199	70	gleditsia	gleditsia	NOUN
brj-23798	199	71	(	(	PUNCT
brj-23798	199	72	1	1	NUM
brj-23798	199	73	)	)	PUNCT
brj-23798	199	74	44	44	NUM
brj-23798	199	75	97.8	97.8	NUM
brj-23798	199	76	castanea	castanea	NOUN
brj-23798	199	77	2	2	NUM
brj-23798	199	78	0	0	NUM
brj-23798	199	79	0.0	0.0	NUM
brj-23798	199	80	-2	-2	NOUN
brj-23798	199	81	100.0	100.0	NUM
brj-23798	199	82	catalpa	catalpa	NOUN
brj-23798	199	83	4	4	NUM
brj-23798	199	84	0	0	NUM
brj-23798	199	85	0.0	0.0	NUM
brj-23798	199	86	-4	-4	NUM
brj-23798	199	87	100.0	100.0	NUM
brj-23798	199	88	celtis	celtis	PROPN
brj-23798	199	89	3	3	NUM
brj-23798	199	90	0	0	NUM
brj-23798	199	91	0.0	0.0	NUM
brj-23798	199	92	-3	-3	SYM
brj-23798	199	93	100.0	100.0	NUM
brj-23798	199	94	cladrastis	cladrastis	NOUN
brj-23798	199	95	4	4	NUM
brj-23798	199	96	2	2	NUM
brj-23798	199	97	50.0	50.0	NUM
brj-23798	199	98	fraxinus	fraxinus	NOUN
brj-23798	199	99	(	(	PUNCT
brj-23798	199	100	1	1	NUM
brj-23798	199	101	)	)	PUNCT
brj-23798	199	102	gymnocladus	gymnocladus	NOUN
brj-23798	199	103	(	(	PUNCT
brj-23798	199	104	1	1	NUM
brj-23798	199	105	)	)	SYM
brj-23798	199	106	2	2	NUM
brj-23798	199	107	50.0	50.0	NUM
brj-23798	199	108	fraxinus	fraxinus	NOUN
brj-23798	199	109	4	4	NUM
brj-23798	199	110	0	0	NUM
brj-23798	199	111	0.0	0.0	NUM
brj-23798	199	112	-4	-4	SYM
brj-23798	199	113	100.0	100.0	NUM
brj-23798	199	114	gleditsia	gleditsia	NOUN
brj-23798	199	115	7	7	NUM
brj-23798	199	116	1	1	NUM
brj-23798	199	117	14.3	14.3	NUM
brj-23798	199	118	gymnocladus	gymnocladus	NOUN
brj-23798	199	119	(	(	PUNCT
brj-23798	199	120	1	1	NUM
brj-23798	199	121	)	)	PUNCT
brj-23798	199	122	6	6	NUM
brj-23798	199	123	85.7	85.7	NUM
brj-23798	199	124	gymnocladus	gymnocladus	NOUN
brj-23798	199	125	2	2	NUM
brj-23798	199	126	0	0	NUM
brj-23798	199	127	0.0	0.0	NUM
brj-23798	199	128	-2	-2	NOUN
brj-23798	199	129	100.0	100.0	NUM
brj-23798	199	130	maclura	maclura	NOUN
brj-23798	199	131	3	3	NUM
brj-23798	199	132	1	1	NUM
brj-23798	199	133	33.3	33.3	NUM
brj-23798	199	134	robinia	robinia	NOUN
brj-23798	199	135	(	(	PUNCT
brj-23798	199	136	1	1	NUM
brj-23798	199	137	)	)	PUNCT
brj-23798	199	138	2	2	NUM
brj-23798	199	139	66.7	66.7	NUM
brj-23798	199	140	morus	morus	NOUN
brj-23798	199	141	5	5	NUM
brj-23798	199	142	1	1	NUM
brj-23798	199	143	20.0	20.0	NUM
brj-23798	199	144	gleditsia	gleditsia	NOUN
brj-23798	199	145	(	(	PUNCT
brj-23798	199	146	1	1	NUM
brj-23798	199	147	)	)	PUNCT
brj-23798	199	148	4	4	NUM
brj-23798	199	149	80.0	80.0	NUM
brj-23798	199	150	quercusr	quercusr	NOUN
brj-23798	199	151	41	41	NUM
brj-23798	199	152	2	2	NUM
brj-23798	199	153	4.9	4.9	NUM
brj-23798	199	154	quercusw	quercusw	NOUN
brj-23798	199	155	(	(	PUNCT
brj-23798	199	156	2	2	NUM
brj-23798	199	157	)	)	PUNCT
brj-23798	199	158	39	39	NUM
brj-23798	199	159	95.1	95.1	NUM
brj-23798	199	160	quercusw	quercusw	NOUN
brj-23798	199	161	55	55	NUM
brj-23798	199	162	5	5	NUM
brj-23798	199	163	9.1	9.1	NUM
brj-23798	199	164	quercusr	quercusr	NOUN
brj-23798	199	165	(	(	PUNCT
brj-23798	199	166	5	5	NUM
brj-23798	199	167	)	)	PUNCT
brj-23798	199	168	50	50	NUM
brj-23798	199	169	90.9	90.9	NUM
brj-23798	199	170	robinia	robinia	NOUN
brj-23798	199	171	6	6	NUM
brj-23798	199	172	0	0	NUM
brj-23798	199	173	0.0	0.0	NUM
brj-23798	199	174	-6	-6	NOUN
brj-23798	199	175	100.0	100.0	NUM
brj-23798	199	176	sassafras	sassafras	NOUN
brj-23798	199	177	3	3	NUM
brj-23798	199	178	0	0	NUM
brj-23798	199	179	0.0	0.0	NUM
brj-23798	199	180	-3	-3	SYM
brj-23798	199	181	100.0	100.0	NUM
brj-23798	199	182	ulmush	ulmush	NOUN
brj-23798	199	183	3	3	NUM
brj-23798	199	184	0	0	NUM
brj-23798	199	185	0.0	0.0	NUM
brj-23798	199	186	-3	-3	SYM
brj-23798	199	187	100.0	100.0	NUM
brj-23798	199	188	ulmuss	ulmuss	ADJ
brj-23798	199	189	8	8	NUM
brj-23798	199	190	4	4	NUM
brj-23798	199	191	50.0	50.0	NUM
brj-23798	199	192	ulmush	ulmush	NOUN
brj-23798	199	193	(	(	PUNCT
brj-23798	199	194	4	4	NUM
brj-23798	199	195	)	)	PUNCT
brj-23798	199	196	4	4	NUM
brj-23798	199	197	50.0	50.0	NUM
brj-23798	199	198	class	class	NOUN
brj-23798	199	199	labels	label	NOUN
brj-23798	199	200	marked	mark	VERB
brj-23798	199	201	with	with	ADP
brj-23798	199	202	an	an	DET
brj-23798	199	203	asterisk	asterisk	NOUN
brj-23798	199	204	(	(	PUNCT
brj-23798	199	205	*	*	PUNCT
brj-23798	199	206	)	)	PUNCT
brj-23798	199	207	indicate	indicate	VERB
brj-23798	199	208	cross	cross	ADJ
brj-23798	199	209	-	-	ADJ
brj-23798	199	210	domain	domain	ADJ
brj-23798	199	211	misclassifications	misclassification	NOUN
brj-23798	199	212	for	for	ADP
brj-23798	199	213	porosity	porosity	NOUN
brj-23798	199	214	.	.	PUNCT
brj-23798	200	1	class	class	NOUN
brj-23798	200	2	labels	label	NOUN
brj-23798	200	3	highlighted	highlight	VERB
brj-23798	200	4	in	in	ADP
brj-23798	200	5	black	black	ADJ
brj-23798	200	6	indicate	indicate	NOUN
brj-23798	200	7	classes	class	NOUN
brj-23798	200	8	for	for	ADP
brj-23798	200	9	which	which	PRON
brj-23798	200	10	the	the	DET
brj-23798	200	11	domain	domain	NOUN
brj-23798	200	12	-	-	PUNCT
brj-23798	200	13	based	base	VERB
brj-23798	200	14	17rp	17rp	ADJ
brj-23798	200	15	model	model	NOUN
brj-23798	200	16	(	(	PUNCT
brj-23798	200	17	from	from	ADP
brj-23798	200	18	ravidran	ravidran	PROPN
brj-23798	200	19	et	et	PROPN
brj-23798	200	20	al	al	PROPN
brj-23798	200	21	.	.	PROPN
brj-23798	200	22	2022b	2022b	NUM
brj-23798	200	23	)	)	PUNCT
brj-23798	200	24	classified	classify	VERB
brj-23798	200	25	all	all	DET
brj-23798	200	26	specimens	specimen	NOUN
brj-23798	200	27	correctly	correctly	ADV
brj-23798	200	28	but	but	CCONJ
brj-23798	200	29	for	for	ADP
brj-23798	200	30	which	which	PRON
brj-23798	200	31	the	the	DET
brj-23798	200	32	consolidated	consolidated	ADJ
brj-23798	200	33	39dp	39dp	ADJ
brj-23798	200	34	-	-	PUNCT
brj-23798	200	35	rp	rp	ADJ
brj-23798	200	36	model	model	NOUN
brj-23798	200	37	misclassified	misclassifie	VERB
brj-23798	200	38	at	at	ADP
brj-23798	200	39	least	least	ADV
brj-23798	200	40	one	one	NUM
brj-23798	200	41	specimen	speciman	NOUN
brj-23798	200	42	.	.	PUNCT
brj-23798	201	1	class	class	NOUN
brj-23798	201	2	labels	label	NOUN
brj-23798	201	3	in	in	ADP
brj-23798	201	4	gray	gray	ADJ
brj-23798	201	5	indicate	indicate	VERB
brj-23798	201	6	the	the	DET
brj-23798	201	7	opposite	opposite	NOUN
brj-23798	201	8	:	:	PUNCT
brj-23798	201	9	the	the	DET
brj-23798	201	10	domain	domain	NOUN
brj-23798	201	11	-	-	PUNCT
brj-23798	201	12	based	base	VERB
brj-23798	201	13	17rp	17rp	ADJ
brj-23798	201	14	model	model	NOUN
brj-23798	201	15	misclassified	misclassifie	VERB
brj-23798	201	16	at	at	ADP
brj-23798	201	17	least	least	ADV
brj-23798	201	18	one	one	NUM
brj-23798	201	19	specimen	speciman	NOUN
brj-23798	201	20	while	while	SCONJ
brj-23798	201	21	the	the	DET
brj-23798	201	22	consolidated	consolidated	ADJ
brj-23798	201	23	39dp	39dp	ADJ
brj-23798	201	24	-	-	PUNCT
brj-23798	201	25	rp	rp	ADJ
brj-23798	201	26	model	model	NOUN
brj-23798	201	27	classified	classify	VERB
brj-23798	201	28	all	all	DET
brj-23798	201	29	specimens	specimen	NOUN
brj-23798	201	30	correctly	correctly	ADV
brj-23798	201	31	.	.	PUNCT
brj-23798	202	1	a	a	DET
brj-23798	202	2	breakdown	breakdown	NOUN
brj-23798	202	3	of	of	ADP
brj-23798	202	4	prediction	prediction	NOUN
brj-23798	202	5	errors	error	NOUN
brj-23798	202	6	and	and	CCONJ
brj-23798	202	7	accuracies	accuracy	NOUN
brj-23798	202	8	by	by	ADP
brj-23798	202	9	class	class	NOUN
brj-23798	202	10	appears	appear	VERB
brj-23798	202	11	in	in	ADP
brj-23798	202	12	tables	table	NOUN
brj-23798	202	13	5	5	NUM
brj-23798	202	14	and	and	CCONJ
brj-23798	202	15	6	6	NUM
brj-23798	202	16	.	.	X
brj-23798	202	17	class	class	NOUN
brj-23798	202	18	labels	label	NOUN
brj-23798	202	19	marked	mark	VERB
brj-23798	202	20	with	with	ADP
brj-23798	202	21	an	an	DET
brj-23798	202	22	asterisk	asterisk	NOUN
brj-23798	202	23	(	(	PUNCT
brj-23798	202	24	*	*	PUNCT
brj-23798	202	25	)	)	PUNCT
brj-23798	202	26	indicate	indicate	VERB
brj-23798	202	27	cross	cross	ADJ
brj-23798	202	28	-	-	ADJ
brj-23798	202	29	domain	domain	ADJ
brj-23798	202	30	misclassifications	misclassification	NOUN
brj-23798	202	31	for	for	ADP
brj-23798	202	32	porosity	porosity	NOUN
brj-23798	202	33	.	.	PUNCT
brj-23798	203	1	class	class	NOUN
brj-23798	203	2	labels	label	NOUN
brj-23798	203	3	highlighted	highlight	VERB
brj-23798	203	4	in	in	ADP
brj-23798	203	5	black	black	ADJ
brj-23798	203	6	indicate	indicate	NOUN
brj-23798	203	7	classes	class	NOUN
brj-23798	203	8	for	for	ADP
brj-23798	203	9	which	which	PRON
brj-23798	203	10	the	the	DET
brj-23798	203	11	domain	domain	NOUN
brj-23798	203	12	-	-	PUNCT
brj-23798	203	13	based	base	VERB
brj-23798	203	14	22dp	22dp	NOUN
brj-23798	203	15	or	or	CCONJ
brj-23798	203	16	17rp	17rp	ADJ
brj-23798	203	17	model	model	NOUN
brj-23798	203	18	(	(	PUNCT
brj-23798	203	19	from	from	ADP
brj-23798	203	20	ravidran	ravidran	PROPN
brj-23798	203	21	et	et	PROPN
brj-23798	203	22	al	al	PROPN
brj-23798	203	23	.	.	PROPN
brj-23798	203	24	2022a	2022a	NUM
brj-23798	203	25	,	,	PUNCT
brj-23798	203	26	b	b	X
brj-23798	203	27	)	)	PUNCT
brj-23798	203	28	classified	classify	VERB
brj-23798	203	29	all	all	DET
brj-23798	203	30	specimens	specimen	NOUN
brj-23798	203	31	correctly	correctly	ADV
brj-23798	203	32	but	but	CCONJ
brj-23798	203	33	for	for	ADP
brj-23798	203	34	which	which	PRON
brj-23798	203	35	the	the	DET
brj-23798	203	36	consolidated	consolidated	ADJ
brj-23798	203	37	39dp	39dp	ADJ
brj-23798	203	38	-	-	PUNCT
brj-23798	203	39	rp	rp	ADJ
brj-23798	203	40	model	model	NOUN
brj-23798	203	41	misclassified	misclassifie	VERB
brj-23798	203	42	at	at	ADP
brj-23798	203	43	least	least	ADV
brj-23798	203	44	one	one	NUM
brj-23798	203	45	specimen	speciman	NOUN
brj-23798	203	46	.	.	PUNCT
brj-23798	204	1	class	class	NOUN
brj-23798	204	2	labels	label	NOUN
brj-23798	204	3	in	in	ADP
brj-23798	204	4	gray	gray	ADJ
brj-23798	204	5	indicate	indicate	VERB
brj-23798	204	6	the	the	DET
brj-23798	204	7	opposite	opposite	NOUN
brj-23798	204	8	:	:	PUNCT
brj-23798	204	9	the	the	DET
brj-23798	204	10	domain	domain	NOUN
brj-23798	204	11	-	-	PUNCT
brj-23798	204	12	based	base	VERB
brj-23798	204	13	22dp	22dp	NOUN
brj-23798	204	14	or	or	CCONJ
brj-23798	204	15	17rp	17rp	ADJ
brj-23798	204	16	model	model	NOUN
brj-23798	204	17	misclassified	misclassifie	VERB
brj-23798	204	18	at	at	ADP
brj-23798	204	19	least	least	ADV
brj-23798	204	20	one	one	NUM
brj-23798	204	21	specimen	speciman	NOUN
brj-23798	204	22	while	while	SCONJ
brj-23798	204	23	the	the	DET
brj-23798	204	24	consolidated	consolidated	ADJ
brj-23798	204	25	39dp	39dp	ADJ
brj-23798	204	26	-	-	PUNCT
brj-23798	204	27	rp	rp	ADJ
brj-23798	204	28	model	model	NOUN
brj-23798	204	29	classified	classify	VERB
brj-23798	204	30	all	all	DET
brj-23798	204	31	specimens	specimen	NOUN
brj-23798	204	32	correctly	correctly	ADV
brj-23798	204	33	.	.	PUNCT
brj-23798	205	1	42	42	NUM
brj-23798	205	2	-	-	PUNCT
brj-23798	205	3	class	class	NOUN
brj-23798	205	4	consolidated	consolidated	ADJ
brj-23798	205	5	model	model	NOUN
brj-23798	205	6	the	the	DET
brj-23798	205	7	top-1	top-1	PUNCT
brj-23798	205	8	predictive	predictive	ADJ
brj-23798	205	9	accuracy	accuracy	NOUN
brj-23798	205	10	for	for	ADP
brj-23798	205	11	the	the	DET
brj-23798	205	12	consolidated	consolidated	ADJ
brj-23798	205	13	42	42	NUM
brj-23798	205	14	-	-	PUNCT
brj-23798	205	15	class	class	NOUN
brj-23798	205	16	consolidated	consolidated	ADJ
brj-23798	205	17	model	model	NOUN
brj-23798	205	18	(	(	PUNCT
brj-23798	205	19	42dp	42dp	NOUN
brj-23798	205	20	-	-	PUNCT
brj-23798	205	21	rp	rp	NOUN
brj-23798	205	22	-	-	PUNCT
brj-23798	205	23	srp	srp	NOUN
brj-23798	205	24	)	)	PUNCT
brj-23798	205	25	was	be	AUX
brj-23798	205	26	77.1	77.1	NUM
brj-23798	205	27	%	%	NOUN
brj-23798	205	28	.	.	PUNCT
brj-23798	206	1	broken	break	VERB
brj-23798	206	2	down	down	ADP
brj-23798	206	3	by	by	ADP
brj-23798	206	4	porosity	porosity	NOUN
brj-23798	206	5	domain	domain	NOUN
brj-23798	206	6	,	,	PUNCT
brj-23798	206	7	the	the	DET
brj-23798	206	8	predictive	predictive	ADJ
brj-23798	206	9	accuracy	accuracy	NOUN
brj-23798	206	10	for	for	ADP
brj-23798	206	11	diffuse	diffuse	NOUN
brj-23798	206	12	-	-	PUNCT
brj-23798	206	13	porous	porous	ADJ
brj-23798	206	14	woods	wood	NOUN
brj-23798	206	15	is	be	AUX
brj-23798	206	16	69.7	69.7	NUM
brj-23798	206	17	%	%	NOUN
brj-23798	206	18	and	and	CCONJ
brj-23798	206	19	for	for	ADP
brj-23798	206	20	ring	ring	NOUN
brj-23798	206	21	-	-	PUNCT
brj-23798	206	22	porous	porous	ADJ
brj-23798	206	23	woods	wood	NOUN
brj-23798	206	24	is	be	AUX
brj-23798	206	25	83.9	83.9	NUM
brj-23798	206	26	%	%	NOUN
brj-23798	206	27	,	,	PUNCT
brj-23798	206	28	and	and	CCONJ
brj-23798	206	29	for	for	ADP
brj-23798	206	30	semi	semi	ADJ
brj-23798	206	31	-	-	ADJ
brj-23798	206	32	ringporous	ringporous	ADJ
brj-23798	206	33	woods	wood	NOUN
brj-23798	206	34	is	be	AUX
brj-23798	206	35	100	100	NUM
brj-23798	206	36	%	%	NOUN
brj-23798	206	37	(	(	PUNCT
brj-23798	206	38	fig	fig	NOUN
brj-23798	206	39	.	.	PUNCT
brj-23798	207	1	6	6	NUM
brj-23798	207	2	,	,	PUNCT
brj-23798	207	3	tables	table	NOUN
brj-23798	207	4	7	7	NUM
brj-23798	207	5	,	,	PUNCT
brj-23798	207	6	8)	8)	NUM
brj-23798	207	7	.	.	PUNCT
brj-23798	208	1	the	the	DET
brj-23798	208	2	confusion	confusion	NOUN
brj-23798	208	3	matrix	matrix	NOUN
brj-23798	208	4	for	for	ADP
brj-23798	208	5	the	the	DET
brj-23798	208	6	consolidated	consolidated	ADJ
brj-23798	208	7	42dp	42dp	PROPN
brj-23798	208	8	-	-	PUNCT
brj-23798	208	9	rp	rp	NOUN
brj-23798	208	10	-	-	PUNCT
brj-23798	208	11	srp	srp	NOUN
brj-23798	208	12	model	model	NOUN
brj-23798	208	13	appears	appear	VERB
brj-23798	208	14	in	in	ADP
brj-23798	208	15	fig	fig	NOUN
brj-23798	208	16	.	.	PUNCT
brj-23798	209	1	6	6	NUM
brj-23798	210	1	and	and	CCONJ
brj-23798	210	2	is	be	AUX
brj-23798	210	3	separated	separate	VERB
brj-23798	210	4	into	into	ADP
brj-23798	210	5	nine	nine	NUM
brj-23798	210	6	regions	region	NOUN
brj-23798	210	7	by	by	ADP
brj-23798	210	8	blue	blue	ADJ
brj-23798	210	9	dotted	dot	VERB
brj-23798	210	10	lines	line	NOUN
brj-23798	210	11	,	,	PUNCT
brj-23798	210	12	which	which	PRON
brj-23798	210	13	delineate	delineate	VERB
brj-23798	210	14	the	the	DET
brj-23798	210	15	boundaries	boundary	NOUN
brj-23798	210	16	between	between	ADP
brj-23798	210	17	the	the	DET
brj-23798	210	18	three	three	NUM
brj-23798	210	19	porosity	porosity	NOUN
brj-23798	210	20	domains	domain	NOUN
brj-23798	210	21	on	on	ADP
brj-23798	210	22	the	the	DET
brj-23798	210	23	vertical	vertical	ADJ
brj-23798	210	24	and	and	CCONJ
brj-23798	210	25	horizontal	horizontal	ADJ
brj-23798	210	26	axes	axis	NOUN
brj-23798	210	27	.	.	PUNCT
brj-23798	211	1	the	the	DET
brj-23798	211	2	diffuse	diffuse	ADV
brj-23798	211	3	-	-	PUNCT
brj-23798	211	4	porous	porous	ADJ
brj-23798	211	5	woods	wood	NOUN
brj-23798	211	6	run	run	VERB
brj-23798	211	7	from	from	ADP
brj-23798	211	8	acerh	acerh	ADJ
brj-23798	211	9	to	to	ADP
brj-23798	211	10	tilia	tilia	PROPN
brj-23798	211	11	,	,	PUNCT
brj-23798	211	12	the	the	DET
brj-23798	211	13	semi	semi	ADJ
brj-23798	211	14	-	-	ADJ
brj-23798	211	15	ring	ring	ADJ
brj-23798	211	16	-	-	PUNCT
brj-23798	211	17	porous	porous	ADJ
brj-23798	211	18	woods	wood	NOUN
brj-23798	211	19	from	from	ADP
brj-23798	211	20	diospyros	diospyro	NOUN
brj-23798	211	21	to	to	PART
brj-23798	211	22	juglansn	juglansn	PROPN
brj-23798	211	23	,	,	PUNCT
brj-23798	211	24	and	and	CCONJ
brj-23798	211	25	the	the	DET
brj-23798	211	26	ring	ring	NOUN
brj-23798	211	27	-	-	PUNCT
brj-23798	211	28	porous	porous	ADJ
brj-23798	211	29	woods	wood	NOUN
brj-23798	211	30	from	from	ADP
brj-23798	211	31	asimina	asimina	NOUN
brj-23798	211	32	to	to	ADP
brj-23798	211	33	ulmuss	ulmuss	ADJ
brj-23798	211	34	.	.	PUNCT
brj-23798	212	1	counts	count	NOUN
brj-23798	212	2	in	in	ADP
brj-23798	212	3	the	the	DET
brj-23798	212	4	diagonal	diagonal	ADJ
brj-23798	212	5	represent	represent	VERB
brj-23798	212	6	correct	correct	ADJ
brj-23798	212	7	predictions	prediction	NOUN
brj-23798	212	8	.	.	PUNCT
brj-23798	213	1	off	off	ADP
brj-23798	213	2	-	-	PUNCT
brj-23798	213	3	diagonal	diagonal	ADJ
brj-23798	213	4	counts	count	NOUN
brj-23798	213	5	indicate	indicate	VERB
brj-23798	213	6	misclassifications	misclassification	NOUN
brj-23798	213	7	.	.	PUNCT
brj-23798	214	1	the	the	DET
brj-23798	214	2	upper	upper	ADJ
brj-23798	214	3	right	right	ADJ
brj-23798	214	4	region	region	NOUN
brj-23798	214	5	of	of	ADP
brj-23798	214	6	the	the	DET
brj-23798	214	7	matrix	matrix	NOUN
brj-23798	214	8	is	be	AUX
brj-23798	214	9	populated	populate	VERB
brj-23798	214	10	by	by	ADP
brj-23798	214	11	seven	seven	NUM
brj-23798	214	12	cross	cross	ADJ
brj-23798	214	13	-	-	ADJ
brj-23798	214	14	domain	domain	ADJ
brj-23798	214	15	prediction	prediction	NOUN
brj-23798	214	16	errors	error	NOUN
brj-23798	214	17	representing	represent	VERB
brj-23798	214	18	five	five	NUM
brj-23798	214	19	different	different	ADJ
brj-23798	214	20	diffuse	diffuse	NOUN
brj-23798	214	21	-	-	PUNCT
brj-23798	214	22	porous	porous	ADJ
brj-23798	214	23	woods	wood	NOUN
brj-23798	214	24	misclassified	misclassifie	VERB
brj-23798	214	25	as	as	ADP
brj-23798	214	26	three	three	NUM
brj-23798	214	27	different	different	ADJ
brj-23798	214	28	ring	ring	NOUN
brj-23798	214	29	-	-	PUNCT
brj-23798	214	30	porous	porous	ADJ
brj-23798	214	31	woods	wood	NOUN
brj-23798	214	32	.	.	PUNCT
brj-23798	215	1	in	in	ADP
brj-23798	215	2	peer	peer	NOUN
brj-23798	215	3	-	-	PUNCT
brj-23798	215	4	reviewed	review	VERB
brj-23798	215	5	article	article	NOUN
brj-23798	215	6	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	215	7	owens	owens	PROPN
brj-23798	215	8	et	et	PROPN
brj-23798	215	9	al	al	PROPN
brj-23798	215	10	.	.	PROPN
brj-23798	216	1	(	(	PUNCT
brj-23798	216	2	2024	2024	NUM
brj-23798	216	3	)	)	PUNCT
brj-23798	216	4	.	.	PUNCT
brj-23798	217	1	“	"	PUNCT
brj-23798	217	2	computer	computer	NOUN
brj-23798	217	3	-	-	PUNCT
brj-23798	217	4	vision	vision	NOUN
brj-23798	217	5	wood	wood	NOUN
brj-23798	217	6	id	id	NOUN
brj-23798	217	7	-	-	ADJ
brj-23798	217	8	ing	ing	ADJ
brj-23798	217	9	,	,	PUNCT
brj-23798	217	10	”	"	PUNCT
brj-23798	217	11	bioresources	bioresource	NOUN
brj-23798	217	12	19(4	19(4	NUM
brj-23798	217	13	)	)	PUNCT
brj-23798	217	14	,	,	PUNCT
brj-23798	217	15	9741	9741	NUM
brj-23798	217	16	-	-	SYM
brj-23798	217	17	9772	9772	NUM
brj-23798	217	18	.	.	PUNCT
brj-23798	218	1	9754	9754	NUM
brj-23798	218	2	contrast	contrast	NOUN
brj-23798	218	3	,	,	PUNCT
brj-23798	218	4	the	the	DET
brj-23798	218	5	lower	low	ADJ
brj-23798	218	6	left	left	ADJ
brj-23798	218	7	region	region	NOUN
brj-23798	218	8	contains	contain	VERB
brj-23798	218	9	no	no	DET
brj-23798	218	10	cross	cross	ADJ
brj-23798	218	11	-	-	ADJ
brj-23798	218	12	domain	domain	ADJ
brj-23798	218	13	errors	error	NOUN
brj-23798	218	14	,	,	PUNCT
brj-23798	218	15	showing	show	VERB
brj-23798	218	16	that	that	SCONJ
brj-23798	218	17	none	none	NOUN
brj-23798	218	18	of	of	ADP
brj-23798	218	19	the	the	DET
brj-23798	218	20	ring	ring	NOUN
brj-23798	218	21	-	-	PUNCT
brj-23798	218	22	porous	porous	ADJ
brj-23798	218	23	woods	wood	NOUN
brj-23798	218	24	were	be	AUX
brj-23798	218	25	misclassified	misclassifie	VERB
brj-23798	218	26	as	as	ADP
brj-23798	218	27	diffuse	diffuse	NOUN
brj-23798	218	28	-	-	PUNCT
brj-23798	218	29	porous	porous	ADJ
brj-23798	218	30	woods	wood	NOUN
brj-23798	218	31	.	.	PUNCT
brj-23798	219	1	off	off	ADP
brj-23798	219	2	-	-	PUNCT
brj-23798	219	3	diagonal	diagonal	ADJ
brj-23798	219	4	counts	count	NOUN
brj-23798	219	5	in	in	ADP
brj-23798	219	6	the	the	DET
brj-23798	219	7	upper	upper	ADJ
brj-23798	219	8	left	left	NOUN
brj-23798	219	9	and	and	CCONJ
brj-23798	219	10	lower	low	ADJ
brj-23798	219	11	right	right	ADJ
brj-23798	219	12	regions	region	NOUN
brj-23798	219	13	indicate	indicate	VERB
brj-23798	219	14	erroneous	erroneous	ADJ
brj-23798	219	15	predictions	prediction	NOUN
brj-23798	219	16	within	within	ADP
brj-23798	219	17	the	the	DET
brj-23798	219	18	same	same	ADJ
brj-23798	219	19	porosity	porosity	NOUN
brj-23798	219	20	domain	domain	NOUN
brj-23798	219	21	.	.	PUNCT
brj-23798	220	1	the	the	DET
brj-23798	220	2	semi	semi	ADJ
brj-23798	220	3	-	-	ADJ
brj-23798	220	4	ring	ring	ADJ
brj-23798	220	5	-	-	PUNCT
brj-23798	220	6	porous	porous	ADJ
brj-23798	220	7	woods	wood	NOUN
brj-23798	220	8	had	have	VERB
brj-23798	220	9	no	no	DET
brj-23798	220	10	misclassifications	misclassification	NOUN
brj-23798	220	11	.	.	PUNCT
brj-23798	221	1	a	a	DET
brj-23798	221	2	breakdown	breakdown	NOUN
brj-23798	221	3	of	of	ADP
brj-23798	221	4	prediction	prediction	NOUN
brj-23798	221	5	errors	error	NOUN
brj-23798	221	6	and	and	CCONJ
brj-23798	221	7	accuracies	accuracy	NOUN
brj-23798	221	8	by	by	ADP
brj-23798	221	9	class	class	NOUN
brj-23798	221	10	appears	appear	VERB
brj-23798	221	11	in	in	ADP
brj-23798	221	12	tables	table	NOUN
brj-23798	221	13	7	7	NUM
brj-23798	221	14	and	and	CCONJ
brj-23798	221	15	8	8	NUM
brj-23798	221	16	.	.	PUNCT
brj-23798	222	1	class	class	NOUN
brj-23798	222	2	labels	label	NOUN
brj-23798	222	3	marked	mark	VERB
brj-23798	222	4	with	with	ADP
brj-23798	222	5	an	an	DET
brj-23798	222	6	asterisk	asterisk	NOUN
brj-23798	222	7	(	(	PUNCT
brj-23798	222	8	*	*	PUNCT
brj-23798	222	9	)	)	PUNCT
brj-23798	222	10	indicate	indicate	VERB
brj-23798	222	11	cross	cross	ADJ
brj-23798	222	12	-	-	ADJ
brj-23798	222	13	domain	domain	ADJ
brj-23798	222	14	misclassifications	misclassification	NOUN
brj-23798	222	15	for	for	ADP
brj-23798	222	16	porosity	porosity	NOUN
brj-23798	222	17	.	.	PUNCT
brj-23798	223	1	class	class	NOUN
brj-23798	223	2	labels	label	NOUN
brj-23798	223	3	highlighted	highlight	VERB
brj-23798	223	4	in	in	ADP
brj-23798	223	5	black	black	ADJ
brj-23798	223	6	indicate	indicate	NOUN
brj-23798	223	7	classes	class	NOUN
brj-23798	223	8	for	for	ADP
brj-23798	223	9	which	which	PRON
brj-23798	223	10	the	the	DET
brj-23798	223	11	domain	domain	NOUN
brj-23798	223	12	-	-	PUNCT
brj-23798	223	13	based	base	VERB
brj-23798	223	14	22dp	22dp	NOUN
brj-23798	223	15	or	or	CCONJ
brj-23798	223	16	17rp	17rp	ADJ
brj-23798	223	17	model	model	NOUN
brj-23798	223	18	(	(	PUNCT
brj-23798	223	19	from	from	ADP
brj-23798	223	20	ravidran	ravidran	PROPN
brj-23798	223	21	et	et	PROPN
brj-23798	223	22	al	al	PROPN
brj-23798	223	23	.	.	PROPN
brj-23798	223	24	2022a	2022a	NUM
brj-23798	223	25	,	,	PUNCT
brj-23798	223	26	b	b	X
brj-23798	223	27	)	)	PUNCT
brj-23798	223	28	identified	identify	VERB
brj-23798	223	29	all	all	DET
brj-23798	223	30	specimens	specimen	NOUN
brj-23798	223	31	without	without	ADP
brj-23798	223	32	any	any	DET
brj-23798	223	33	misclassifications	misclassification	NOUN
brj-23798	223	34	but	but	CCONJ
brj-23798	223	35	for	for	ADP
brj-23798	223	36	which	which	PRON
brj-23798	223	37	the	the	DET
brj-23798	223	38	consolidated	consolidated	ADJ
brj-23798	223	39	42dp	42dp	PROPN
brj-23798	223	40	-	-	PUNCT
brj-23798	223	41	rp	rp	NOUN
brj-23798	223	42	-	-	PUNCT
brj-23798	223	43	srp	srp	NOUN
brj-23798	223	44	model	model	NOUN
brj-23798	223	45	misclassified	misclassifie	VERB
brj-23798	223	46	at	at	ADP
brj-23798	223	47	least	least	ADV
brj-23798	223	48	one	one	NUM
brj-23798	223	49	specimen	speciman	NOUN
brj-23798	223	50	.	.	PUNCT
brj-23798	224	1	class	class	NOUN
brj-23798	224	2	labels	label	NOUN
brj-23798	224	3	in	in	ADP
brj-23798	224	4	gray	gray	ADJ
brj-23798	224	5	indicate	indicate	VERB
brj-23798	224	6	the	the	DET
brj-23798	224	7	opposite	opposite	NOUN
brj-23798	224	8	:	:	PUNCT
brj-23798	224	9	the	the	DET
brj-23798	224	10	domain	domain	NOUN
brj-23798	224	11	-	-	PUNCT
brj-23798	224	12	based	base	VERB
brj-23798	224	13	22dp	22dp	NOUN
brj-23798	224	14	or	or	CCONJ
brj-23798	224	15	17rp	17rp	ADJ
brj-23798	224	16	model	model	NOUN
brj-23798	224	17	misclassified	misclassifie	VERB
brj-23798	224	18	at	at	ADP
brj-23798	224	19	least	least	ADV
brj-23798	224	20	one	one	NUM
brj-23798	224	21	specimen	speciman	NOUN
brj-23798	224	22	while	while	SCONJ
brj-23798	224	23	the	the	DET
brj-23798	224	24	consolidated	consolidated	ADJ
brj-23798	224	25	42dp	42dp	PROPN
brj-23798	224	26	-	-	PUNCT
brj-23798	224	27	rp	rp	NOUN
brj-23798	224	28	-	-	PUNCT
brj-23798	224	29	srp	srp	NOUN
brj-23798	224	30	model	model	NOUN
brj-23798	224	31	correctly	correctly	ADV
brj-23798	224	32	classified	classify	VERB
brj-23798	224	33	all	all	DET
brj-23798	224	34	specimens	specimen	NOUN
brj-23798	225	1	.	.	PUNCT
brj-23798	225	2	fig	fig	NOUN
brj-23798	225	3	.	.	PUNCT
brj-23798	226	1	6	6	NUM
brj-23798	226	2	.	.	X
brj-23798	226	3	confusion	confusion	NOUN
brj-23798	226	4	matrix	matrix	NOUN
brj-23798	226	5	of	of	ADP
brj-23798	226	6	resnet34	resnet34	NOUN
brj-23798	226	7	field	field	NOUN
brj-23798	226	8	model	model	NOUN
brj-23798	226	9	on	on	ADP
brj-23798	226	10	test	test	NOUN
brj-23798	226	11	specimens	specimen	NOUN
brj-23798	226	12	for	for	ADP
brj-23798	226	13	label	label	NOUN
brj-23798	226	14	space	space	NOUN
brj-23798	226	15	42dp	42dp	NOUN
brj-23798	226	16	-	-	PUNCT
brj-23798	226	17	rpsrp	rpsrp	PROPN
brj-23798	226	18	.	.	PUNCT
brj-23798	227	1	counts	count	NOUN
brj-23798	227	2	in	in	ADP
brj-23798	227	3	the	the	DET
brj-23798	227	4	diagonal	diagonal	ADJ
brj-23798	227	5	cells	cell	NOUN
brj-23798	227	6	indicate	indicate	VERB
brj-23798	227	7	correct	correct	ADJ
brj-23798	227	8	predictions	prediction	NOUN
brj-23798	227	9	.	.	PUNCT
brj-23798	228	1	off	off	ADP
brj-23798	228	2	-	-	PUNCT
brj-23798	228	3	diagonal	diagonal	ADJ
brj-23798	228	4	counts	count	NOUN
brj-23798	228	5	indicate	indicate	VERB
brj-23798	228	6	misclassifications	misclassification	NOUN
brj-23798	228	7	.	.	PUNCT
brj-23798	229	1	the	the	DET
brj-23798	229	2	blue	blue	ADJ
brj-23798	229	3	dotted	dotted	ADJ
brj-23798	229	4	lines	line	NOUN
brj-23798	229	5	delineate	delineate	VERB
brj-23798	229	6	porosity	porosity	NOUN
brj-23798	229	7	domains	domain	NOUN
brj-23798	229	8	.	.	PUNCT
brj-23798	230	1	from	from	ADP
brj-23798	230	2	acerh	acerh	NOUN
brj-23798	230	3	to	to	ADP
brj-23798	230	4	tilia	tilia	PROPN
brj-23798	230	5	are	be	AUX
brj-23798	230	6	diffuse	diffuse	ADJ
brj-23798	230	7	-	-	PUNCT
brj-23798	230	8	porous	porous	ADJ
brj-23798	230	9	classes	class	NOUN
brj-23798	230	10	,	,	PUNCT
brj-23798	230	11	from	from	ADP
brj-23798	230	12	diospyros	diospyro	NOUN
brj-23798	230	13	to	to	ADP
brj-23798	230	14	juglansn	juglansn	PROPN
brj-23798	230	15	are	be	AUX
brj-23798	230	16	semi	semi	ADJ
brj-23798	230	17	-	-	ADJ
brj-23798	230	18	ring	ring	ADJ
brj-23798	230	19	-	-	PUNCT
brj-23798	230	20	porous	porous	ADJ
brj-23798	230	21	classes	class	NOUN
brj-23798	230	22	,	,	PUNCT
brj-23798	230	23	and	and	CCONJ
brj-23798	230	24	from	from	ADP
brj-23798	230	25	asimina	asimina	NOUN
brj-23798	230	26	to	to	ADP
brj-23798	230	27	ulmuss	ulmuss	ADJ
brj-23798	230	28	are	be	AUX
brj-23798	230	29	ring	ring	NOUN
brj-23798	230	30	-	-	PUNCT
brj-23798	230	31	porous	porous	ADJ
brj-23798	230	32	classes	class	NOUN
brj-23798	230	33	.	.	PUNCT
brj-23798	231	1	counts	count	NOUN
brj-23798	231	2	appearing	appear	VERB
brj-23798	231	3	in	in	ADP
brj-23798	231	4	the	the	DET
brj-23798	231	5	top	top	ADJ
brj-23798	231	6	right	right	ADJ
brj-23798	231	7	region	region	NOUN
brj-23798	231	8	are	be	AUX
brj-23798	231	9	the	the	DET
brj-23798	231	10	only	only	ADJ
brj-23798	231	11	cross	cross	ADJ
brj-23798	231	12	-	-	ADJ
brj-23798	231	13	domain	domain	ADJ
brj-23798	231	14	misclassifications	misclassification	NOUN
brj-23798	231	15	for	for	ADP
brj-23798	231	16	porosity	porosity	NOUN
brj-23798	231	17	domain	domain	NOUN
brj-23798	231	18	(	(	PUNCT
brj-23798	231	19	diffuse	diffuse	NOUN
brj-23798	231	20	-	-	PUNCT
brj-23798	231	21	porous	porous	ADJ
brj-23798	231	22	mistaken	mistaken	NOUN
brj-23798	231	23	for	for	ADP
brj-23798	231	24	ring	ring	NOUN
brj-23798	231	25	-	-	PUNCT
brj-23798	231	26	porous	porous	ADJ
brj-23798	231	27	)	)	PUNCT
brj-23798	231	28	.	.	PUNCT
brj-23798	232	1	n=	n=	ADJ
brj-23798	232	2	510	510	NUM
brj-23798	232	3	peer	peer	NOUN
brj-23798	232	4	-	-	PUNCT
brj-23798	232	5	reviewed	review	VERB
brj-23798	232	6	article	article	NOUN
brj-23798	232	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	232	8	owens	owens	PROPN
brj-23798	232	9	et	et	PROPN
brj-23798	232	10	al	al	PROPN
brj-23798	232	11	.	.	PROPN
brj-23798	233	1	(	(	PUNCT
brj-23798	233	2	2024	2024	NUM
brj-23798	233	3	)	)	PUNCT
brj-23798	233	4	.	.	PUNCT
brj-23798	234	1	“	"	PUNCT
brj-23798	234	2	computer	computer	NOUN
brj-23798	234	3	-	-	PUNCT
brj-23798	234	4	vision	vision	NOUN
brj-23798	234	5	wood	wood	NOUN
brj-23798	234	6	id	id	NOUN
brj-23798	234	7	-	-	ADJ
brj-23798	234	8	ing	ing	ADJ
brj-23798	234	9	,	,	PUNCT
brj-23798	234	10	”	"	PUNCT
brj-23798	234	11	bioresources	bioresource	NOUN
brj-23798	234	12	19(4	19(4	NUM
brj-23798	234	13	)	)	PUNCT
brj-23798	234	14	,	,	PUNCT
brj-23798	234	15	9741	9741	NUM
brj-23798	234	16	-	-	SYM
brj-23798	234	17	9772	9772	NUM
brj-23798	234	18	.	.	PUNCT
brj-23798	235	1	9755	9755	NUM
brj-23798	235	2	table	table	NOUN
brj-23798	235	3	7	7	NUM
brj-23798	235	4	.	.	PUNCT
brj-23798	235	5	prediction	prediction	NOUN
brj-23798	235	6	errors	error	NOUN
brj-23798	235	7	and	and	CCONJ
brj-23798	235	8	accuracies	accuracy	NOUN
brj-23798	235	9	by	by	ADP
brj-23798	235	10	input	input	NOUN
brj-23798	235	11	class	class	NOUN
brj-23798	235	12	for	for	ADP
brj-23798	235	13	42dp	42dp	NOUN
brj-23798	235	14	-	-	PUNCT
brj-23798	235	15	rp	rp	NOUN
brj-23798	235	16	-	-	PUNCT
brj-23798	235	17	srp	srp	NOUN
brj-23798	235	18	(	(	PUNCT
brj-23798	235	19	diffuse	diffuse	NOUN
brj-23798	235	20	-	-	PUNCT
brj-23798	235	21	porous	porous	ADJ
brj-23798	235	22	portion	portion	NOUN
brj-23798	235	23	of	of	ADP
brj-23798	235	24	the	the	DET
brj-23798	235	25	dataset	dataset	NOUN
brj-23798	235	26	)	)	PUNCT
brj-23798	235	27	input	input	NOUN
brj-23798	235	28	class	class	NOUN
brj-23798	235	29	label	label	NOUN
brj-23798	235	30	specimen	speciman	NOUN
brj-23798	235	31	total	total	NOUN
brj-23798	235	32	count	count	NOUN
brj-23798	235	33	count	count	NOUN
brj-23798	235	34	missed	miss	VERB
brj-23798	235	35	%	%	NOUN
brj-23798	235	36	missed	miss	VERB
brj-23798	235	37	mistaken	mistaken	ADJ
brj-23798	235	38	classes	class	NOUN
brj-23798	235	39	(	(	PUNCT
brj-23798	235	40	count	count	NOUN
brj-23798	235	41	)	)	PUNCT
brj-23798	235	42	count	count	NOUN
brj-23798	235	43	correct	correct	ADJ
brj-23798	235	44	%	%	NOUN
brj-23798	235	45	accurate	accurate	ADJ
brj-23798	235	46	acerh	acerh	NOUN
brj-23798	235	47	9	9	NUM
brj-23798	235	48	2	2	NUM
brj-23798	235	49	22.2	22.2	NUM
brj-23798	235	50	*	*	PUNCT
brj-23798	235	51	gleditsia	gleditsia	NOUN
brj-23798	235	52	(	(	PUNCT
brj-23798	235	53	2	2	NUM
brj-23798	235	54	)	)	PUNCT
brj-23798	235	55	7	7	NUM
brj-23798	235	56	77.8	77.8	NUM
brj-23798	235	57	acers	acer	NOUN
brj-23798	235	58	18	18	NUM
brj-23798	235	59	7	7	NUM
brj-23798	235	60	38.9	38.9	NUM
brj-23798	235	61	carpinus	carpinus	NOUN
brj-23798	235	62	(	(	PUNCT
brj-23798	235	63	3	3	X
brj-23798	235	64	)	)	PUNCT
brj-23798	235	65	frangula	frangula	NOUN
brj-23798	235	66	(	(	PUNCT
brj-23798	235	67	2	2	NUM
brj-23798	235	68	)	)	PUNCT
brj-23798	235	69	acerh	acerh	NOUN
brj-23798	235	70	(	(	PUNCT
brj-23798	235	71	1	1	NUM
brj-23798	235	72	)	)	PUNCT
brj-23798	235	73	*	*	PUNCT
brj-23798	236	1	gleditsia	gleditsia	NOUN
brj-23798	236	2	(	(	PUNCT
brj-23798	236	3	1	1	NUM
brj-23798	236	4	)	)	PUNCT
brj-23798	236	5	11	11	NUM
brj-23798	236	6	61.1	61.1	NUM
brj-23798	236	7	aesculus	aesculus	NOUN
brj-23798	236	8	6	6	NUM
brj-23798	236	9	0	0	NUM
brj-23798	236	10	0.0	0.0	NUM
brj-23798	236	11	-6	-6	NOUN
brj-23798	236	12	100.0	100.0	NUM
brj-23798	236	13	alnus	alnus	NOUN
brj-23798	236	14	8	8	NUM
brj-23798	236	15	3	3	NUM
brj-23798	236	16	37.5	37.5	NUM
brj-23798	236	17	frangula	frangula	NOUN
brj-23798	236	18	(	(	PUNCT
brj-23798	236	19	2	2	NUM
brj-23798	236	20	)	)	PUNCT
brj-23798	236	21	carpinus	carpinus	NOUN
brj-23798	236	22	(	(	PUNCT
brj-23798	236	23	1	1	NUM
brj-23798	236	24	)	)	PUNCT
brj-23798	236	25	5	5	NUM
brj-23798	236	26	62.5	62.5	NUM
brj-23798	236	27	arbutus	arbutus	NOUN
brj-23798	236	28	9	9	NUM
brj-23798	236	29	1	1	NUM
brj-23798	236	30	11.1	11.1	NUM
brj-23798	236	31	fruitwood	fruitwood	NOUN
brj-23798	236	32	(	(	PUNCT
brj-23798	236	33	1	1	NUM
brj-23798	236	34	)	)	PUNCT
brj-23798	236	35	8	8	NUM
brj-23798	236	36	88.9	88.9	NUM
brj-23798	236	37	betula	betula	NOUN
brj-23798	236	38	33	33	NUM
brj-23798	236	39	21	21	NUM
brj-23798	236	40	63.6	63.6	NUM
brj-23798	236	41	salix	salix	NOUN
brj-23798	236	42	(	(	PUNCT
brj-23798	236	43	11	11	NUM
brj-23798	236	44	)	)	PUNCT
brj-23798	236	45	frangula	frangula	NOUN
brj-23798	236	46	(	(	PUNCT
brj-23798	236	47	4	4	X
brj-23798	236	48	)	)	PUNCT
brj-23798	236	49	populus	populus	NOUN
brj-23798	236	50	(	(	PUNCT
brj-23798	236	51	3	3	NUM
brj-23798	236	52	)	)	PUNCT
brj-23798	236	53	*	*	PUNCT
brj-23798	236	54	ulmuss	ulmuss	ADJ
brj-23798	236	55	(	(	PUNCT
brj-23798	236	56	2	2	NUM
brj-23798	236	57	)	)	PUNCT
brj-23798	236	58	acers	acer	NOUN
brj-23798	236	59	(	(	PUNCT
brj-23798	236	60	1	1	NUM
brj-23798	236	61	)	)	PUNCT
brj-23798	236	62	12	12	NUM
brj-23798	236	63	36.4	36.4	NUM
brj-23798	236	64	carpinus	carpinus	NOUN
brj-23798	236	65	9	9	NUM
brj-23798	236	66	0	0	NUM
brj-23798	236	67	0.0	0.0	NUM
brj-23798	236	68	-9	-9	NUM
brj-23798	236	69	100.0	100.0	NUM
brj-23798	236	70	fagus	fagus	NOUN
brj-23798	236	71	13	13	NUM
brj-23798	236	72	0	0	NUM
brj-23798	236	73	0.0	0.0	NUM
brj-23798	236	74	-13	-13	SYM
brj-23798	236	75	100.0	100.0	NUM
brj-23798	236	76	frangula	frangula	NOUN
brj-23798	236	77	1	1	NUM
brj-23798	236	78	0	0	NUM
brj-23798	236	79	0.0	0.0	NUM
brj-23798	236	80	-1	-1	SYM
brj-23798	236	81	100.0	100.0	NUM
brj-23798	236	82	fruitwood	fruitwood	ADJ
brj-23798	236	83	32	32	NUM
brj-23798	236	84	2	2	NUM
brj-23798	236	85	6.3	6.3	NUM
brj-23798	236	86	frangula	frangula	NOUN
brj-23798	236	87	(	(	PUNCT
brj-23798	236	88	2	2	NUM
brj-23798	236	89	)	)	PUNCT
brj-23798	236	90	30	30	NUM
brj-23798	236	91	93.8	93.8	NUM
brj-23798	236	92	liquidambar	liquidambar	NOUN
brj-23798	236	93	10	10	NUM
brj-23798	236	94	3	3	NUM
brj-23798	236	95	30.0	30.0	NUM
brj-23798	236	96	nyssa	nyssa	NOUN
brj-23798	236	97	(	(	PUNCT
brj-23798	236	98	3	3	NUM
brj-23798	236	99	)	)	PUNCT
brj-23798	236	100	7	7	NUM
brj-23798	236	101	70.0	70.0	NUM
brj-23798	236	102	liriodendron	liriodendron	NOUN
brj-23798	236	103	14	14	NUM
brj-23798	236	104	10	10	NUM
brj-23798	236	105	71.4	71.4	NUM
brj-23798	236	106	liquidambar	liquidambar	NOUN
brj-23798	236	107	(	(	PUNCT
brj-23798	236	108	3	3	X
brj-23798	236	109	)	)	PUNCT
brj-23798	236	110	nyssa	nyssa	NOUN
brj-23798	236	111	(	(	PUNCT
brj-23798	236	112	3	3	X
brj-23798	236	113	)	)	PUNCT
brj-23798	236	114	populus	populus	NOUN
brj-23798	236	115	(	(	PUNCT
brj-23798	236	116	3	3	NUM
brj-23798	236	117	)	)	PUNCT
brj-23798	236	118	salix	salix	NOUN
brj-23798	236	119	(	(	PUNCT
brj-23798	236	120	1	1	NUM
brj-23798	236	121	)	)	PUNCT
brj-23798	236	122	4	4	NUM
brj-23798	236	123	28.6	28.6	NUM
brj-23798	236	124	magnolia	magnolia	NOUN
brj-23798	236	125	25	25	NUM
brj-23798	236	126	11	11	NUM
brj-23798	236	127	44.0	44.0	NUM
brj-23798	236	128	liquidambar	liquidambar	NOUN
brj-23798	236	129	(	(	PUNCT
brj-23798	236	130	3	3	X
brj-23798	236	131	)	)	PUNCT
brj-23798	236	132	nyssa	nyssa	NOUN
brj-23798	236	133	(	(	PUNCT
brj-23798	236	134	3	3	X
brj-23798	236	135	)	)	PUNCT
brj-23798	236	136	fruitwood	fruitwood	NOUN
brj-23798	236	137	(	(	PUNCT
brj-23798	236	138	2	2	NUM
brj-23798	236	139	)	)	PUNCT
brj-23798	236	140	populus	populus	NOUN
brj-23798	236	141	(	(	PUNCT
brj-23798	236	142	2	2	NUM
brj-23798	236	143	)	)	PUNCT
brj-23798	236	144	alnus	alnus	NOUN
brj-23798	236	145	(	(	PUNCT
brj-23798	236	146	1	1	NUM
brj-23798	236	147	)	)	PUNCT
brj-23798	236	148	14	14	NUM
brj-23798	236	149	56.0	56.0	NUM
brj-23798	236	150	nyssa	nyssa	NOUN
brj-23798	236	151	23	23	NUM
brj-23798	236	152	3	3	NUM
brj-23798	236	153	13.0	13.0	NUM
brj-23798	236	154	carpinus	carpinus	NOUN
brj-23798	236	155	(	(	PUNCT
brj-23798	236	156	1	1	NUM
brj-23798	236	157	)	)	PUNCT
brj-23798	236	158	fruitwood	fruitwood	NOUN
brj-23798	236	159	(	(	PUNCT
brj-23798	236	160	1	1	NUM
brj-23798	236	161	)	)	PUNCT
brj-23798	236	162	magnolia	magnolia	NOUN
brj-23798	236	163	(	(	PUNCT
brj-23798	236	164	1	1	NUM
brj-23798	236	165	)	)	PUNCT
brj-23798	236	166	20	20	NUM
brj-23798	236	167	87.0	87.0	NUM
brj-23798	236	168	ostrya	ostrya	NOUN
brj-23798	236	169	2	2	NUM
brj-23798	236	170	2	2	NUM
brj-23798	236	171	100.0	100.0	NUM
brj-23798	236	172	fruitwood	fruitwood	ADJ
brj-23798	236	173	(	(	PUNCT
brj-23798	236	174	2	2	NUM
brj-23798	236	175	)	)	PUNCT
brj-23798	236	176	0	0	NUM
brj-23798	237	1	0.0	0.0	NUM
brj-23798	237	2	oxydendrum	oxydendrum	NOUN
brj-23798	237	3	9	9	NUM
brj-23798	237	4	4	4	NUM
brj-23798	237	5	44.4	44.4	NUM
brj-23798	237	6	fruitwood	fruitwood	ADJ
brj-23798	237	7	(	(	PUNCT
brj-23798	237	8	4	4	NUM
brj-23798	237	9	)	)	SYM
brj-23798	237	10	5	5	NUM
brj-23798	237	11	55.6	55.6	NUM
brj-23798	237	12	platanus	platanus	NOUN
brj-23798	237	13	3	3	NUM
brj-23798	237	14	1	1	NUM
brj-23798	237	15	33.3	33.3	NUM
brj-23798	237	16	*	*	NOUN
brj-23798	237	17	quercusr	quercusr	NOUN
brj-23798	237	18	(	(	PUNCT
brj-23798	237	19	1	1	NUM
brj-23798	237	20	)	)	PUNCT
brj-23798	237	21	2	2	NUM
brj-23798	237	22	66.7	66.7	NUM
brj-23798	237	23	populus	populus	NOUN
brj-23798	237	24	26	26	NUM
brj-23798	237	25	5	5	NUM
brj-23798	237	26	19.2	19.2	NUM
brj-23798	237	27	frangula	frangula	NOUN
brj-23798	237	28	(	(	PUNCT
brj-23798	237	29	2	2	X
brj-23798	237	30	)	)	PUNCT
brj-23798	237	31	alnus	alnus	NOUN
brj-23798	237	32	(	(	PUNCT
brj-23798	237	33	1	1	NUM
brj-23798	237	34	)	)	PUNCT
brj-23798	237	35	salix	salix	NOUN
brj-23798	237	36	(	(	PUNCT
brj-23798	237	37	1	1	NUM
brj-23798	237	38	)	)	PUNCT
brj-23798	237	39	*	*	PUNCT
brj-23798	237	40	quercusr	quercusr	NOUN
brj-23798	237	41	(	(	PUNCT
brj-23798	237	42	1	1	NUM
brj-23798	237	43	)	)	PUNCT
brj-23798	237	44	21	21	NUM
brj-23798	237	45	80.8	80.8	NUM
brj-23798	237	46	prunus	prunus	NOUN
brj-23798	237	47	16	16	NUM
brj-23798	237	48	11	11	NUM
brj-23798	237	49	68.8	68.8	NUM
brj-23798	237	50	fruitwood	fruitwood	ADJ
brj-23798	237	51	(	(	PUNCT
brj-23798	237	52	8)	8)	NUM
brj-23798	237	53	frangula	frangula	NOUN
brj-23798	237	54	(	(	PUNCT
brj-23798	237	55	3	3	NUM
brj-23798	237	56	)	)	PUNCT
brj-23798	237	57	5	5	NUM
brj-23798	237	58	31.3	31.3	NUM
brj-23798	237	59	rhamnus	rhamnus	NOUN
brj-23798	237	60	2	2	NUM
brj-23798	237	61	0	0	NUM
brj-23798	237	62	0.0	0.0	NUM
brj-23798	237	63	-2	-2	NOUN
brj-23798	237	64	100.0	100.0	NUM
brj-23798	237	65	salix	salix	NOUN
brj-23798	237	66	13	13	NUM
brj-23798	237	67	2	2	NUM
brj-23798	237	68	15.4	15.4	NUM
brj-23798	237	69	fruitwood	fruitwood	ADJ
brj-23798	237	70	(	(	PUNCT
brj-23798	237	71	1	1	NUM
brj-23798	237	72	)	)	PUNCT
brj-23798	237	73	frangula	frangula	NOUN
brj-23798	237	74	(	(	PUNCT
brj-23798	237	75	1	1	NUM
brj-23798	237	76	)	)	PUNCT
brj-23798	237	77	11	11	NUM
brj-23798	237	78	84.6	84.6	NUM
brj-23798	237	79	tilia	tilia	NOUN
brj-23798	237	80	3	3	NUM
brj-23798	237	81	3	3	NUM
brj-23798	237	82	100.0	100.0	NUM
brj-23798	237	83	frangula	frangula	NOUN
brj-23798	237	84	(	(	PUNCT
brj-23798	237	85	2	2	X
brj-23798	237	86	)	)	PUNCT
brj-23798	237	87	alnus	alnus	NOUN
brj-23798	237	88	(	(	PUNCT
brj-23798	237	89	1	1	NUM
brj-23798	237	90	)	)	PUNCT
brj-23798	237	91	0	0	NUM
brj-23798	238	1	0.0	0.0	NUM
brj-23798	238	2	class	class	NOUN
brj-23798	238	3	labels	label	NOUN
brj-23798	238	4	marked	mark	VERB
brj-23798	238	5	with	with	ADP
brj-23798	238	6	an	an	DET
brj-23798	238	7	asterisk	asterisk	NOUN
brj-23798	238	8	(	(	PUNCT
brj-23798	238	9	*	*	PUNCT
brj-23798	238	10	)	)	PUNCT
brj-23798	238	11	indicate	indicate	VERB
brj-23798	238	12	cross	cross	ADJ
brj-23798	238	13	-	-	ADJ
brj-23798	238	14	domain	domain	ADJ
brj-23798	238	15	misclassifications	misclassification	NOUN
brj-23798	238	16	for	for	ADP
brj-23798	238	17	porosity	porosity	NOUN
brj-23798	238	18	.	.	PUNCT
brj-23798	239	1	class	class	NOUN
brj-23798	239	2	labels	label	NOUN
brj-23798	239	3	highlighted	highlight	VERB
brj-23798	239	4	in	in	ADP
brj-23798	239	5	black	black	ADJ
brj-23798	239	6	indicate	indicate	NOUN
brj-23798	239	7	classes	class	NOUN
brj-23798	239	8	for	for	ADP
brj-23798	239	9	which	which	PRON
brj-23798	239	10	the	the	DET
brj-23798	239	11	domain	domain	NOUN
brj-23798	239	12	-	-	PUNCT
brj-23798	239	13	based	base	VERB
brj-23798	239	14	22dp	22dp	PROPN
brj-23798	239	15	model	model	NOUN
brj-23798	239	16	(	(	PUNCT
brj-23798	239	17	from	from	ADP
brj-23798	239	18	ravidran	ravidran	PROPN
brj-23798	239	19	et	et	PROPN
brj-23798	239	20	al	al	PROPN
brj-23798	239	21	.	.	PROPN
brj-23798	239	22	2022a	2022a	NUM
brj-23798	239	23	)	)	PUNCT
brj-23798	239	24	classified	classify	VERB
brj-23798	239	25	all	all	DET
brj-23798	239	26	specimens	specimen	NOUN
brj-23798	239	27	correctly	correctly	ADV
brj-23798	239	28	but	but	CCONJ
brj-23798	239	29	for	for	ADP
brj-23798	239	30	which	which	PRON
brj-23798	239	31	the	the	DET
brj-23798	239	32	consolidated	consolidated	ADJ
brj-23798	239	33	42dp	42dp	ADJ
brj-23798	239	34	-	-	PUNCT
brj-23798	239	35	rpsrp	rpsrp	PROPN
brj-23798	239	36	model	model	NOUN
brj-23798	239	37	misclassified	misclassifie	VERB
brj-23798	239	38	at	at	ADP
brj-23798	239	39	least	least	ADV
brj-23798	239	40	one	one	NUM
brj-23798	239	41	specimen	speciman	NOUN
brj-23798	239	42	.	.	PUNCT
brj-23798	240	1	class	class	NOUN
brj-23798	240	2	labels	label	NOUN
brj-23798	240	3	in	in	ADP
brj-23798	240	4	gray	gray	ADJ
brj-23798	240	5	indicate	indicate	VERB
brj-23798	240	6	the	the	DET
brj-23798	240	7	opposite	opposite	NOUN
brj-23798	240	8	:	:	PUNCT
brj-23798	240	9	the	the	DET
brj-23798	240	10	domain	domain	NOUN
brj-23798	240	11	-	-	PUNCT
brj-23798	240	12	based	base	VERB
brj-23798	240	13	22dp	22dp	NOUN
brj-23798	240	14	model	model	NOUN
brj-23798	240	15	misclassified	misclassifie	VERB
brj-23798	240	16	at	at	ADP
brj-23798	240	17	least	least	ADV
brj-23798	240	18	one	one	NUM
brj-23798	240	19	specimen	speciman	NOUN
brj-23798	240	20	while	while	SCONJ
brj-23798	240	21	the	the	DET
brj-23798	240	22	consolidated	consolidated	ADJ
brj-23798	240	23	42dp	42dp	ADJ
brj-23798	240	24	-	-	PUNCT
brj-23798	240	25	rpsrp	rpsrp	PROPN
brj-23798	240	26	model	model	NOUN
brj-23798	240	27	classified	classify	VERB
brj-23798	240	28	all	all	DET
brj-23798	240	29	specimens	specimen	NOUN
brj-23798	240	30	correctly	correctly	ADV
brj-23798	240	31	.	.	PUNCT
brj-23798	241	1	peer	peer	NOUN
brj-23798	241	2	-	-	PUNCT
brj-23798	241	3	reviewed	review	VERB
brj-23798	241	4	article	article	NOUN
brj-23798	241	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	241	6	owens	owens	PROPN
brj-23798	241	7	et	et	PROPN
brj-23798	241	8	al	al	PROPN
brj-23798	241	9	.	.	PROPN
brj-23798	242	1	(	(	PUNCT
brj-23798	242	2	2024	2024	NUM
brj-23798	242	3	)	)	PUNCT
brj-23798	242	4	.	.	PUNCT
brj-23798	243	1	“	"	PUNCT
brj-23798	243	2	computer	computer	NOUN
brj-23798	243	3	-	-	PUNCT
brj-23798	243	4	vision	vision	NOUN
brj-23798	243	5	wood	wood	NOUN
brj-23798	243	6	id	id	NOUN
brj-23798	243	7	-	-	ADJ
brj-23798	243	8	ing	ing	ADJ
brj-23798	243	9	,	,	PUNCT
brj-23798	243	10	”	"	PUNCT
brj-23798	243	11	bioresources	bioresource	NOUN
brj-23798	243	12	19(4	19(4	NUM
brj-23798	243	13	)	)	PUNCT
brj-23798	243	14	,	,	PUNCT
brj-23798	243	15	9741	9741	NUM
brj-23798	243	16	-	-	SYM
brj-23798	243	17	9772	9772	NUM
brj-23798	243	18	.	.	PUNCT
brj-23798	244	1	9756	9756	NUM
brj-23798	244	2	table	table	NOUN
brj-23798	244	3	8	8	NUM
brj-23798	244	4	.	.	PUNCT
brj-23798	244	5	prediction	prediction	NOUN
brj-23798	244	6	errors	error	NOUN
brj-23798	244	7	and	and	CCONJ
brj-23798	244	8	accuracies	accuracy	NOUN
brj-23798	244	9	by	by	ADP
brj-23798	244	10	input	input	NOUN
brj-23798	244	11	class	class	NOUN
brj-23798	244	12	for	for	ADP
brj-23798	244	13	42dp	42dp	NOUN
brj-23798	244	14	-	-	PUNCT
brj-23798	244	15	rp	rp	NOUN
brj-23798	244	16	-	-	PUNCT
brj-23798	244	17	srp	srp	NOUN
brj-23798	244	18	(	(	PUNCT
brj-23798	244	19	ring	ring	NOUN
brj-23798	244	20	-	-	PUNCT
brj-23798	244	21	porous	porous	ADJ
brj-23798	244	22	and	and	CCONJ
brj-23798	244	23	semi	semi	ADJ
brj-23798	244	24	-	-	ADJ
brj-23798	244	25	ring	ring	ADJ
brj-23798	244	26	-	-	PUNCT
brj-23798	244	27	porous	porous	ADJ
brj-23798	244	28	portions	portion	NOUN
brj-23798	244	29	of	of	ADP
brj-23798	244	30	the	the	DET
brj-23798	244	31	dataset	dataset	NOUN
brj-23798	244	32	)	)	PUNCT
brj-23798	245	1	p	p	X
brj-23798	246	1	o	o	X
brj-23798	246	2	ro	ro	X
brj-23798	246	3	s	s	VERB
brj-23798	246	4	it	it	PRON
brj-23798	246	5	y	y	PROPN
brj-23798	246	6	input	input	NOUN
brj-23798	246	7	class	class	NOUN
brj-23798	246	8	specimen	speciman	NOUN
brj-23798	246	9	total	total	NOUN
brj-23798	246	10	count	count	NOUN
brj-23798	246	11	count	count	NOUN
brj-23798	246	12	missed	miss	VERB
brj-23798	246	13	%	%	NOUN
brj-23798	246	14	missed	miss	VERB
brj-23798	246	15	mistaken	mistaken	ADJ
brj-23798	246	16	classes	class	NOUN
brj-23798	246	17	(	(	PUNCT
brj-23798	246	18	count	count	NOUN
brj-23798	246	19	)	)	PUNCT
brj-23798	246	20	count	count	NOUN
brj-23798	246	21	correct	correct	ADJ
brj-23798	246	22	%	%	NOUN
brj-23798	246	23	accurate	accurate	ADJ
brj-23798	246	24	r	r	NOUN
brj-23798	246	25	in	in	ADP
brj-23798	246	26	g	g	PROPN
brj-23798	246	27	asimina	asimina	NOUN
brj-23798	246	28	3	3	NUM
brj-23798	246	29	0	0	NUM
brj-23798	246	30	0.0	0.0	NUM
brj-23798	246	31	-3	-3	SYM
brj-23798	246	32	100.0	100.0	NUM
brj-23798	246	33	carya	carya	NOUN
brj-23798	246	34	45	45	NUM
brj-23798	246	35	0	0	NUM
brj-23798	246	36	0.0	0.0	NUM
brj-23798	246	37	-45	-45	NUM
brj-23798	246	38	100.0	100.0	NUM
brj-23798	246	39	castanea	castanea	NOUN
brj-23798	246	40	2	2	NUM
brj-23798	246	41	0	0	NUM
brj-23798	246	42	0.0	0.0	NUM
brj-23798	246	43	-2	-2	NOUN
brj-23798	246	44	100.0	100.0	NUM
brj-23798	246	45	catalpa	catalpa	NOUN
brj-23798	246	46	4	4	NUM
brj-23798	246	47	0	0	NUM
brj-23798	246	48	0.0	0.0	NUM
brj-23798	246	49	-4	-4	NUM
brj-23798	246	50	100.0	100.0	NUM
brj-23798	246	51	celtis	celtis	PROPN
brj-23798	246	52	3	3	NUM
brj-23798	246	53	0	0	NUM
brj-23798	246	54	0.0	0.0	NUM
brj-23798	246	55	-3	-3	SYM
brj-23798	246	56	100.0	100.0	NUM
brj-23798	246	57	cladrastis	cladrastis	NOUN
brj-23798	246	58	4	4	NUM
brj-23798	246	59	4	4	NUM
brj-23798	246	60	100.0	100.0	NUM
brj-23798	246	61	fraxinus	fraxinu	NOUN
brj-23798	246	62	(	(	PUNCT
brj-23798	246	63	2	2	NUM
brj-23798	246	64	)	)	PUNCT
brj-23798	246	65	celtis	celtis	NOUN
brj-23798	246	66	(	(	PUNCT
brj-23798	246	67	1	1	NUM
brj-23798	246	68	)	)	PUNCT
brj-23798	246	69	gymnocladus	gymnocladus	NOUN
brj-23798	246	70	(	(	PUNCT
brj-23798	246	71	1	1	NUM
brj-23798	246	72	)	)	PUNCT
brj-23798	246	73	0	0	NUM
brj-23798	247	1	0.0	0.0	NUM
brj-23798	247	2	fraxinus	fraxinus	NOUN
brj-23798	247	3	4	4	NUM
brj-23798	247	4	0	0	NUM
brj-23798	247	5	0.0	0.0	NUM
brj-23798	247	6	-4	-4	SYM
brj-23798	247	7	100.0	100.0	NUM
brj-23798	247	8	gleditsia	gleditsia	NOUN
brj-23798	247	9	7	7	NUM
brj-23798	247	10	2	2	NUM
brj-23798	247	11	28.6	28.6	NUM
brj-23798	247	12	fraxinus	fraxinu	NOUN
brj-23798	247	13	(	(	PUNCT
brj-23798	247	14	1	1	NUM
brj-23798	247	15	)	)	PUNCT
brj-23798	247	16	gymnocladus	gymnocladus	NOUN
brj-23798	247	17	(	(	PUNCT
brj-23798	247	18	1	1	NUM
brj-23798	247	19	)	)	PUNCT
brj-23798	247	20	5	5	NUM
brj-23798	247	21	71.4	71.4	NUM
brj-23798	247	22	gymnocladus	gymnocladus	NOUN
brj-23798	247	23	2	2	NUM
brj-23798	247	24	0	0	NUM
brj-23798	247	25	0.0	0.0	NUM
brj-23798	247	26	-2	-2	NOUN
brj-23798	247	27	100.0	100.0	NUM
brj-23798	247	28	maclura	maclura	NOUN
brj-23798	247	29	3	3	NUM
brj-23798	247	30	2	2	NUM
brj-23798	247	31	66.7	66.7	NUM
brj-23798	247	32	cladrastis	cladrastis	NOUN
brj-23798	247	33	(	(	PUNCT
brj-23798	247	34	1	1	NUM
brj-23798	247	35	)	)	PUNCT
brj-23798	247	36	robinia	robinia	NOUN
brj-23798	247	37	(	(	PUNCT
brj-23798	247	38	1	1	NUM
brj-23798	247	39	)	)	PUNCT
brj-23798	247	40	1	1	NUM
brj-23798	247	41	33.3	33.3	NUM
brj-23798	247	42	morus	morus	NOUN
brj-23798	247	43	5	5	NUM
brj-23798	247	44	5	5	NUM
brj-23798	247	45	100.0	100.0	NUM
brj-23798	247	46	gleditsia	gleditsia	NOUN
brj-23798	247	47	(	(	PUNCT
brj-23798	247	48	3	3	NUM
brj-23798	247	49	)	)	PUNCT
brj-23798	247	50	catalpa	catalpa	NOUN
brj-23798	247	51	(	(	PUNCT
brj-23798	247	52	1	1	NUM
brj-23798	247	53	)	)	PUNCT
brj-23798	247	54	robinia	robinia	NOUN
brj-23798	247	55	(	(	PUNCT
brj-23798	247	56	1	1	NUM
brj-23798	247	57	)	)	PUNCT
brj-23798	247	58	0	0	NUM
brj-23798	247	59	0.0	0.0	NUM
brj-23798	247	60	quercusr	quercusr	NOUN
brj-23798	247	61	41	41	NUM
brj-23798	247	62	1	1	NUM
brj-23798	247	63	2.4	2.4	NUM
brj-23798	247	64	quercusw	quercusw	NOUN
brj-23798	247	65	(	(	PUNCT
brj-23798	247	66	1	1	NUM
brj-23798	247	67	)	)	PUNCT
brj-23798	247	68	40	40	NUM
brj-23798	247	69	97.6	97.6	NUM
brj-23798	247	70	quercusw	quercusw	NOUN
brj-23798	247	71	55	55	NUM
brj-23798	247	72	1	1	NUM
brj-23798	247	73	1.8	1.8	NUM
brj-23798	247	74	quercusr	quercusr	NOUN
brj-23798	247	75	(	(	PUNCT
brj-23798	247	76	1	1	NUM
brj-23798	247	77	)	)	PUNCT
brj-23798	247	78	54	54	NUM
brj-23798	247	79	98.2	98.2	NUM
brj-23798	247	80	robinia	robinia	NOUN
brj-23798	247	81	6	6	NUM
brj-23798	247	82	0	0	NUM
brj-23798	247	83	0.0	0.0	NUM
brj-23798	247	84	-6	-6	NOUN
brj-23798	247	85	100.0	100.0	NUM
brj-23798	247	86	sassafras	sassafras	NOUN
brj-23798	247	87	3	3	NUM
brj-23798	247	88	3	3	NUM
brj-23798	247	89	100.0	100.0	NUM
brj-23798	247	90	catalpa	catalpa	NOUN
brj-23798	247	91	(	(	PUNCT
brj-23798	247	92	3	3	NUM
brj-23798	247	93	)	)	PUNCT
brj-23798	247	94	0	0	NUM
brj-23798	248	1	0.0	0.0	NUM
brj-23798	248	2	ulmush	ulmush	NOUN
brj-23798	248	3	3	3	NUM
brj-23798	248	4	0	0	NUM
brj-23798	248	5	0.0	0.0	NUM
brj-23798	248	6	-3	-3	SYM
brj-23798	248	7	100.0	100.0	NUM
brj-23798	248	8	ulmuss	ulmuss	ADJ
brj-23798	248	9	8	8	NUM
brj-23798	248	10	8	8	NUM
brj-23798	248	11	100.0	100.0	NUM
brj-23798	248	12	ulmush	ulmush	NOUN
brj-23798	248	13	(	(	PUNCT
brj-23798	248	14	7	7	NUM
brj-23798	248	15	)	)	PUNCT
brj-23798	248	16	celtis	celtis	NOUN
brj-23798	248	17	(	(	PUNCT
brj-23798	248	18	1	1	NUM
brj-23798	248	19	)	)	PUNCT
brj-23798	248	20	0	0	NUM
brj-23798	249	1	0.0	0.0	NUM
brj-23798	249	2	s	s	NOUN
brj-23798	249	3	e	e	X
brj-23798	249	4	m	m	NOUN
brj-23798	249	5	iri	iri	PROPN
brj-23798	249	6	n	n	PRON
brj-23798	249	7	g	g	PROPN
brj-23798	249	8	diospyros	diospyro	NOUN
brj-23798	249	9	3	3	NUM
brj-23798	249	10	0	0	NUM
brj-23798	249	11	0.0	0.0	NUM
brj-23798	249	12	-3	-3	SYM
brj-23798	249	13	100.0	100.0	NUM
brj-23798	249	14	juglansc	juglansc	NOUN
brj-23798	249	15	12	12	NUM
brj-23798	249	16	0	0	NUM
brj-23798	249	17	0.0	0.0	NUM
brj-23798	249	18	-12	-12	NUM
brj-23798	249	19	100.0	100.0	NUM
brj-23798	249	20	juglansw	juglansw	NOUN
brj-23798	249	21	13	13	NUM
brj-23798	249	22	0	0	NUM
brj-23798	249	23	0.0	0.0	NUM
brj-23798	249	24	-13	-13	SYM
brj-23798	249	25	100.0	100.0	NUM
brj-23798	249	26	class	class	NOUN
brj-23798	249	27	labels	label	NOUN
brj-23798	249	28	marked	mark	VERB
brj-23798	249	29	with	with	ADP
brj-23798	249	30	an	an	DET
brj-23798	249	31	asterisk	asterisk	NOUN
brj-23798	249	32	(	(	PUNCT
brj-23798	249	33	*	*	PUNCT
brj-23798	249	34	)	)	PUNCT
brj-23798	249	35	indicate	indicate	VERB
brj-23798	249	36	cross	cross	ADJ
brj-23798	249	37	-	-	ADJ
brj-23798	249	38	domain	domain	ADJ
brj-23798	249	39	misclassifications	misclassification	NOUN
brj-23798	249	40	for	for	ADP
brj-23798	249	41	porosity	porosity	NOUN
brj-23798	249	42	.	.	PUNCT
brj-23798	250	1	class	class	NOUN
brj-23798	250	2	labels	label	NOUN
brj-23798	250	3	highlighted	highlight	VERB
brj-23798	250	4	in	in	ADP
brj-23798	250	5	black	black	ADJ
brj-23798	250	6	indicate	indicate	NOUN
brj-23798	250	7	classes	class	NOUN
brj-23798	250	8	for	for	ADP
brj-23798	250	9	which	which	PRON
brj-23798	250	10	the	the	DET
brj-23798	250	11	domain	domain	NOUN
brj-23798	250	12	-	-	PUNCT
brj-23798	250	13	based	base	VERB
brj-23798	250	14	17rp	17rp	ADJ
brj-23798	250	15	model	model	NOUN
brj-23798	250	16	(	(	PUNCT
brj-23798	250	17	from	from	ADP
brj-23798	250	18	ravidran	ravidran	PROPN
brj-23798	250	19	et	et	PROPN
brj-23798	250	20	al	al	PROPN
brj-23798	250	21	.	.	PROPN
brj-23798	250	22	2022a	2022a	NUM
brj-23798	250	23	)	)	PUNCT
brj-23798	250	24	classified	classify	VERB
brj-23798	250	25	all	all	DET
brj-23798	250	26	specimens	specimen	NOUN
brj-23798	250	27	correctly	correctly	ADV
brj-23798	250	28	but	but	CCONJ
brj-23798	250	29	for	for	ADP
brj-23798	250	30	which	which	PRON
brj-23798	250	31	the	the	DET
brj-23798	250	32	consolidated	consolidated	ADJ
brj-23798	250	33	42dp	42dp	PROPN
brj-23798	250	34	-	-	PUNCT
brj-23798	250	35	rp	rp	NOUN
brj-23798	250	36	-	-	PUNCT
brj-23798	250	37	srp	srp	NOUN
brj-23798	250	38	model	model	NOUN
brj-23798	250	39	misclassified	misclassifie	VERB
brj-23798	250	40	at	at	ADP
brj-23798	250	41	least	least	ADV
brj-23798	250	42	one	one	NUM
brj-23798	250	43	specimen	speciman	NOUN
brj-23798	250	44	.	.	PUNCT
brj-23798	251	1	class	class	NOUN
brj-23798	251	2	labels	label	NOUN
brj-23798	251	3	in	in	ADP
brj-23798	251	4	gray	gray	ADJ
brj-23798	251	5	indicate	indicate	VERB
brj-23798	251	6	the	the	DET
brj-23798	251	7	opposite	opposite	NOUN
brj-23798	251	8	:	:	PUNCT
brj-23798	251	9	the	the	DET
brj-23798	251	10	domain	domain	NOUN
brj-23798	251	11	-	-	PUNCT
brj-23798	251	12	based	base	VERB
brj-23798	251	13	17rp	17rp	ADJ
brj-23798	251	14	model	model	NOUN
brj-23798	251	15	misclassified	misclassifie	VERB
brj-23798	251	16	at	at	ADP
brj-23798	251	17	least	least	ADV
brj-23798	251	18	one	one	NUM
brj-23798	251	19	specimen	speciman	NOUN
brj-23798	251	20	while	while	SCONJ
brj-23798	251	21	the	the	DET
brj-23798	251	22	consolidated	consolidated	ADJ
brj-23798	251	23	42dp	42dp	PROPN
brj-23798	251	24	-	-	PUNCT
brj-23798	251	25	rp	rp	NOUN
brj-23798	251	26	-	-	PUNCT
brj-23798	251	27	srp	srp	NOUN
brj-23798	251	28	model	model	NOUN
brj-23798	251	29	classified	classify	VERB
brj-23798	251	30	all	all	DET
brj-23798	251	31	specimens	specimen	NOUN
brj-23798	251	32	correctly	correctly	ADV
brj-23798	251	33	.	.	PUNCT
brj-23798	252	1	cascading	cascade	VERB
brj-23798	252	2	model	model	NOUN
brj-23798	252	3	scheme	scheme	NOUN
brj-23798	252	4	accuracy	accuracy	NOUN
brj-23798	252	5	the	the	DET
brj-23798	252	6	top-1	top-1	PUNCT
brj-23798	252	7	predictive	predictive	ADJ
brj-23798	252	8	accuracy	accuracy	NOUN
brj-23798	252	9	for	for	ADP
brj-23798	252	10	the	the	DET
brj-23798	252	11	3	3	NUM
brj-23798	252	12	-	-	PUNCT
brj-23798	252	13	class	class	NOUN
brj-23798	252	14	porosity	porosity	NOUN
brj-23798	252	15	model	model	NOUN
brj-23798	252	16	(	(	PUNCT
brj-23798	252	17	3por	3por	NUM
brj-23798	252	18	)	)	PUNCT
brj-23798	252	19	was	be	AUX
brj-23798	252	20	99.8	99.8	NUM
brj-23798	252	21	%	%	NOUN
brj-23798	252	22	.	.	PUNCT
brj-23798	253	1	broken	break	VERB
brj-23798	253	2	down	down	ADP
brj-23798	253	3	by	by	ADP
brj-23798	253	4	porosity	porosity	NOUN
brj-23798	253	5	domain	domain	NOUN
brj-23798	253	6	,	,	PUNCT
brj-23798	253	7	the	the	DET
brj-23798	253	8	ring	ring	NOUN
brj-23798	253	9	-	-	PUNCT
brj-23798	253	10	porous	porous	ADJ
brj-23798	253	11	and	and	CCONJ
brj-23798	253	12	semi	semi	ADJ
brj-23798	253	13	-	-	ADJ
brj-23798	253	14	ring	ring	ADJ
brj-23798	253	15	-	-	PUNCT
brj-23798	253	16	porous	porous	ADJ
brj-23798	253	17	accuracies	accuracy	NOUN
brj-23798	253	18	were	be	AUX
brj-23798	253	19	both	both	PRON
brj-23798	253	20	100.0	100.0	NUM
brj-23798	253	21	%	%	NOUN
brj-23798	253	22	,	,	PUNCT
brj-23798	253	23	while	while	SCONJ
brj-23798	253	24	the	the	DET
brj-23798	253	25	diffuse	diffuse	NOUN
brj-23798	253	26	-	-	PUNCT
brj-23798	253	27	porous	porous	ADJ
brj-23798	253	28	accuracy	accuracy	NOUN
brj-23798	253	29	was	be	AUX
brj-23798	253	30	99.6	99.6	NUM
brj-23798	253	31	%	%	NOUN
brj-23798	253	32	(	(	PUNCT
brj-23798	253	33	fig	fig	NOUN
brj-23798	253	34	.	.	PUNCT
brj-23798	253	35	7	7	NUM
brj-23798	253	36	)	)	PUNCT
brj-23798	253	37	.	.	PUNCT
brj-23798	254	1	the	the	DET
brj-23798	254	2	confusion	confusion	NOUN
brj-23798	254	3	matrix	matrix	NOUN
brj-23798	254	4	for	for	ADP
brj-23798	254	5	3por	3por	PROPN
brj-23798	254	6	appears	appear	VERB
brj-23798	254	7	in	in	ADP
brj-23798	254	8	fig	fig	NOUN
brj-23798	254	9	.	.	PUNCT
brj-23798	255	1	7	7	X
brj-23798	255	2	.	.	X
brj-23798	255	3	one	one	NUM
brj-23798	255	4	specimen	speciman	NOUN
brj-23798	255	5	of	of	ADP
brj-23798	255	6	populus	populus	PROPN
brj-23798	255	7	was	be	AUX
brj-23798	255	8	misclassified	misclassifie	VERB
brj-23798	255	9	as	as	ADP
brj-23798	255	10	semi	semi	ADJ
brj-23798	255	11	-	-	ADJ
brj-23798	255	12	ring	ring	ADJ
brj-23798	255	13	-	-	PUNCT
brj-23798	255	14	porous	porous	ADJ
brj-23798	255	15	,	,	PUNCT
brj-23798	255	16	which	which	PRON
brj-23798	255	17	,	,	PUNCT
brj-23798	255	18	as	as	SCONJ
brj-23798	255	19	noted	note	VERB
brj-23798	255	20	in	in	ADP
brj-23798	255	21	the	the	DET
brj-23798	255	22	introduction	introduction	NOUN
brj-23798	255	23	,	,	PUNCT
brj-23798	255	24	is	be	AUX
brj-23798	255	25	a	a	DET
brj-23798	255	26	sensible	sensible	ADJ
brj-23798	255	27	error	error	NOUN
brj-23798	255	28	(	(	PUNCT
brj-23798	255	29	a	a	DET
brj-23798	255	30	type	type	NOUN
brj-23798	255	31	1	1	NUM
brj-23798	255	32	misclassification	misclassification	NOUN
brj-23798	255	33	,	,	PUNCT
brj-23798	255	34	per	per	ADP
brj-23798	255	35	ravindran	ravindran	NOUN
brj-23798	255	36	et	et	PROPN
brj-23798	255	37	al	al	PROPN
brj-23798	255	38	.	.	PROPN
brj-23798	255	39	2022a	2022a	NUM
brj-23798	255	40	)	)	PUNCT
brj-23798	255	41	for	for	ADP
brj-23798	255	42	this	this	DET
brj-23798	255	43	taxon	taxon	NOUN
brj-23798	255	44	.	.	PUNCT
brj-23798	256	1	if	if	SCONJ
brj-23798	256	2	the	the	DET
brj-23798	256	3	output	output	NOUN
brj-23798	256	4	of	of	ADP
brj-23798	256	5	the	the	DET
brj-23798	256	6	3por	3por	PROPN
brj-23798	256	7	model	model	NOUN
brj-23798	256	8	were	be	AUX
brj-23798	256	9	used	use	VERB
brj-23798	256	10	to	to	PART
brj-23798	256	11	select	select	VERB
brj-23798	256	12	which	which	DET
brj-23798	256	13	domain	domain	NOUN
brj-23798	256	14	-	-	PUNCT
brj-23798	256	15	based	base	VERB
brj-23798	256	16	model	model	NOUN
brj-23798	256	17	to	to	PART
brj-23798	256	18	deploy	deploy	VERB
brj-23798	256	19	next	next	ADV
brj-23798	256	20	,	,	PUNCT
brj-23798	256	21	the	the	DET
brj-23798	256	22	overall	overall	ADJ
brj-23798	256	23	accuracy	accuracy	NOUN
brj-23798	256	24	of	of	ADP
brj-23798	256	25	the	the	DET
brj-23798	256	26	cascading	cascade	VERB
brj-23798	256	27	models	model	NOUN
brj-23798	256	28	would	would	AUX
brj-23798	256	29	be	be	AUX
brj-23798	256	30	the	the	DET
brj-23798	256	31	product	product	NOUN
brj-23798	256	32	of	of	ADP
brj-23798	256	33	the	the	DET
brj-23798	256	34	peer	peer	NOUN
brj-23798	256	35	-	-	PUNCT
brj-23798	256	36	reviewed	review	VERB
brj-23798	256	37	article	article	NOUN
brj-23798	256	38	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	256	39	owens	owens	PROPN
brj-23798	256	40	et	et	PROPN
brj-23798	256	41	al	al	PROPN
brj-23798	256	42	.	.	PROPN
brj-23798	257	1	(	(	PUNCT
brj-23798	257	2	2024	2024	NUM
brj-23798	257	3	)	)	PUNCT
brj-23798	257	4	.	.	PUNCT
brj-23798	258	1	“	"	PUNCT
brj-23798	258	2	computer	computer	NOUN
brj-23798	258	3	-	-	PUNCT
brj-23798	258	4	vision	vision	NOUN
brj-23798	258	5	wood	wood	NOUN
brj-23798	258	6	id	id	NOUN
brj-23798	258	7	-	-	ADJ
brj-23798	258	8	ing	ing	ADJ
brj-23798	258	9	,	,	PUNCT
brj-23798	258	10	”	"	PUNCT
brj-23798	258	11	bioresources	bioresource	NOUN
brj-23798	258	12	19(4	19(4	NUM
brj-23798	258	13	)	)	PUNCT
brj-23798	258	14	,	,	PUNCT
brj-23798	258	15	9741	9741	NUM
brj-23798	258	16	-	-	SYM
brj-23798	258	17	9772	9772	NUM
brj-23798	258	18	.	.	PUNCT
brj-23798	259	1	9757	9757	NUM
brj-23798	259	2	3por	3por	NUM
brj-23798	259	3	model	model	NOUN
brj-23798	259	4	accuracy	accuracy	NOUN
brj-23798	259	5	×	×	NOUN
brj-23798	259	6	the	the	DET
brj-23798	259	7	accuracy	accuracy	NOUN
brj-23798	259	8	of	of	ADP
brj-23798	259	9	respective	respective	ADJ
brj-23798	259	10	domain	domain	NOUN
brj-23798	259	11	-	-	PUNCT
brj-23798	259	12	based	base	VERB
brj-23798	259	13	model	model	NOUN
brj-23798	259	14	(	(	PUNCT
brj-23798	259	15	22dp	22dp	NOUN
brj-23798	259	16	,	,	PUNCT
brj-23798	259	17	17rp	17rp	ADJ
brj-23798	259	18	,	,	PUNCT
brj-23798	259	19	or	or	CCONJ
brj-23798	259	20	3srp	3srp	NOUN
brj-23798	259	21	)	)	PUNCT
brj-23798	259	22	.	.	PUNCT
brj-23798	260	1	the	the	DET
brj-23798	260	2	top-1	top-1	PUNCT
brj-23798	260	3	predictive	predictive	ADJ
brj-23798	260	4	accuracy	accuracy	NOUN
brj-23798	260	5	for	for	ADP
brj-23798	260	6	the	the	DET
brj-23798	260	7	cascading	cascade	VERB
brj-23798	260	8	scheme	scheme	NOUN
brj-23798	260	9	in	in	ADP
brj-23798	260	10	total	total	NOUN
brj-23798	260	11	would	would	AUX
brj-23798	260	12	be	be	AUX
brj-23798	260	13	85.7	85.7	NUM
brj-23798	260	14	%	%	NOUN
brj-23798	260	15	.	.	PUNCT
brj-23798	261	1	broken	break	VERB
brj-23798	261	2	down	down	ADP
brj-23798	261	3	by	by	ADP
brj-23798	261	4	porosity	porosity	NOUN
brj-23798	261	5	domain	domain	NOUN
brj-23798	261	6	,	,	PUNCT
brj-23798	261	7	the	the	DET
brj-23798	261	8	diffuse	diffuse	NOUN
brj-23798	261	9	-	-	PUNCT
brj-23798	261	10	porous	porous	ADJ
brj-23798	261	11	accuracy	accuracy	NOUN
brj-23798	261	12	would	would	AUX
brj-23798	261	13	be	be	AUX
brj-23798	261	14	80.3	80.3	NUM
brj-23798	261	15	%	%	NOUN
brj-23798	261	16	(=	(=	NOUN
brj-23798	261	17	99.6	99.6	NUM
brj-23798	261	18	%	%	NOUN
brj-23798	261	19	×	×	NOUN
brj-23798	261	20	80.6	80.6	NUM
brj-23798	261	21	%	%	NOUN
brj-23798	261	22	)	)	PUNCT
brj-23798	261	23	,	,	PUNCT
brj-23798	261	24	the	the	DET
brj-23798	261	25	ring	ring	NOUN
brj-23798	261	26	-	-	PUNCT
brj-23798	261	27	porous	porous	ADJ
brj-23798	261	28	accuracy	accuracy	NOUN
brj-23798	261	29	91.4	91.4	NUM
brj-23798	261	30	%	%	NOUN
brj-23798	261	31	(=	(=	NOUN
brj-23798	261	32	100.0	100.0	NUM
brj-23798	261	33	%	%	NOUN
brj-23798	261	34	×	×	NOUN
brj-23798	261	35	91.4	91.4	NUM
brj-23798	261	36	%	%	NOUN
brj-23798	261	37	)	)	PUNCT
brj-23798	261	38	,	,	PUNCT
brj-23798	261	39	and	and	CCONJ
brj-23798	261	40	the	the	DET
brj-23798	261	41	semi	semi	ADJ
brj-23798	261	42	-	-	ADJ
brj-23798	261	43	ring	ring	ADJ
brj-23798	261	44	-	-	PUNCT
brj-23798	261	45	porous	porous	ADJ
brj-23798	261	46	accuracy	accuracy	NOUN
brj-23798	261	47	100.0	100.0	NUM
brj-23798	261	48	%	%	NOUN
brj-23798	261	49	(=	(=	NOUN
brj-23798	261	50	100.0	100.0	NUM
brj-23798	261	51	%	%	NOUN
brj-23798	261	52	×	×	NOUN
brj-23798	261	53	100.0	100.0	NUM
brj-23798	261	54	%	%	NOUN
brj-23798	261	55	,	,	PUNCT
brj-23798	261	56	table	table	NOUN
brj-23798	261	57	9	9	NUM
brj-23798	261	58	)	)	PUNCT
brj-23798	261	59	.	.	PUNCT
brj-23798	262	1	fig	fig	NOUN
brj-23798	262	2	.	.	PUNCT
brj-23798	263	1	7	7	X
brj-23798	263	2	.	.	X
brj-23798	263	3	confusion	confusion	NOUN
brj-23798	263	4	matrix	matrix	NOUN
brj-23798	263	5	of	of	ADP
brj-23798	263	6	resnet34	resnet34	NOUN
brj-23798	263	7	field	field	NOUN
brj-23798	263	8	model	model	NOUN
brj-23798	263	9	on	on	ADP
brj-23798	263	10	test	test	NOUN
brj-23798	263	11	specimens	specimen	NOUN
brj-23798	263	12	for	for	ADP
brj-23798	263	13	label	label	NOUN
brj-23798	263	14	space	space	NOUN
brj-23798	263	15	3por	3por	NUM
brj-23798	263	16	.	.	PUNCT
brj-23798	264	1	counts	count	NOUN
brj-23798	264	2	in	in	ADP
brj-23798	264	3	the	the	DET
brj-23798	264	4	diagonal	diagonal	ADJ
brj-23798	264	5	cells	cell	NOUN
brj-23798	264	6	indicate	indicate	VERB
brj-23798	264	7	correct	correct	ADJ
brj-23798	264	8	predictions	prediction	NOUN
brj-23798	264	9	.	.	PUNCT
brj-23798	265	1	the	the	DET
brj-23798	265	2	lone	lone	NOUN
brj-23798	265	3	off	off	ADP
brj-23798	265	4	diagonal	diagonal	ADJ
brj-23798	265	5	misclassification	misclassification	NOUN
brj-23798	265	6	was	be	AUX
brj-23798	265	7	a	a	DET
brj-23798	265	8	specimen	speciman	NOUN
brj-23798	265	9	of	of	ADP
brj-23798	265	10	populus	populus	PROPN
brj-23798	265	11	(	(	PUNCT
brj-23798	265	12	diffuse	diffuse	NOUN
brj-23798	265	13	-	-	PUNCT
brj-23798	265	14	porous	porous	ADJ
brj-23798	265	15	)	)	PUNCT
brj-23798	265	16	mistaken	mistaken	NOUN
brj-23798	265	17	for	for	ADP
brj-23798	265	18	a	a	DET
brj-23798	265	19	semi	semi	ADJ
brj-23798	265	20	-	-	ADJ
brj-23798	265	21	ring	ring	ADJ
brj-23798	265	22	-	-	PUNCT
brj-23798	265	23	porous	porous	ADJ
brj-23798	265	24	wood	wood	NOUN
brj-23798	265	25	.	.	PUNCT
brj-23798	266	1	n=	n=	ADJ
brj-23798	266	2	510	510	NUM
brj-23798	266	3	.	.	PUNCT
brj-23798	266	4	accuracy	accuracy	NOUN
brj-23798	266	5	comparison	comparison	NOUN
brj-23798	266	6	among	among	ADP
brj-23798	266	7	schemes	scheme	NOUN
brj-23798	266	8	the	the	DET
brj-23798	266	9	results	result	NOUN
brj-23798	266	10	of	of	ADP
brj-23798	266	11	all	all	DET
brj-23798	266	12	models	model	NOUN
brj-23798	266	13	/	/	SYM
brj-23798	266	14	schemes	scheme	NOUN
brj-23798	266	15	are	be	AUX
brj-23798	266	16	summarized	summarize	VERB
brj-23798	266	17	and	and	CCONJ
brj-23798	266	18	compared	compare	VERB
brj-23798	266	19	in	in	ADP
brj-23798	266	20	table	table	NOUN
brj-23798	266	21	9	9	NUM
brj-23798	266	22	.	.	PUNCT
brj-23798	266	23	peer	peer	NOUN
brj-23798	266	24	-	-	PUNCT
brj-23798	266	25	reviewed	review	VERB
brj-23798	266	26	article	article	NOUN
brj-23798	266	27	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	266	28	owens	owens	PROPN
brj-23798	266	29	et	et	PROPN
brj-23798	266	30	al	al	PROPN
brj-23798	266	31	.	.	PROPN
brj-23798	267	1	(	(	PUNCT
brj-23798	267	2	2024	2024	NUM
brj-23798	267	3	)	)	PUNCT
brj-23798	267	4	.	.	PUNCT
brj-23798	268	1	“	"	PUNCT
brj-23798	268	2	computer	computer	NOUN
brj-23798	268	3	-	-	PUNCT
brj-23798	268	4	vision	vision	NOUN
brj-23798	268	5	wood	wood	NOUN
brj-23798	268	6	id	id	NOUN
brj-23798	268	7	-	-	ADJ
brj-23798	268	8	ing	ing	ADJ
brj-23798	268	9	,	,	PUNCT
brj-23798	268	10	”	"	PUNCT
brj-23798	268	11	bioresources	bioresource	NOUN
brj-23798	268	12	19(4	19(4	NUM
brj-23798	268	13	)	)	PUNCT
brj-23798	268	14	,	,	PUNCT
brj-23798	268	15	9741	9741	NUM
brj-23798	268	16	-	-	SYM
brj-23798	268	17	9772	9772	NUM
brj-23798	268	18	.	.	PUNCT
brj-23798	269	1	9758	9758	NUM
brj-23798	269	2	table	table	NOUN
brj-23798	269	3	9	9	NUM
brj-23798	269	4	.	.	PUNCT
brj-23798	270	1	summary	summary	NOUN
brj-23798	270	2	counts	count	NOUN
brj-23798	270	3	and	and	CCONJ
brj-23798	270	4	predictive	predictive	ADJ
brj-23798	270	5	accuracies	accuracy	NOUN
brj-23798	270	6	for	for	ADP
brj-23798	270	7	each	each	DET
brj-23798	270	8	model	model	NOUN
brj-23798	270	9	/	/	SYM
brj-23798	270	10	scheme	scheme	NOUN
brj-23798	270	11	porosity	porosity	NOUN
brj-23798	270	12	domain	domain	NOUN
brj-23798	270	13	test	test	NOUN
brj-23798	270	14	specimen	speciman	NOUN
brj-23798	270	15	count	count	VERB
brj-23798	270	16	domainbased	domainbased	ADJ
brj-23798	270	17	model	model	NOUN
brj-23798	270	18	accuracies	accuracy	NOUN
brj-23798	270	19	39dp	39dp	ADJ
brj-23798	270	20	-	-	PUNCT
brj-23798	270	21	rp	rp	ADJ
brj-23798	270	22	model	model	NOUN
brj-23798	270	23	accuracy	accuracy	NOUN
brj-23798	270	24	42dp	42dp	ADJ
brj-23798	270	25	-	-	PUNCT
brj-23798	270	26	rpsrp	rpsrp	PROPN
brj-23798	270	27	model	model	NOUN
brj-23798	270	28	accuracy	accuracy	NOUN
brj-23798	270	29	3por	3por	NUM
brj-23798	270	30	×	×	NOUN
brj-23798	270	31	domain	domain	NOUN
brj-23798	270	32	-	-	PUNCT
brj-23798	270	33	based	base	VERB
brj-23798	270	34	cascading	cascade	VERB
brj-23798	270	35	model	model	NOUN
brj-23798	270	36	accuracies	accuracy	NOUN
brj-23798	270	37	diffuse	diffuse	ADV
brj-23798	270	38	-	-	PUNCT
brj-23798	270	39	porous	porous	ADJ
brj-23798	270	40	284	284	NUM
brj-23798	270	41	80.6%*1	80.6%*1	NUM
brj-23798	270	42	80.1	80.1	NUM
brj-23798	270	43	%	%	NOUN
brj-23798	270	44	69.7	69.7	NUM
brj-23798	270	45	%	%	NOUN
brj-23798	270	46	99.6	99.6	NUM
brj-23798	270	47	%	%	NOUN
brj-23798	270	48	×	×	NOUN
brj-23798	270	49	80.6	80.6	NUM
brj-23798	270	50	%	%	NOUN
brj-23798	270	51	=	=	NOUN
brj-23798	270	52	80.3	80.3	NUM
brj-23798	270	53	%	%	NOUN
brj-23798	270	54	ring	ring	NOUN
brj-23798	270	55	-	-	PUNCT
brj-23798	270	56	porous	porous	ADJ
brj-23798	270	57	198	198	NUM
brj-23798	270	58	91.4%*2	91.4%*2	NUM
brj-23798	270	59	90.0	90.0	NUM
brj-23798	270	60	%	%	NOUN
brj-23798	270	61	83.9	83.9	NUM
brj-23798	270	62	%	%	NOUN
brj-23798	270	63	100.0	100.0	NUM
brj-23798	270	64	%	%	NOUN
brj-23798	270	65	×	×	NOUN
brj-23798	270	66	91.4	91.4	NUM
brj-23798	270	67	%	%	NOUN
brj-23798	270	68	=	=	NOUN
brj-23798	270	69	91.4	91.4	NUM
brj-23798	270	70	%	%	NOUN
brj-23798	270	71	semi	semi	ADJ
brj-23798	270	72	-	-	ADJ
brj-23798	270	73	ringporous	ringporous	ADJ
brj-23798	270	74	28	28	NUM
brj-23798	270	75	100.0	100.0	NUM
brj-23798	270	76	%	%	NOUN
brj-23798	270	77	--100.0	--100.0	NUM
brj-23798	270	78	%	%	NOUN
brj-23798	270	79	100.0	100.0	NUM
brj-23798	270	80	%	%	NOUN
brj-23798	270	81	×	×	NOUN
brj-23798	270	82	100.0	100.0	NUM
brj-23798	270	83	%	%	NOUN
brj-23798	270	84	=	=	NOUN
brj-23798	270	85	100.0	100.0	NUM
brj-23798	270	86	%	%	NOUN
brj-23798	270	87	overall	overall	ADJ
brj-23798	270	88	510	510	NUM
brj-23798	270	89	85.9	85.9	NUM
brj-23798	270	90	%	%	NOUN
brj-23798	270	91	84.2	84.2	NUM
brj-23798	270	92	%	%	NOUN
brj-23798	270	93	77.1	77.1	NUM
brj-23798	270	94	%	%	NOUN
brj-23798	270	95	99.8	99.8	NUM
brj-23798	270	96	%	%	NOUN
brj-23798	270	97	×	×	NOUN
brj-23798	270	98	85.9	85.9	NUM
brj-23798	270	99	%	%	NOUN
brj-23798	270	100	=	=	NOUN
brj-23798	270	101	85.7	85.7	NUM
brj-23798	270	102	%	%	NOUN
brj-23798	270	103	*	*	SYM
brj-23798	270	104	1	1	NUM
brj-23798	270	105	from	from	ADP
brj-23798	270	106	ravindran	ravindran	NOUN
brj-23798	270	107	et	et	PROPN
brj-23798	270	108	al	al	PROPN
brj-23798	270	109	.	.	PROPN
brj-23798	270	110	2022a	2022a	NUM
brj-23798	270	111	;	;	PUNCT
brj-23798	270	112	*	*	SYM
brj-23798	270	113	2	2	NUM
brj-23798	270	114	from	from	ADP
brj-23798	270	115	ravindran	ravindran	NOUN
brj-23798	270	116	et	et	PROPN
brj-23798	270	117	al	al	PROPN
brj-23798	270	118	.	.	PROPN
brj-23798	270	119	2022b	2022b	NUM
brj-23798	270	120	.	.	PUNCT
brj-23798	271	1	table	table	NOUN
brj-23798	271	2	s3	s3	PROPN
brj-23798	271	3	and	and	CCONJ
brj-23798	271	4	figs	fig	NOUN
brj-23798	271	5	.	.	PUNCT
brj-23798	272	1	s1	s1	NOUN
brj-23798	272	2	,	,	PUNCT
brj-23798	272	3	s2	s2	NOUN
brj-23798	272	4	provides	provide	VERB
brj-23798	272	5	the	the	DET
brj-23798	272	6	accuracies	accuracy	NOUN
brj-23798	272	7	of	of	ADP
brj-23798	272	8	the	the	DET
brj-23798	272	9	resnet50	resnet50	NOUN
brj-23798	272	10	field	field	NOUN
brj-23798	272	11	models	model	NOUN
brj-23798	272	12	and	and	CCONJ
brj-23798	272	13	associated	associate	VERB
brj-23798	272	14	confusion	confusion	NOUN
brj-23798	272	15	matrices	matrix	NOUN
brj-23798	272	16	.	.	PUNCT
brj-23798	273	1	the	the	DET
brj-23798	273	2	cross	cross	ADJ
brj-23798	273	3	-	-	ADJ
brj-23798	273	4	validation	validation	ADJ
brj-23798	273	5	accuracies	accuracy	NOUN
brj-23798	273	6	and	and	CCONJ
brj-23798	273	7	confusion	confusion	NOUN
brj-23798	273	8	matrices	matrix	NOUN
brj-23798	273	9	for	for	ADP
brj-23798	273	10	resnet34	resnet34	NOUN
brj-23798	273	11	and	and	CCONJ
brj-23798	273	12	resnet50	resnet50	NOUN
brj-23798	273	13	models	model	NOUN
brj-23798	273	14	are	be	AUX
brj-23798	273	15	presented	present	VERB
brj-23798	273	16	in	in	ADP
brj-23798	273	17	table	table	NOUN
brj-23798	273	18	s4	s4	NOUN
brj-23798	273	19	and	and	CCONJ
brj-23798	273	20	figs	fig	NOUN
brj-23798	273	21	.	.	PUNCT
brj-23798	274	1	s3	s3	PROPN
brj-23798	274	2	–	–	PUNCT
brj-23798	274	3	s6	s6	PROPN
brj-23798	274	4	.	.	PUNCT
brj-23798	275	1	the	the	DET
brj-23798	275	2	results	result	NOUN
brj-23798	275	3	of	of	ADP
brj-23798	275	4	this	this	DET
brj-23798	275	5	investigation	investigation	NOUN
brj-23798	275	6	allow	allow	VERB
brj-23798	275	7	for	for	ADP
brj-23798	275	8	multiple	multiple	ADJ
brj-23798	275	9	inferences	inference	NOUN
brj-23798	275	10	about	about	ADP
brj-23798	275	11	the	the	DET
brj-23798	275	12	impact	impact	NOUN
brj-23798	275	13	of	of	ADP
brj-23798	275	14	increasing	increase	VERB
brj-23798	275	15	class	class	NOUN
brj-23798	275	16	number	number	NOUN
brj-23798	275	17	and	and	CCONJ
brj-23798	275	18	the	the	DET
brj-23798	275	19	viability	viability	NOUN
brj-23798	275	20	of	of	ADP
brj-23798	275	21	employing	employ	VERB
brj-23798	275	22	cascading	cascade	VERB
brj-23798	275	23	model	model	NOUN
brj-23798	275	24	schemes	scheme	NOUN
brj-23798	275	25	.	.	PUNCT
brj-23798	276	1	performance	performance	NOUN
brj-23798	276	2	of	of	ADP
brj-23798	276	3	the	the	DET
brj-23798	276	4	consolidated	consolidated	ADJ
brj-23798	276	5	models	model	NOUN
brj-23798	276	6	while	while	SCONJ
brj-23798	276	7	it	it	PRON
brj-23798	276	8	was	be	AUX
brj-23798	276	9	reasonable	reasonable	ADJ
brj-23798	276	10	to	to	PART
brj-23798	276	11	anticipate	anticipate	VERB
brj-23798	276	12	a	a	DET
brj-23798	276	13	sizable	sizable	ADJ
brj-23798	276	14	drop	drop	NOUN
brj-23798	276	15	in	in	ADP
brj-23798	276	16	predictive	predictive	ADJ
brj-23798	276	17	accuracy	accuracy	NOUN
brj-23798	276	18	when	when	SCONJ
brj-23798	276	19	combining	combine	VERB
brj-23798	276	20	the	the	DET
brj-23798	276	21	22	22	NUM
brj-23798	276	22	-	-	PUNCT
brj-23798	276	23	class	class	NOUN
brj-23798	276	24	dp	dp	NOUN
brj-23798	276	25	and	and	CCONJ
brj-23798	276	26	17	17	NUM
brj-23798	276	27	-	-	PUNCT
brj-23798	276	28	class	class	NOUN
brj-23798	276	29	rp	rp	NOUN
brj-23798	276	30	label	label	NOUN
brj-23798	276	31	spaces	space	NOUN
brj-23798	276	32	,	,	PUNCT
brj-23798	276	33	the	the	DET
brj-23798	276	34	consolidated	consolidated	ADJ
brj-23798	276	35	39	39	NUM
brj-23798	276	36	-	-	PUNCT
brj-23798	276	37	class	class	NOUN
brj-23798	276	38	model	model	NOUN
brj-23798	276	39	(	(	PUNCT
brj-23798	276	40	39dp	39dp	NOUN
brj-23798	276	41	-	-	PUNCT
brj-23798	276	42	rp	rp	NOUN
brj-23798	276	43	)	)	PUNCT
brj-23798	276	44	performed	perform	VERB
brj-23798	276	45	better	well	ADV
brj-23798	276	46	than	than	SCONJ
brj-23798	276	47	expected	expect	VERB
brj-23798	276	48	.	.	PUNCT
brj-23798	277	1	when	when	SCONJ
brj-23798	277	2	compared	compare	VERB
brj-23798	277	3	to	to	ADP
brj-23798	277	4	the	the	DET
brj-23798	277	5	aggregate	aggregate	ADJ
brj-23798	277	6	performance	performance	NOUN
brj-23798	277	7	(	(	PUNCT
brj-23798	277	8	85.9	85.9	NUM
brj-23798	277	9	%	%	NOUN
brj-23798	277	10	)	)	PUNCT
brj-23798	277	11	of	of	ADP
brj-23798	277	12	the	the	DET
brj-23798	277	13	domain	domain	NOUN
brj-23798	277	14	-	-	PUNCT
brj-23798	277	15	based	base	VERB
brj-23798	277	16	22dp	22dp	NOUN
brj-23798	277	17	and	and	CCONJ
brj-23798	277	18	17rp	17rp	ADJ
brj-23798	277	19	models	model	NOUN
brj-23798	277	20	,	,	PUNCT
brj-23798	277	21	the	the	DET
brj-23798	277	22	overall	overall	ADJ
brj-23798	277	23	predictive	predictive	ADJ
brj-23798	277	24	accuracy	accuracy	NOUN
brj-23798	277	25	(	(	PUNCT
brj-23798	277	26	84.2	84.2	NUM
brj-23798	277	27	%	%	NOUN
brj-23798	277	28	)	)	PUNCT
brj-23798	277	29	of	of	ADP
brj-23798	277	30	39dp	39dp	NOUN
brj-23798	277	31	-	-	PUNCT
brj-23798	277	32	rp	rp	NOUN
brj-23798	277	33	fell	fall	VERB
brj-23798	277	34	by	by	ADP
brj-23798	277	35	less	less	ADJ
brj-23798	277	36	than	than	ADP
brj-23798	277	37	2.0	2.0	NUM
brj-23798	277	38	%	%	NOUN
brj-23798	277	39	(	(	PUNCT
brj-23798	277	40	table	table	NOUN
brj-23798	277	41	9	9	NUM
brj-23798	277	42	)	)	PUNCT
brj-23798	277	43	.	.	PUNCT
brj-23798	278	1	breaking	break	VERB
brj-23798	278	2	that	that	DET
brj-23798	278	3	performance	performance	NOUN
brj-23798	278	4	down	down	ADP
brj-23798	278	5	by	by	ADP
brj-23798	278	6	porosity	porosity	NOUN
brj-23798	278	7	domain	domain	NOUN
brj-23798	278	8	,	,	PUNCT
brj-23798	278	9	the	the	DET
brj-23798	278	10	table	table	NOUN
brj-23798	278	11	shows	show	VERB
brj-23798	278	12	a	a	DET
brj-23798	278	13	decrease	decrease	NOUN
brj-23798	278	14	of	of	ADP
brj-23798	278	15	less	less	ADJ
brj-23798	278	16	than	than	ADP
brj-23798	278	17	1.0	1.0	NUM
brj-23798	278	18	%	%	NOUN
brj-23798	278	19	each	each	PRON
brj-23798	278	20	for	for	ADP
brj-23798	278	21	diffuse	diffuse	NOUN
brj-23798	278	22	-	-	PUNCT
brj-23798	278	23	porous	porous	ADJ
brj-23798	278	24	and	and	CCONJ
brj-23798	278	25	ring	ring	NOUN
brj-23798	278	26	-	-	PUNCT
brj-23798	278	27	porous	porous	ADJ
brj-23798	278	28	domains	domain	NOUN
brj-23798	278	29	.	.	PUNCT
brj-23798	279	1	these	these	DET
brj-23798	279	2	data	datum	NOUN
brj-23798	279	3	demonstrate	demonstrate	VERB
brj-23798	279	4	that	that	SCONJ
brj-23798	279	5	an	an	DET
brj-23798	279	6	increase	increase	NOUN
brj-23798	279	7	in	in	ADP
brj-23798	279	8	class	class	NOUN
brj-23798	279	9	number	number	NOUN
brj-23798	279	10	does	do	AUX
brj-23798	279	11	not	not	PART
brj-23798	279	12	necessarily	necessarily	ADV
brj-23798	279	13	result	result	VERB
brj-23798	279	14	in	in	ADP
brj-23798	279	15	sizable	sizable	ADJ
brj-23798	279	16	reductions	reduction	NOUN
brj-23798	279	17	in	in	ADP
brj-23798	279	18	predictive	predictive	ADJ
brj-23798	279	19	accuracy	accuracy	NOUN
brj-23798	279	20	.	.	PUNCT
brj-23798	280	1	in	in	ADP
brj-23798	280	2	this	this	DET
brj-23798	280	3	study	study	NOUN
brj-23798	280	4	,	,	PUNCT
brj-23798	280	5	that	that	PRON
brj-23798	280	6	might	might	AUX
brj-23798	280	7	be	be	AUX
brj-23798	280	8	the	the	DET
brj-23798	280	9	case	case	NOUN
brj-23798	280	10	in	in	ADP
brj-23798	280	11	part	part	NOUN
brj-23798	280	12	because	because	SCONJ
brj-23798	280	13	the	the	DET
brj-23798	280	14	additional	additional	ADJ
brj-23798	280	15	classes	class	NOUN
brj-23798	280	16	were	be	AUX
brj-23798	280	17	fundamentally	fundamentally	ADV
brj-23798	280	18	anatomically	anatomically	ADV
brj-23798	280	19	disparate	disparate	ADJ
brj-23798	280	20	.	.	PUNCT
brj-23798	281	1	it	it	PRON
brj-23798	281	2	is	be	AUX
brj-23798	281	3	plausible	plausible	ADJ
brj-23798	281	4	that	that	SCONJ
brj-23798	281	5	roughly	roughly	ADV
brj-23798	281	6	doubling	double	VERB
brj-23798	281	7	the	the	DET
brj-23798	281	8	number	number	NOUN
brj-23798	281	9	of	of	ADP
brj-23798	281	10	classes	class	NOUN
brj-23798	281	11	in	in	ADP
brj-23798	281	12	a	a	DET
brj-23798	281	13	model	model	NOUN
brj-23798	281	14	with	with	ADP
brj-23798	281	15	anatomically	anatomically	ADV
brj-23798	281	16	similar	similar	ADJ
brj-23798	281	17	classes	class	NOUN
brj-23798	281	18	might	might	AUX
brj-23798	281	19	result	result	VERB
brj-23798	281	20	in	in	ADP
brj-23798	281	21	more	more	ADV
brj-23798	281	22	substantial	substantial	ADJ
brj-23798	281	23	drops	drop	NOUN
brj-23798	281	24	in	in	ADP
brj-23798	281	25	top-1	top-1	DET
brj-23798	281	26	accuracy	accuracy	NOUN
brj-23798	281	27	,	,	PUNCT
brj-23798	281	28	but	but	CCONJ
brj-23798	281	29	until	until	SCONJ
brj-23798	281	30	such	such	ADJ
brj-23798	281	31	studies	study	NOUN
brj-23798	281	32	are	be	AUX
brj-23798	281	33	conducted	conduct	VERB
brj-23798	281	34	,	,	PUNCT
brj-23798	281	35	it	it	PRON
brj-23798	281	36	remains	remain	VERB
brj-23798	281	37	an	an	DET
brj-23798	281	38	open	open	ADJ
brj-23798	281	39	question	question	NOUN
brj-23798	281	40	.	.	PUNCT
brj-23798	282	1	when	when	SCONJ
brj-23798	282	2	consideration	consideration	NOUN
brj-23798	282	3	is	be	AUX
brj-23798	282	4	given	give	VERB
brj-23798	282	5	to	to	ADP
brj-23798	282	6	the	the	DET
brj-23798	282	7	number	number	NOUN
brj-23798	282	8	of	of	ADP
brj-23798	282	9	classes	class	NOUN
brj-23798	282	10	identified	identify	VERB
brj-23798	282	11	without	without	ADP
brj-23798	282	12	error	error	NOUN
brj-23798	282	13	,	,	PUNCT
brj-23798	282	14	39dp	39dp	NOUN
brj-23798	282	15	-	-	PUNCT
brj-23798	282	16	rp	rp	NOUN
brj-23798	282	17	performed	perform	VERB
brj-23798	282	18	worse	bad	ADJ
brj-23798	282	19	than	than	ADP
brj-23798	282	20	the	the	DET
brj-23798	282	21	domain	domain	NOUN
brj-23798	282	22	-	-	PUNCT
brj-23798	282	23	based	base	VERB
brj-23798	282	24	models	model	NOUN
brj-23798	282	25	.	.	PUNCT
brj-23798	283	1	while	while	SCONJ
brj-23798	283	2	22dp	22dp	NOUN
brj-23798	283	3	and	and	CCONJ
brj-23798	283	4	17rp	17rp	ADJ
brj-23798	283	5	collectively	collectively	ADV
brj-23798	283	6	identified	identify	VERB
brj-23798	283	7	20	20	NUM
brj-23798	283	8	out	out	ADP
brj-23798	283	9	of	of	ADP
brj-23798	283	10	39	39	NUM
brj-23798	283	11	classes	class	NOUN
brj-23798	283	12	perfectly	perfectly	ADV
brj-23798	283	13	(	(	PUNCT
brj-23798	283	14	ravindran	ravindran	NOUN
brj-23798	283	15	et	et	PROPN
brj-23798	283	16	al	al	PROPN
brj-23798	283	17	.	.	PROPN
brj-23798	283	18	2022a	2022a	NUM
brj-23798	283	19	)	)	PUNCT
brj-23798	283	20	,	,	PUNCT
brj-23798	283	21	39dp	39dp	NOUN
brj-23798	283	22	-	-	PUNCT
brj-23798	283	23	rpsrp	rpsrp	PROPN
brj-23798	283	24	lagged	lag	VERB
brj-23798	283	25	at	at	ADP
brj-23798	283	26	only	only	ADV
brj-23798	283	27	17	17	NUM
brj-23798	283	28	(	(	PUNCT
brj-23798	283	29	tables	table	NOUN
brj-23798	283	30	5	5	NUM
brj-23798	283	31	and	and	CCONJ
brj-23798	283	32	6	6	NUM
brj-23798	283	33	)	)	PUNCT
brj-23798	283	34	.	.	PUNCT
brj-23798	284	1	these	these	DET
brj-23798	284	2	data	datum	NOUN
brj-23798	284	3	show	show	VERB
brj-23798	284	4	that	that	SCONJ
brj-23798	284	5	although	although	SCONJ
brj-23798	284	6	the	the	DET
brj-23798	284	7	predictive	predictive	ADJ
brj-23798	284	8	accuracy	accuracy	NOUN
brj-23798	284	9	of	of	ADP
brj-23798	284	10	the	the	DET
brj-23798	284	11	39	39	NUM
brj-23798	284	12	-	-	PUNCT
brj-23798	284	13	class	class	NOUN
brj-23798	284	14	model	model	NOUN
brj-23798	284	15	decreased	decrease	VERB
brj-23798	284	16	very	very	ADV
brj-23798	284	17	little	little	ADJ
brj-23798	284	18	,	,	PUNCT
brj-23798	284	19	it	it	PRON
brj-23798	284	20	was	be	AUX
brj-23798	284	21	confusing	confusing	ADJ
brj-23798	284	22	specimens	specimen	NOUN
brj-23798	284	23	among	among	ADP
brj-23798	284	24	more	more	ADJ
brj-23798	284	25	classes	class	NOUN
brj-23798	284	26	,	,	PUNCT
brj-23798	284	27	some	some	PRON
brj-23798	284	28	of	of	ADP
brj-23798	284	29	which	which	PRON
brj-23798	284	30	were	be	AUX
brj-23798	284	31	type	type	NOUN
brj-23798	284	32	3	3	NUM
brj-23798	284	33	misclassifications	misclassification	NOUN
brj-23798	284	34	across	across	ADP
brj-23798	284	35	porosity	porosity	NOUN
brj-23798	284	36	domains	domain	NOUN
brj-23798	284	37	.	.	PUNCT
brj-23798	285	1	when	when	SCONJ
brj-23798	285	2	the	the	DET
brj-23798	285	3	three	three	NUM
brj-23798	285	4	classes	class	NOUN
brj-23798	285	5	of	of	ADP
brj-23798	285	6	semi	semi	ADJ
brj-23798	285	7	-	-	ADJ
brj-23798	285	8	ring	ring	ADJ
brj-23798	285	9	-	-	PUNCT
brj-23798	285	10	porous	porous	ADJ
brj-23798	285	11	woods	wood	NOUN
brj-23798	285	12	were	be	AUX
brj-23798	285	13	added	add	VERB
brj-23798	285	14	to	to	ADP
brj-23798	285	15	the	the	DET
brj-23798	285	16	39	39	NUM
brj-23798	285	17	-	-	PUNCT
brj-23798	285	18	class	class	NOUN
brj-23798	285	19	model	model	NOUN
brj-23798	285	20	to	to	PART
brj-23798	285	21	form	form	VERB
brj-23798	285	22	a	a	DET
brj-23798	285	23	consolidated	consolidated	ADJ
brj-23798	285	24	42	42	NUM
brj-23798	285	25	-	-	PUNCT
brj-23798	285	26	class	class	NOUN
brj-23798	285	27	model	model	NOUN
brj-23798	285	28	,	,	PUNCT
brj-23798	285	29	greater	great	ADJ
brj-23798	285	30	decreases	decrease	NOUN
brj-23798	285	31	in	in	ADP
brj-23798	285	32	predictive	predictive	ADJ
brj-23798	285	33	accuracy	accuracy	NOUN
brj-23798	285	34	were	be	AUX
brj-23798	285	35	observed	observe	VERB
brj-23798	285	36	.	.	PUNCT
brj-23798	286	1	when	when	SCONJ
brj-23798	286	2	compared	compare	VERB
brj-23798	286	3	to	to	ADP
brj-23798	286	4	the	the	DET
brj-23798	286	5	aggregate	aggregate	ADJ
brj-23798	286	6	performance	performance	NOUN
brj-23798	286	7	of	of	ADP
brj-23798	286	8	the	the	DET
brj-23798	286	9	domain	domain	NOUN
brj-23798	286	10	-	-	PUNCT
brj-23798	286	11	based	base	VERB
brj-23798	286	12	22dp	22dp	NOUN
brj-23798	286	13	,	,	PUNCT
brj-23798	286	14	17rp	17rp	ADJ
brj-23798	286	15	,	,	PUNCT
brj-23798	286	16	and	and	CCONJ
brj-23798	286	17	3srp	3srp	NUM
brj-23798	286	18	models	model	NOUN
brj-23798	286	19	(	(	PUNCT
brj-23798	286	20	85.9	85.9	NUM
brj-23798	286	21	%	%	NOUN
brj-23798	286	22	)	)	PUNCT
brj-23798	286	23	,	,	PUNCT
brj-23798	286	24	the	the	DET
brj-23798	286	25	overall	overall	ADJ
brj-23798	286	26	predictive	predictive	ADJ
brj-23798	286	27	accuracy	accuracy	NOUN
brj-23798	286	28	of	of	ADP
brj-23798	286	29	42dp	42dp	NOUN
brj-23798	286	30	-	-	PUNCT
brj-23798	286	31	rp	rp	NOUN
brj-23798	286	32	fell	fall	VERB
brj-23798	286	33	by	by	ADP
brj-23798	286	34	8.8	8.8	NUM
brj-23798	286	35	%	%	NOUN
brj-23798	286	36	(	(	PUNCT
brj-23798	286	37	table	table	NOUN
brj-23798	286	38	9	9	NUM
brj-23798	286	39	)	)	PUNCT
brj-23798	286	40	.	.	PUNCT
brj-23798	287	1	breaking	break	VERB
brj-23798	287	2	that	that	DET
brj-23798	287	3	performance	performance	NOUN
brj-23798	287	4	down	down	ADP
brj-23798	287	5	by	by	ADP
brj-23798	287	6	porosity	porosity	NOUN
brj-23798	287	7	domain	domain	NOUN
brj-23798	287	8	,	,	PUNCT
brj-23798	287	9	the	the	DET
brj-23798	287	10	table	table	NOUN
brj-23798	287	11	shows	show	VERB
brj-23798	287	12	decreases	decrease	NOUN
brj-23798	287	13	of	of	ADP
brj-23798	287	14	10.9	10.9	NUM
brj-23798	287	15	%	%	NOUN
brj-23798	287	16	and	and	CCONJ
brj-23798	287	17	7.5	7.5	NUM
brj-23798	287	18	%	%	NOUN
brj-23798	287	19	,	,	PUNCT
brj-23798	287	20	respectively	respectively	ADV
brj-23798	287	21	,	,	PUNCT
brj-23798	287	22	for	for	ADP
brj-23798	287	23	diffuse	diffuse	NOUN
brj-23798	287	24	-	-	PUNCT
brj-23798	287	25	porous	porous	ADJ
brj-23798	287	26	and	and	CCONJ
brj-23798	287	27	ring	ring	NOUN
brj-23798	287	28	-	-	PUNCT
brj-23798	287	29	porous	porous	ADJ
brj-23798	287	30	domains	domain	NOUN
brj-23798	287	31	.	.	PUNCT
brj-23798	288	1	the	the	DET
brj-23798	288	2	predictive	predictive	ADJ
brj-23798	288	3	accuracy	accuracy	NOUN
brj-23798	288	4	for	for	ADP
brj-23798	288	5	the	the	DET
brj-23798	288	6	semi	semi	ADJ
brj-23798	288	7	-	-	ADJ
brj-23798	288	8	ring	ring	ADJ
brj-23798	288	9	-	-	PUNCT
brj-23798	288	10	porous	porous	ADJ
brj-23798	288	11	woods	wood	NOUN
brj-23798	288	12	remained	remain	VERB
brj-23798	288	13	unchanged	unchanged	ADJ
brj-23798	288	14	at	at	ADP
brj-23798	288	15	100.0	100.0	NUM
brj-23798	288	16	%	%	NOUN
brj-23798	288	17	.	.	PUNCT
brj-23798	289	1	these	these	DET
brj-23798	289	2	data	datum	NOUN
brj-23798	289	3	demonstrate	demonstrate	VERB
brj-23798	289	4	that	that	SCONJ
brj-23798	289	5	an	an	DET
brj-23798	289	6	increase	increase	NOUN
brj-23798	289	7	in	in	ADP
brj-23798	289	8	class	class	NOUN
brj-23798	289	9	number	number	NOUN
brj-23798	289	10	sometimes	sometimes	ADV
brj-23798	289	11	results	result	VERB
brj-23798	289	12	in	in	ADP
brj-23798	289	13	a	a	DET
brj-23798	289	14	sizable	sizable	ADJ
brj-23798	289	15	reduction	reduction	NOUN
brj-23798	289	16	in	in	ADP
brj-23798	289	17	predictive	predictive	ADJ
brj-23798	289	18	accuracy	accuracy	NOUN
brj-23798	289	19	,	,	PUNCT
brj-23798	289	20	but	but	CCONJ
brj-23798	289	21	interestingly	interestingly	ADV
brj-23798	289	22	the	the	DET
brj-23798	289	23	semi	semi	ADJ
brj-23798	289	24	-	-	ADJ
brj-23798	289	25	ring	ring	ADJ
brj-23798	289	26	-	-	PUNCT
brj-23798	289	27	porous	porous	ADJ
brj-23798	289	28	woods	wood	NOUN
brj-23798	289	29	,	,	PUNCT
brj-23798	289	30	which	which	PRON
brj-23798	289	31	in	in	ADP
brj-23798	289	32	broad	broad	ADJ
brj-23798	289	33	terms	term	NOUN
brj-23798	289	34	of	of	ADP
brj-23798	289	35	porosity	porosity	NOUN
brj-23798	289	36	domains	domain	NOUN
brj-23798	289	37	are	be	AUX
brj-23798	289	38	between	between	ADP
brj-23798	289	39	ring	ring	NOUN
brj-23798	289	40	-	-	PUNCT
brj-23798	289	41	porous	porous	ADJ
brj-23798	289	42	and	and	CCONJ
brj-23798	289	43	diffuse	diffuse	NOUN
brj-23798	289	44	-	-	PUNCT
brj-23798	289	45	porous	porous	ADJ
brj-23798	289	46	on	on	ADP
brj-23798	289	47	the	the	DET
brj-23798	289	48	porosity	porosity	NOUN
brj-23798	289	49	continuum	continuum	VERB
brj-23798	289	50	,	,	PUNCT
brj-23798	289	51	did	do	AUX
brj-23798	289	52	not	not	PART
brj-23798	289	53	provide	provide	VERB
brj-23798	289	54	either	either	CCONJ
brj-23798	289	55	source	source	NOUN
brj-23798	289	56	or	or	CCONJ
brj-23798	289	57	sink	sink	NOUN
brj-23798	289	58	misclassifications	misclassification	NOUN
brj-23798	289	59	(	(	PUNCT
brj-23798	289	60	per	per	ADP
brj-23798	289	61	ravindran	ravindran	NOUN
brj-23798	289	62	et	et	PROPN
brj-23798	289	63	al	al	PROPN
brj-23798	289	64	.	.	PROPN
brj-23798	289	65	2022a	2022a	NUM
brj-23798	289	66	)	)	PUNCT
brj-23798	289	67	.	.	PUNCT
brj-23798	290	1	rather	rather	ADV
brj-23798	290	2	,	,	PUNCT
brj-23798	290	3	with	with	ADP
brj-23798	290	4	semi	semi	ADJ
brj-23798	290	5	-	-	ADJ
brj-23798	290	6	ring	ring	ADJ
brj-23798	290	7	-	-	PUNCT
brj-23798	290	8	porous	porous	ADJ
brj-23798	290	9	classes	class	NOUN
brj-23798	290	10	present	present	ADJ
brj-23798	290	11	in	in	ADP
brj-23798	290	12	the	the	DET
brj-23798	290	13	model	model	NOUN
brj-23798	290	14	,	,	PUNCT
brj-23798	290	15	cross	cross	ADJ
brj-23798	290	16	-	-	ADJ
brj-23798	290	17	domain	domain	ADJ
brj-23798	290	18	errors	error	NOUN
brj-23798	290	19	between	between	ADP
brj-23798	290	20	peer	peer	NOUN
brj-23798	290	21	-	-	PUNCT
brj-23798	290	22	reviewed	review	VERB
brj-23798	290	23	article	article	NOUN
brj-23798	290	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	290	25	owens	owens	PROPN
brj-23798	290	26	et	et	PROPN
brj-23798	290	27	al	al	PROPN
brj-23798	290	28	.	.	PROPN
brj-23798	291	1	(	(	PUNCT
brj-23798	291	2	2024	2024	NUM
brj-23798	291	3	)	)	PUNCT
brj-23798	291	4	.	.	PUNCT
brj-23798	292	1	“	"	PUNCT
brj-23798	292	2	computer	computer	NOUN
brj-23798	292	3	-	-	PUNCT
brj-23798	292	4	vision	vision	NOUN
brj-23798	292	5	wood	wood	NOUN
brj-23798	292	6	id	id	NOUN
brj-23798	292	7	-	-	ADJ
brj-23798	292	8	ing	ing	ADJ
brj-23798	292	9	,	,	PUNCT
brj-23798	292	10	”	"	PUNCT
brj-23798	292	11	bioresources	bioresource	NOUN
brj-23798	292	12	19(4	19(4	NUM
brj-23798	292	13	)	)	PUNCT
brj-23798	292	14	,	,	PUNCT
brj-23798	292	15	9741	9741	NUM
brj-23798	292	16	-	-	SYM
brj-23798	292	17	9772	9772	NUM
brj-23798	292	18	.	.	PUNCT
brj-23798	293	1	9759	9759	NUM
brj-23798	293	2	diffuse	diffuse	NOUN
brj-23798	293	3	-	-	PUNCT
brj-23798	293	4	porous	porous	ADJ
brj-23798	293	5	and	and	CCONJ
brj-23798	293	6	ring	ring	NOUN
brj-23798	293	7	-	-	PUNCT
brj-23798	293	8	porous	porous	ADJ
brj-23798	293	9	classes	class	NOUN
brj-23798	293	10	increased	increase	VERB
brj-23798	293	11	,	,	PUNCT
brj-23798	293	12	with	with	ADP
brj-23798	293	13	several	several	ADJ
brj-23798	293	14	diffuse	diffuse	ADJ
brj-23798	293	15	-	-	PUNCT
brj-23798	293	16	porous	porous	ADJ
brj-23798	293	17	woods	wood	NOUN
brj-23798	293	18	misclassified	misclassifie	VERB
brj-23798	293	19	as	as	ADP
brj-23798	293	20	ring	ring	NOUN
brj-23798	293	21	-	-	PUNCT
brj-23798	293	22	porous	porous	ADJ
brj-23798	293	23	woods	wood	NOUN
brj-23798	293	24	,	,	PUNCT
brj-23798	293	25	rather	rather	ADV
brj-23798	293	26	than	than	ADP
brj-23798	293	27	being	be	AUX
brj-23798	293	28	misclassified	misclassifie	VERB
brj-23798	293	29	as	as	ADP
brj-23798	293	30	semi	semi	ADJ
brj-23798	293	31	-	-	ADJ
brj-23798	293	32	ring	ring	ADJ
brj-23798	293	33	-	-	PUNCT
brj-23798	293	34	porous	porous	ADJ
brj-23798	293	35	woods	wood	NOUN
brj-23798	293	36	.	.	PUNCT
brj-23798	294	1	the	the	DET
brj-23798	294	2	anatomical	anatomical	ADJ
brj-23798	294	3	similarity	similarity	NOUN
brj-23798	294	4	between	between	ADP
brj-23798	294	5	the	the	DET
brj-23798	294	6	latewood	latewood	NOUN
brj-23798	294	7	of	of	ADP
brj-23798	294	8	some	some	DET
brj-23798	294	9	ring	ring	NOUN
brj-23798	294	10	-	-	PUNCT
brj-23798	294	11	porous	porous	ADJ
brj-23798	294	12	woods	wood	NOUN
brj-23798	294	13	and	and	CCONJ
brj-23798	294	14	diffuse	diffuse	NOUN
brj-23798	294	15	-	-	PUNCT
brj-23798	294	16	porous	porous	ADJ
brj-23798	294	17	woods	wood	NOUN
brj-23798	294	18	might	might	AUX
brj-23798	294	19	account	account	VERB
brj-23798	294	20	for	for	ADP
brj-23798	294	21	this	this	PRON
brj-23798	294	22	,	,	PUNCT
brj-23798	294	23	but	but	CCONJ
brj-23798	294	24	it	it	PRON
brj-23798	294	25	suggests	suggest	VERB
brj-23798	294	26	that	that	SCONJ
brj-23798	294	27	the	the	DET
brj-23798	294	28	consolidated	consolidated	ADJ
brj-23798	294	29	42	42	NUM
brj-23798	294	30	-	-	PUNCT
brj-23798	294	31	class	class	NOUN
brj-23798	294	32	model	model	NOUN
brj-23798	294	33	is	be	AUX
brj-23798	294	34	not	not	PART
brj-23798	294	35	placing	place	VERB
brj-23798	294	36	sufficient	sufficient	ADJ
brj-23798	294	37	weight	weight	NOUN
brj-23798	294	38	on	on	ADP
brj-23798	294	39	the	the	DET
brj-23798	294	40	presence	presence	NOUN
brj-23798	294	41	of	of	ADP
brj-23798	294	42	large	large	ADJ
brj-23798	294	43	earlywood	earlywood	NOUN
brj-23798	294	44	vessels	vessel	NOUN
brj-23798	294	45	characteristic	characteristic	ADJ
brj-23798	294	46	of	of	ADP
brj-23798	294	47	ring	ring	NOUN
brj-23798	294	48	-	-	PUNCT
brj-23798	294	49	porous	porous	ADJ
brj-23798	294	50	woods	wood	NOUN
brj-23798	294	51	.	.	PUNCT
brj-23798	295	1	when	when	SCONJ
brj-23798	295	2	consideration	consideration	NOUN
brj-23798	295	3	is	be	AUX
brj-23798	295	4	given	give	VERB
brj-23798	295	5	to	to	ADP
brj-23798	295	6	the	the	DET
brj-23798	295	7	number	number	NOUN
brj-23798	295	8	of	of	ADP
brj-23798	295	9	classes	class	NOUN
brj-23798	295	10	identified	identify	VERB
brj-23798	295	11	without	without	ADP
brj-23798	295	12	error	error	NOUN
brj-23798	295	13	,	,	PUNCT
brj-23798	295	14	42dp	42dp	NOUN
brj-23798	295	15	-	-	PUNCT
brj-23798	295	16	rp	rp	NOUN
brj-23798	295	17	-	-	PUNCT
brj-23798	295	18	srp	srp	NOUN
brj-23798	295	19	performed	perform	VERB
brj-23798	295	20	worse	bad	ADJ
brj-23798	295	21	than	than	ADP
brj-23798	295	22	the	the	DET
brj-23798	295	23	domain	domain	NOUN
brj-23798	295	24	-	-	PUNCT
brj-23798	295	25	based	base	VERB
brj-23798	295	26	models	model	NOUN
brj-23798	295	27	.	.	PUNCT
brj-23798	296	1	while	while	SCONJ
brj-23798	296	2	22dp	22dp	NOUN
brj-23798	296	3	,	,	PUNCT
brj-23798	296	4	17rp	17rp	ADJ
brj-23798	296	5	and	and	CCONJ
brj-23798	296	6	3srp	3srp	NOUN
brj-23798	296	7	collectively	collectively	ADV
brj-23798	296	8	identified	identify	VERB
brj-23798	296	9	20	20	NUM
brj-23798	296	10	out	out	ADP
brj-23798	296	11	of	of	ADP
brj-23798	296	12	42	42	NUM
brj-23798	296	13	classes	class	NOUN
brj-23798	296	14	perfectly	perfectly	ADV
brj-23798	296	15	,	,	PUNCT
brj-23798	296	16	42dp	42dp	NOUN
brj-23798	296	17	-	-	PUNCT
brj-23798	296	18	rp	rp	NOUN
brj-23798	296	19	-	-	PUNCT
brj-23798	296	20	srp	srp	NOUN
brj-23798	296	21	lagged	lag	VERB
brj-23798	296	22	at	at	ADP
brj-23798	296	23	only	only	ADV
brj-23798	296	24	17	17	NUM
brj-23798	296	25	.	.	PUNCT
brj-23798	297	1	these	these	DET
brj-23798	297	2	data	datum	NOUN
brj-23798	297	3	show	show	VERB
brj-23798	297	4	that	that	SCONJ
brj-23798	297	5	the	the	DET
brj-23798	297	6	sizable	sizable	ADJ
brj-23798	297	7	decrease	decrease	NOUN
brj-23798	297	8	in	in	ADP
brj-23798	297	9	predictive	predictive	ADJ
brj-23798	297	10	accuracy	accuracy	NOUN
brj-23798	297	11	of	of	ADP
brj-23798	297	12	the	the	DET
brj-23798	297	13	42	42	NUM
brj-23798	297	14	-	-	PUNCT
brj-23798	297	15	class	class	NOUN
brj-23798	297	16	consolidated	consolidated	ADJ
brj-23798	297	17	model	model	NOUN
brj-23798	297	18	was	be	AUX
brj-23798	297	19	accompanied	accompany	VERB
brj-23798	297	20	by	by	ADP
brj-23798	297	21	confusion	confusion	NOUN
brj-23798	297	22	among	among	ADP
brj-23798	297	23	more	more	ADJ
brj-23798	297	24	classes	class	NOUN
brj-23798	297	25	.	.	PUNCT
brj-23798	298	1	viability	viability	NOUN
brj-23798	298	2	of	of	ADP
brj-23798	298	3	the	the	DET
brj-23798	298	4	cascading	cascade	VERB
brj-23798	298	5	model	model	NOUN
brj-23798	298	6	scheme	scheme	NOUN
brj-23798	298	7	as	as	ADV
brj-23798	298	8	long	long	ADV
brj-23798	298	9	as	as	SCONJ
brj-23798	298	10	the	the	DET
brj-23798	298	11	predictive	predictive	ADJ
brj-23798	298	12	accuracy	accuracy	NOUN
brj-23798	298	13	of	of	ADP
brj-23798	298	14	the	the	DET
brj-23798	298	15	root	root	NOUN
brj-23798	298	16	model	model	NOUN
brj-23798	298	17	in	in	ADP
brj-23798	298	18	a	a	DET
brj-23798	298	19	cascade	cascade	NOUN
brj-23798	298	20	(	(	PUNCT
brj-23798	298	21	in	in	ADP
brj-23798	298	22	this	this	DET
brj-23798	298	23	case	case	NOUN
brj-23798	298	24	the	the	DET
brj-23798	298	25	3por	3por	NUM
brj-23798	298	26	model	model	NOUN
brj-23798	298	27	)	)	PUNCT
brj-23798	298	28	is	be	AUX
brj-23798	298	29	perfect	perfect	ADJ
brj-23798	298	30	–	–	PUNCT
brj-23798	298	31	or	or	CCONJ
brj-23798	298	32	close	close	ADJ
brj-23798	298	33	to	to	PART
brj-23798	298	34	perfect	perfect	VERB
brj-23798	298	35	–	–	PUNCT
brj-23798	298	36	cascading	cascade	VERB
brj-23798	298	37	models	model	NOUN
brj-23798	298	38	seem	seem	VERB
brj-23798	298	39	to	to	PART
brj-23798	298	40	be	be	AUX
brj-23798	298	41	a	a	DET
brj-23798	298	42	viable	viable	ADJ
brj-23798	298	43	way	way	NOUN
brj-23798	298	44	to	to	PART
brj-23798	298	45	mitigate	mitigate	VERB
brj-23798	298	46	the	the	DET
brj-23798	298	47	loss	loss	NOUN
brj-23798	298	48	of	of	ADP
brj-23798	298	49	accuracy	accuracy	NOUN
brj-23798	298	50	incurred	incur	VERB
brj-23798	298	51	by	by	ADP
brj-23798	298	52	the	the	DET
brj-23798	298	53	consolidated	consolidated	ADJ
brj-23798	298	54	models	model	NOUN
brj-23798	298	55	,	,	PUNCT
brj-23798	298	56	especially	especially	ADV
brj-23798	298	57	42dp	42dp	NOUN
brj-23798	298	58	-	-	PUNCT
brj-23798	298	59	rpsrp	rpsrp	NOUN
brj-23798	298	60	.	.	PUNCT
brj-23798	299	1	as	as	SCONJ
brj-23798	299	2	the	the	DET
brj-23798	299	3	overall	overall	ADJ
brj-23798	299	4	accuracy	accuracy	NOUN
brj-23798	299	5	of	of	ADP
brj-23798	299	6	the	the	DET
brj-23798	299	7	cascading	cascade	VERB
brj-23798	299	8	scheme	scheme	NOUN
brj-23798	299	9	is	be	AUX
brj-23798	299	10	the	the	DET
brj-23798	299	11	mathematical	mathematical	ADJ
brj-23798	299	12	product	product	NOUN
brj-23798	299	13	of	of	ADP
brj-23798	299	14	predictive	predictive	ADJ
brj-23798	299	15	accuracies	accuracy	NOUN
brj-23798	299	16	of	of	ADP
brj-23798	299	17	the	the	DET
brj-23798	299	18	root	root	NOUN
brj-23798	299	19	and	and	CCONJ
brj-23798	299	20	subsequent	subsequent	ADJ
brj-23798	299	21	level	level	NOUN
brj-23798	299	22	models	model	NOUN
brj-23798	299	23	,	,	PUNCT
brj-23798	299	24	less	less	ADJ
brj-23798	299	25	-	-	PUNCT
brj-23798	299	26	than	than	ADP
brj-23798	299	27	-	-	PUNCT
brj-23798	299	28	nearly	nearly	ADV
brj-23798	299	29	-	-	PUNCT
brj-23798	299	30	perfect	perfect	ADJ
brj-23798	299	31	performance	performance	NOUN
brj-23798	299	32	at	at	ADP
brj-23798	299	33	the	the	DET
brj-23798	299	34	root	root	NOUN
brj-23798	299	35	could	could	AUX
brj-23798	299	36	ruin	ruin	VERB
brj-23798	299	37	the	the	DET
brj-23798	299	38	prospects	prospect	NOUN
brj-23798	299	39	of	of	ADP
brj-23798	299	40	mitigation	mitigation	NOUN
brj-23798	299	41	at	at	ADP
brj-23798	299	42	deeper	deep	ADJ
brj-23798	299	43	nodes	node	NOUN
brj-23798	299	44	.	.	PUNCT
brj-23798	300	1	this	this	PRON
brj-23798	300	2	would	would	AUX
brj-23798	300	3	apply	apply	VERB
brj-23798	300	4	even	even	ADV
brj-23798	300	5	more	more	ADV
brj-23798	300	6	so	so	ADV
brj-23798	300	7	to	to	ADP
brj-23798	300	8	cascading	cascade	VERB
brj-23798	300	9	model	model	NOUN
brj-23798	300	10	schemes	scheme	NOUN
brj-23798	300	11	deeper	deep	ADJ
brj-23798	300	12	than	than	ADP
brj-23798	300	13	two	two	NUM
brj-23798	300	14	levels	level	NOUN
brj-23798	300	15	.	.	PUNCT
brj-23798	301	1	another	another	DET
brj-23798	301	2	benefit	benefit	NOUN
brj-23798	301	3	of	of	ADP
brj-23798	301	4	the	the	DET
brj-23798	301	5	cascading	cascade	VERB
brj-23798	301	6	model	model	NOUN
brj-23798	301	7	scheme	scheme	NOUN
brj-23798	301	8	for	for	ADP
brj-23798	301	9	classification	classification	NOUN
brj-23798	301	10	of	of	ADP
brj-23798	301	11	north	north	ADJ
brj-23798	301	12	american	american	ADJ
brj-23798	301	13	hardwoods	hardwood	NOUN
brj-23798	301	14	is	be	AUX
brj-23798	301	15	the	the	DET
brj-23798	301	16	reduction	reduction	NOUN
brj-23798	301	17	of	of	ADP
brj-23798	301	18	cross	cross	ADJ
brj-23798	301	19	-	-	ADJ
brj-23798	301	20	domain	domain	ADJ
brj-23798	301	21	misidentifications	misidentification	NOUN
brj-23798	301	22	for	for	ADP
brj-23798	301	23	porosity	porosity	NOUN
brj-23798	301	24	.	.	PUNCT
brj-23798	302	1	if	if	SCONJ
brj-23798	302	2	the	the	DET
brj-23798	302	3	3por	3por	PROPN
brj-23798	302	4	model	model	NOUN
brj-23798	302	5	were	be	AUX
brj-23798	302	6	perfect	perfect	ADJ
brj-23798	302	7	and	and	CCONJ
brj-23798	302	8	22dp	22dp	NUM
brj-23798	302	9	,	,	PUNCT
brj-23798	302	10	17rp	17rp	ADJ
brj-23798	302	11	and	and	CCONJ
brj-23798	302	12	3srp	3srp	PROPN
brj-23798	302	13	exclusively	exclusively	ADV
brj-23798	302	14	comprise	comprise	VERB
brj-23798	302	15	diffuseporous	diffuseporous	ADJ
brj-23798	302	16	,	,	PUNCT
brj-23798	302	17	ring	ring	NOUN
brj-23798	302	18	-	-	PUNCT
brj-23798	302	19	porous	porous	ADJ
brj-23798	302	20	,	,	PUNCT
brj-23798	302	21	and	and	CCONJ
brj-23798	302	22	semi	semi	ADJ
brj-23798	302	23	-	-	ADJ
brj-23798	302	24	ring	ring	ADJ
brj-23798	302	25	-	-	PUNCT
brj-23798	302	26	porous	porous	ADJ
brj-23798	302	27	classes	class	NOUN
brj-23798	302	28	,	,	PUNCT
brj-23798	302	29	respectively	respectively	ADV
brj-23798	302	30	,	,	PUNCT
brj-23798	302	31	there	there	PRON
brj-23798	302	32	would	would	AUX
brj-23798	302	33	be	be	AUX
brj-23798	302	34	no	no	DET
brj-23798	302	35	opportunity	opportunity	NOUN
brj-23798	302	36	for	for	SCONJ
brj-23798	302	37	cross	cross	ADJ
brj-23798	302	38	-	-	ADJ
brj-23798	302	39	domain	domain	ADJ
brj-23798	302	40	misidentification	misidentification	NOUN
brj-23798	302	41	to	to	PART
brj-23798	302	42	occur	occur	VERB
brj-23798	302	43	.	.	PUNCT
brj-23798	303	1	of	of	ADP
brj-23798	303	2	course	course	NOUN
brj-23798	303	3	,	,	PUNCT
brj-23798	303	4	the	the	DET
brj-23798	303	5	misidentification	misidentification	NOUN
brj-23798	303	6	of	of	ADP
brj-23798	303	7	one	one	NUM
brj-23798	303	8	populus	populus	ADJ
brj-23798	303	9	specimen	speciman	NOUN
brj-23798	303	10	in	in	ADP
brj-23798	303	11	the	the	DET
brj-23798	303	12	3por	3por	NUM
brj-23798	303	13	model	model	NOUN
brj-23798	303	14	(	(	PUNCT
brj-23798	303	15	fig	fig	NOUN
brj-23798	303	16	.	.	PUNCT
brj-23798	304	1	7	7	X
brj-23798	304	2	)	)	PUNCT
brj-23798	304	3	guarantees	guarantee	VERB
brj-23798	304	4	a	a	DET
brj-23798	304	5	cross	cross	ADJ
brj-23798	304	6	-	-	ADJ
brj-23798	304	7	domain	domain	ADJ
brj-23798	304	8	misclassification	misclassification	NOUN
brj-23798	304	9	at	at	ADP
brj-23798	304	10	the	the	DET
brj-23798	304	11	first	first	ADJ
brj-23798	304	12	level	level	NOUN
brj-23798	304	13	due	due	ADP
brj-23798	304	14	to	to	ADP
brj-23798	304	15	those	those	DET
brj-23798	304	16	same	same	ADJ
brj-23798	304	17	conditions	condition	NOUN
brj-23798	304	18	.	.	PUNCT
brj-23798	305	1	this	this	PRON
brj-23798	305	2	is	be	AUX
brj-23798	305	3	emphasizing	emphasize	VERB
brj-23798	305	4	the	the	DET
brj-23798	305	5	importance	importance	NOUN
brj-23798	305	6	of	of	ADP
brj-23798	305	7	perfect	perfect	ADJ
brj-23798	305	8	-	-	PUNCT
brj-23798	305	9	to	to	ADP
brj-23798	305	10	-	-	PUNCT
brj-23798	305	11	near	near	ADP
brj-23798	305	12	-	-	PUNCT
brj-23798	305	13	perfect	perfect	ADJ
brj-23798	305	14	predictive	predictive	ADJ
brj-23798	305	15	accuracy	accuracy	NOUN
brj-23798	305	16	of	of	ADP
brj-23798	305	17	the	the	DET
brj-23798	305	18	root	root	NOUN
brj-23798	305	19	model	model	NOUN
brj-23798	305	20	.	.	PUNCT
brj-23798	306	1	within	within	ADP
brj-23798	306	2	the	the	DET
brj-23798	306	3	context	context	NOUN
brj-23798	306	4	of	of	ADP
brj-23798	306	5	this	this	DET
brj-23798	306	6	work	work	NOUN
brj-23798	306	7	the	the	DET
brj-23798	306	8	goal	goal	NOUN
brj-23798	306	9	is	be	AUX
brj-23798	306	10	to	to	PART
brj-23798	306	11	deploy	deploy	VERB
brj-23798	306	12	already	already	ADV
brj-23798	306	13	-	-	PUNCT
brj-23798	306	14	developed	develop	VERB
brj-23798	306	15	models	model	NOUN
brj-23798	306	16	,	,	PUNCT
brj-23798	306	17	thus	thus	ADV
brj-23798	306	18	the	the	DET
brj-23798	306	19	emphasis	emphasis	NOUN
brj-23798	306	20	on	on	ADP
brj-23798	306	21	a	a	DET
brj-23798	306	22	high	high	ADV
brj-23798	306	23	-	-	PUNCT
brj-23798	306	24	performing	perform	VERB
brj-23798	306	25	root	root	NOUN
brj-23798	306	26	level	level	NOUN
brj-23798	306	27	classifier	classifier	NOUN
brj-23798	306	28	.	.	PUNCT
brj-23798	307	1	if	if	SCONJ
brj-23798	307	2	one	one	NUM
brj-23798	307	3	were	be	AUX
brj-23798	307	4	developing	develop	VERB
brj-23798	307	5	an	an	DET
brj-23798	307	6	entirely	entirely	ADV
brj-23798	307	7	new	new	ADJ
brj-23798	307	8	cascade	cascade	NOUN
brj-23798	307	9	of	of	ADP
brj-23798	307	10	trained	train	VERB
brj-23798	307	11	classifiers	classifier	NOUN
brj-23798	307	12	,	,	PUNCT
brj-23798	307	13	classes	class	NOUN
brj-23798	307	14	that	that	PRON
brj-23798	307	15	were	be	AUX
brj-23798	307	16	misclassified	misclassifie	VERB
brj-23798	307	17	by	by	ADP
brj-23798	307	18	rootand	rootand	NOUN
brj-23798	307	19	first	first	ADJ
brj-23798	307	20	-	-	PUNCT
brj-23798	307	21	level	level	NOUN
brj-23798	307	22	models	model	NOUN
brj-23798	307	23	could	could	AUX
brj-23798	307	24	be	be	AUX
brj-23798	307	25	included	include	VERB
brj-23798	307	26	in	in	ADP
brj-23798	307	27	all	all	DET
brj-23798	307	28	daughter	daughter	NOUN
brj-23798	307	29	nodes	node	NOUN
brj-23798	307	30	where	where	SCONJ
brj-23798	307	31	they	they	PRON
brj-23798	307	32	appeared	appear	VERB
brj-23798	307	33	.	.	PUNCT
brj-23798	308	1	such	such	DET
brj-23798	308	2	an	an	DET
brj-23798	308	3	approach	approach	NOUN
brj-23798	308	4	is	be	AUX
brj-23798	308	5	also	also	ADV
brj-23798	308	6	used	use	VERB
brj-23798	308	7	in	in	ADP
brj-23798	308	8	the	the	DET
brj-23798	308	9	better	well	ADV
brj-23798	308	10	-	-	PUNCT
brj-23798	308	11	informed	inform	VERB
brj-23798	308	12	wood	wood	NOUN
brj-23798	308	13	anatomical	anatomical	ADJ
brj-23798	308	14	keys	key	NOUN
brj-23798	308	15	–	–	PUNCT
brj-23798	308	16	taxa	taxa	NOUN
brj-23798	308	17	that	that	PRON
brj-23798	308	18	a	a	PRON
brj-23798	308	19	variably	variably	ADV
brj-23798	308	20	ring	ring	NOUN
brj-23798	308	21	-	-	PUNCT
brj-23798	308	22	porous	porous	ADJ
brj-23798	308	23	or	or	CCONJ
brj-23798	308	24	semi	semi	ADJ
brj-23798	308	25	-	-	ADJ
brj-23798	308	26	ringporous	ringporous	ADJ
brj-23798	308	27	,	,	PUNCT
brj-23798	308	28	for	for	ADP
brj-23798	308	29	example	example	NOUN
brj-23798	308	30	,	,	PUNCT
brj-23798	308	31	are	be	AUX
brj-23798	308	32	included	include	VERB
brj-23798	308	33	in	in	ADP
brj-23798	308	34	both	both	DET
brj-23798	308	35	sections	section	NOUN
brj-23798	308	36	of	of	ADP
brj-23798	308	37	the	the	DET
brj-23798	308	38	key	key	NOUN
brj-23798	308	39	(	(	PUNCT
brj-23798	308	40	e.g.	e.g.	ADV
brj-23798	308	41	arévalo	arévalo	NOUN
brj-23798	308	42	and	and	CCONJ
brj-23798	308	43	wiedenhoeft	wiedenhoeft	VERB
brj-23798	308	44	2022	2022	NUM
brj-23798	308	45	)	)	PUNCT
brj-23798	308	46	.	.	PUNCT
brj-23798	309	1	implications	implication	NOUN
brj-23798	309	2	for	for	ADP
brj-23798	309	3	future	future	ADJ
brj-23798	309	4	cvwid	cvwid	NOUN
brj-23798	309	5	model	model	NOUN
brj-23798	309	6	design	design	NOUN
brj-23798	309	7	while	while	SCONJ
brj-23798	309	8	models	model	NOUN
brj-23798	309	9	with	with	ADP
brj-23798	309	10	fewer	few	ADJ
brj-23798	309	11	classes	class	NOUN
brj-23798	309	12	might	might	AUX
brj-23798	309	13	suffice	suffice	VERB
brj-23798	309	14	for	for	ADP
brj-23798	309	15	wood	wood	NOUN
brj-23798	309	16	products	product	NOUN
brj-23798	309	17	manufactured	manufacture	VERB
brj-23798	309	18	from	from	ADP
brj-23798	309	19	temperate	temperate	ADJ
brj-23798	309	20	logs	log	NOUN
brj-23798	309	21	harvested	harvest	VERB
brj-23798	309	22	in	in	ADP
brj-23798	309	23	the	the	DET
brj-23798	309	24	u.s.a	u.s.a	NOUN
brj-23798	309	25	.	.	PROPN
brj-23798	309	26	,	,	PUNCT
brj-23798	309	27	imported	import	VERB
brj-23798	309	28	wood	wood	NOUN
brj-23798	309	29	products	product	NOUN
brj-23798	309	30	necessitate	necessitate	ADJ
brj-23798	309	31	the	the	DET
brj-23798	309	32	use	use	NOUN
brj-23798	309	33	of	of	ADP
brj-23798	309	34	cvwid	cvwid	NOUN
brj-23798	309	35	models	model	NOUN
brj-23798	309	36	that	that	PRON
brj-23798	309	37	can	can	AUX
brj-23798	309	38	identify	identify	VERB
brj-23798	309	39	a	a	DET
brj-23798	309	40	greater	great	ADJ
brj-23798	309	41	number	number	NOUN
brj-23798	309	42	of	of	ADP
brj-23798	309	43	woods	wood	NOUN
brj-23798	309	44	potentially	potentially	ADV
brj-23798	309	45	from	from	ADP
brj-23798	309	46	other	other	ADJ
brj-23798	309	47	continents	continent	NOUN
brj-23798	309	48	including	include	VERB
brj-23798	309	49	tropical	tropical	ADJ
brj-23798	309	50	woods	wood	NOUN
brj-23798	309	51	,	,	PUNCT
brj-23798	309	52	many	many	ADJ
brj-23798	309	53	of	of	ADP
brj-23798	309	54	which	which	PRON
brj-23798	309	55	lack	lack	VERB
brj-23798	309	56	growth	growth	NOUN
brj-23798	309	57	rings	ring	NOUN
brj-23798	309	58	altogether	altogether	ADV
brj-23798	309	59	,	,	PUNCT
brj-23798	309	60	thus	thus	ADV
brj-23798	309	61	rendering	render	VERB
brj-23798	309	62	the	the	DET
brj-23798	309	63	3por	3por	NUM
brj-23798	309	64	model	model	NOUN
brj-23798	309	65	functionally	functionally	ADV
brj-23798	309	66	irrelevant	irrelevant	ADJ
brj-23798	309	67	in	in	ADP
brj-23798	309	68	the	the	DET
brj-23798	309	69	long	long	ADJ
brj-23798	309	70	term	term	NOUN
brj-23798	309	71	.	.	PUNCT
brj-23798	310	1	as	as	SCONJ
brj-23798	310	2	the	the	DET
brj-23798	310	3	need	need	NOUN
brj-23798	310	4	for	for	ADP
brj-23798	310	5	expanding	expand	VERB
brj-23798	310	6	the	the	DET
brj-23798	310	7	taxonomic	taxonomic	ADJ
brj-23798	310	8	coverage	coverage	NOUN
brj-23798	310	9	of	of	ADP
brj-23798	310	10	cvwid	cvwid	NOUN
brj-23798	310	11	models	model	NOUN
brj-23798	310	12	grows	grow	VERB
brj-23798	310	13	,	,	PUNCT
brj-23798	310	14	developers	developer	NOUN
brj-23798	310	15	must	must	AUX
brj-23798	310	16	discern	discern	VERB
brj-23798	310	17	ways	way	NOUN
brj-23798	310	18	to	to	PART
brj-23798	310	19	mitigate	mitigate	VERB
brj-23798	310	20	both	both	CCONJ
brj-23798	310	21	predictive	predictive	ADJ
brj-23798	310	22	accuracy	accuracy	NOUN
brj-23798	310	23	reduction	reduction	NOUN
brj-23798	310	24	and	and	CCONJ
brj-23798	310	25	cross	cross	ADJ
brj-23798	310	26	-	-	ADJ
brj-23798	310	27	domain	domain	ADJ
brj-23798	310	28	misidentifications	misidentification	NOUN
brj-23798	310	29	in	in	ADP
brj-23798	310	30	larger	large	ADJ
brj-23798	310	31	models	model	NOUN
brj-23798	310	32	,	,	PUNCT
brj-23798	310	33	and	and	CCONJ
brj-23798	310	34	cascading	cascade	VERB
brj-23798	310	35	model	model	NOUN
brj-23798	310	36	schemes	scheme	NOUN
brj-23798	310	37	might	might	AUX
brj-23798	310	38	prove	prove	VERB
brj-23798	310	39	useful	useful	ADJ
brj-23798	310	40	,	,	PUNCT
brj-23798	310	41	but	but	CCONJ
brj-23798	310	42	the	the	DET
brj-23798	310	43	extent	extent	NOUN
brj-23798	310	44	to	to	PART
brj-23798	310	45	which	which	PRON
brj-23798	310	46	they	they	PRON
brj-23798	310	47	are	be	AUX
brj-23798	310	48	scalable	scalable	ADJ
brj-23798	310	49	is	be	AUX
brj-23798	310	50	unknown	unknown	ADJ
brj-23798	310	51	.	.	PUNCT
brj-23798	311	1	cascading	cascade	VERB
brj-23798	311	2	model	model	NOUN
brj-23798	311	3	schemes	scheme	NOUN
brj-23798	311	4	also	also	ADV
brj-23798	311	5	create	create	VERB
brj-23798	311	6	a	a	DET
brj-23798	311	7	training	training	NOUN
brj-23798	311	8	problem	problem	NOUN
brj-23798	311	9	in	in	ADP
brj-23798	311	10	that	that	PRON
brj-23798	311	11	when	when	SCONJ
brj-23798	311	12	a	a	DET
brj-23798	311	13	new	new	ADJ
brj-23798	311	14	class	class	NOUN
brj-23798	311	15	is	be	AUX
brj-23798	311	16	added	add	VERB
brj-23798	311	17	,	,	PUNCT
brj-23798	311	18	models	model	NOUN
brj-23798	311	19	at	at	ADP
brj-23798	311	20	every	every	DET
brj-23798	311	21	tier	tier	NOUN
brj-23798	311	22	of	of	ADP
brj-23798	311	23	the	the	DET
brj-23798	311	24	decision	decision	NOUN
brj-23798	311	25	tree	tree	NOUN
brj-23798	311	26	might	might	AUX
brj-23798	311	27	have	have	VERB
brj-23798	311	28	to	to	PART
brj-23798	311	29	be	be	AUX
brj-23798	311	30	retrained	retrain	VERB
brj-23798	311	31	.	.	PUNCT
brj-23798	312	1	to	to	PART
brj-23798	312	2	reduce	reduce	VERB
brj-23798	312	3	that	that	DET
brj-23798	312	4	burden	burden	NOUN
brj-23798	312	5	,	,	PUNCT
brj-23798	312	6	developing	develop	VERB
brj-23798	312	7	highly	highly	ADV
brj-23798	312	8	accurate	accurate	ADJ
brj-23798	312	9	root	root	NOUN
brj-23798	312	10	and	and	CCONJ
brj-23798	312	11	first	first	ADJ
brj-23798	312	12	-	-	PUNCT
brj-23798	312	13	level	level	NOUN
brj-23798	312	14	classifiers	classifier	NOUN
brj-23798	312	15	peer	peer	NOUN
brj-23798	312	16	-	-	PUNCT
brj-23798	312	17	reviewed	review	VERB
brj-23798	312	18	article	article	NOUN
brj-23798	312	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	312	20	owens	owens	PROPN
brj-23798	312	21	et	et	PROPN
brj-23798	312	22	al	al	PROPN
brj-23798	312	23	.	.	PROPN
brj-23798	313	1	(	(	PUNCT
brj-23798	313	2	2024	2024	NUM
brj-23798	313	3	)	)	PUNCT
brj-23798	313	4	.	.	PUNCT
brj-23798	314	1	“	"	PUNCT
brj-23798	314	2	computer	computer	NOUN
brj-23798	314	3	-	-	PUNCT
brj-23798	314	4	vision	vision	NOUN
brj-23798	314	5	wood	wood	NOUN
brj-23798	314	6	id	id	NOUN
brj-23798	314	7	-	-	ADJ
brj-23798	314	8	ing	ing	ADJ
brj-23798	314	9	,	,	PUNCT
brj-23798	314	10	”	"	PUNCT
brj-23798	314	11	bioresources	bioresource	NOUN
brj-23798	314	12	19(4	19(4	NUM
brj-23798	314	13	)	)	PUNCT
brj-23798	314	14	,	,	PUNCT
brj-23798	314	15	9741	9741	NUM
brj-23798	314	16	-	-	SYM
brj-23798	314	17	9772	9772	NUM
brj-23798	314	18	.	.	PUNCT
brj-23798	315	1	9760	9760	NUM
brj-23798	315	2	targeting	target	VERB
brj-23798	315	3	crisp	crisp	ADJ
brj-23798	315	4	categorical	categorical	ADJ
brj-23798	315	5	traits	trait	NOUN
brj-23798	315	6	(	(	PUNCT
brj-23798	315	7	e.g.	e.g.	ADV
brj-23798	315	8	vessels	vessel	NOUN
brj-23798	315	9	present	present	ADJ
brj-23798	315	10	vs.	vs.	ADP
brj-23798	315	11	vessels	vessel	NOUN
brj-23798	315	12	absent	absent	ADJ
brj-23798	315	13	,	,	PUNCT
brj-23798	315	14	or	or	CCONJ
brj-23798	315	15	even	even	ADV
brj-23798	315	16	wood	wood	NOUN
brj-23798	315	17	vs.	vs.	ADP
brj-23798	315	18	not	not	PART
brj-23798	315	19	-	-	PUNCT
brj-23798	315	20	wood	wood	NOUN
brj-23798	315	21	as	as	SCONJ
brj-23798	315	22	the	the	DET
brj-23798	315	23	root	root	NOUN
brj-23798	315	24	classifier	classifier	NOUN
brj-23798	315	25	)	)	PUNCT
brj-23798	315	26	trained	train	VERB
brj-23798	315	27	on	on	ADP
brj-23798	315	28	a	a	DET
brj-23798	315	29	wide	wide	ADJ
brj-23798	315	30	range	range	NOUN
brj-23798	315	31	of	of	ADP
brj-23798	315	32	woods	wood	NOUN
brj-23798	315	33	from	from	ADP
brj-23798	315	34	around	around	ADP
brj-23798	315	35	the	the	DET
brj-23798	315	36	world	world	NOUN
brj-23798	315	37	might	might	AUX
brj-23798	315	38	provide	provide	VERB
brj-23798	315	39	the	the	DET
brj-23798	315	40	initial	initial	ADJ
brj-23798	315	41	binning	binning	NOUN
brj-23798	315	42	necessary	necessary	ADJ
brj-23798	315	43	to	to	PART
brj-23798	315	44	train	train	VERB
brj-23798	315	45	smaller	small	ADJ
brj-23798	315	46	classifiers	classifier	NOUN
brj-23798	315	47	at	at	ADP
brj-23798	315	48	deeper	deep	ADJ
brj-23798	315	49	nodes	node	NOUN
brj-23798	315	50	in	in	ADP
brj-23798	315	51	the	the	DET
brj-23798	315	52	cascade	cascade	NOUN
brj-23798	315	53	(	(	PUNCT
brj-23798	315	54	even	even	ADV
brj-23798	315	55	if	if	SCONJ
brj-23798	315	56	some	some	PRON
brj-23798	315	57	of	of	ADP
brj-23798	315	58	those	those	DET
brj-23798	315	59	classifications	classification	NOUN
brj-23798	315	60	are	be	AUX
brj-23798	315	61	incorrect	incorrect	ADJ
brj-23798	315	62	,	,	PUNCT
brj-23798	315	63	as	as	SCONJ
brj-23798	315	64	noted	note	VERB
brj-23798	315	65	above	above	ADV
brj-23798	315	66	)	)	PUNCT
brj-23798	315	67	.	.	PUNCT
brj-23798	316	1	such	such	ADJ
brj-23798	316	2	targeted	targeted	ADJ
brj-23798	316	3	and	and	CCONJ
brj-23798	316	4	crisp	crisp	ADJ
brj-23798	316	5	anatomical	anatomical	ADJ
brj-23798	316	6	feature	feature	NOUN
brj-23798	316	7	classifiers	classifier	NOUN
brj-23798	316	8	,	,	PUNCT
brj-23798	316	9	rather	rather	ADV
brj-23798	316	10	than	than	ADP
brj-23798	316	11	taxonomic	taxonomic	ADJ
brj-23798	316	12	classifiers	classifier	NOUN
brj-23798	316	13	,	,	PUNCT
brj-23798	316	14	can	can	AUX
brj-23798	316	15	be	be	AUX
brj-23798	316	16	highly	highly	ADV
brj-23798	316	17	influential	influential	ADJ
brj-23798	316	18	in	in	ADP
brj-23798	316	19	pooling	pool	VERB
brj-23798	316	20	and	and	CCONJ
brj-23798	316	21	chaining	chain	VERB
brj-23798	316	22	trained	train	VERB
brj-23798	316	23	classifiers	classifier	NOUN
brj-23798	316	24	from	from	ADP
brj-23798	316	25	different	different	ADJ
brj-23798	316	26	studies	study	NOUN
brj-23798	316	27	along	along	ADP
brj-23798	316	28	with	with	ADP
brj-23798	316	29	application	application	NOUN
brj-23798	316	30	-	-	PUNCT
brj-23798	316	31	specific	specific	ADJ
brj-23798	316	32	lower	low	ADJ
brj-23798	316	33	tier	tier	NOUN
brj-23798	316	34	(	(	PUNCT
brj-23798	316	35	deep	deep	ADJ
brj-23798	316	36	and	and	CCONJ
brj-23798	316	37	shallow	shallow	ADJ
brj-23798	316	38	)	)	PUNCT
brj-23798	316	39	classifiers	classifier	NOUN
brj-23798	316	40	(	(	PUNCT
brj-23798	316	41	see	see	VERB
brj-23798	316	42	he	he	PRON
brj-23798	316	43	et	et	PROPN
brj-23798	316	44	al	al	PROPN
brj-23798	316	45	.	.	PROPN
brj-23798	316	46	2024	2024	NUM
brj-23798	316	47	for	for	ADP
brj-23798	316	48	a	a	DET
brj-23798	316	49	conceptual	conceptual	ADJ
brj-23798	316	50	commentary	commentary	NOUN
brj-23798	316	51	on	on	ADP
brj-23798	316	52	using	use	VERB
brj-23798	316	53	feature	feature	NOUN
brj-23798	316	54	-	-	PUNCT
brj-23798	316	55	based	base	VERB
brj-23798	316	56	cvwid	cvwid	NOUN
brj-23798	316	57	for	for	ADP
brj-23798	316	58	taxonomic	taxonomic	ADJ
brj-23798	316	59	identification	identification	NOUN
brj-23798	316	60	)	)	PUNCT
brj-23798	316	61	.	.	PUNCT
brj-23798	317	1	conclusions	conclusion	NOUN
brj-23798	317	2	1	1	NUM
brj-23798	317	3	.	.	PUNCT
brj-23798	318	1	when	when	SCONJ
brj-23798	318	2	compared	compare	VERB
brj-23798	318	3	to	to	ADP
brj-23798	318	4	the	the	DET
brj-23798	318	5	aggregate	aggregate	ADJ
brj-23798	318	6	performance	performance	NOUN
brj-23798	318	7	of	of	ADP
brj-23798	318	8	the	the	DET
brj-23798	318	9	domain	domain	NOUN
brj-23798	318	10	-	-	PUNCT
brj-23798	318	11	based	base	VERB
brj-23798	318	12	22dp	22dp	NOUN
brj-23798	318	13	and	and	CCONJ
brj-23798	318	14	17rp	17rp	ADJ
brj-23798	318	15	models	model	NOUN
brj-23798	318	16	,	,	PUNCT
brj-23798	318	17	the	the	DET
brj-23798	318	18	overall	overall	ADJ
brj-23798	318	19	predictive	predictive	ADJ
brj-23798	318	20	accuracy	accuracy	NOUN
brj-23798	318	21	of	of	ADP
brj-23798	318	22	the	the	DET
brj-23798	318	23	39dp	39dp	ADJ
brj-23798	318	24	-	-	PUNCT
brj-23798	318	25	rp	rp	NOUN
brj-23798	318	26	model	model	NOUN
brj-23798	318	27	fell	fall	VERB
brj-23798	318	28	by	by	ADP
brj-23798	318	29	less	less	ADJ
brj-23798	318	30	than	than	ADP
brj-23798	318	31	2.0	2.0	NUM
brj-23798	318	32	%	%	NOUN
brj-23798	318	33	.	.	PUNCT
brj-23798	319	1	breaking	break	VERB
brj-23798	319	2	that	that	DET
brj-23798	319	3	performance	performance	NOUN
brj-23798	319	4	down	down	ADP
brj-23798	319	5	by	by	ADP
brj-23798	319	6	porosity	porosity	NOUN
brj-23798	319	7	domain	domain	NOUN
brj-23798	319	8	,	,	PUNCT
brj-23798	319	9	the	the	DET
brj-23798	319	10	results	result	NOUN
brj-23798	319	11	showed	show	VERB
brj-23798	319	12	a	a	DET
brj-23798	319	13	decrease	decrease	NOUN
brj-23798	319	14	of	of	ADP
brj-23798	319	15	less	less	ADJ
brj-23798	319	16	than	than	ADP
brj-23798	319	17	1.0	1.0	NUM
brj-23798	319	18	%	%	NOUN
brj-23798	319	19	each	each	PRON
brj-23798	319	20	for	for	ADP
brj-23798	319	21	diffuse	diffuse	NOUN
brj-23798	319	22	-	-	PUNCT
brj-23798	319	23	porous	porous	ADJ
brj-23798	319	24	woods	wood	NOUN
brj-23798	319	25	and	and	CCONJ
brj-23798	319	26	ring	ring	NOUN
brj-23798	319	27	-	-	PUNCT
brj-23798	319	28	porous	porous	ADJ
brj-23798	319	29	woods	wood	NOUN
brj-23798	319	30	.	.	PUNCT
brj-23798	320	1	these	these	DET
brj-23798	320	2	data	datum	NOUN
brj-23798	320	3	demonstrate	demonstrate	VERB
brj-23798	320	4	that	that	SCONJ
brj-23798	320	5	an	an	DET
brj-23798	320	6	increase	increase	NOUN
brj-23798	320	7	in	in	ADP
brj-23798	320	8	class	class	NOUN
brj-23798	320	9	number	number	NOUN
brj-23798	320	10	does	do	AUX
brj-23798	320	11	not	not	PART
brj-23798	320	12	necessarily	necessarily	ADV
brj-23798	320	13	result	result	VERB
brj-23798	320	14	in	in	ADP
brj-23798	320	15	a	a	DET
brj-23798	320	16	sizable	sizable	ADJ
brj-23798	320	17	reduction	reduction	NOUN
brj-23798	320	18	in	in	ADP
brj-23798	320	19	predictive	predictive	ADJ
brj-23798	320	20	accuracy	accuracy	NOUN
brj-23798	320	21	;	;	PUNCT
brj-23798	320	22	however	however	ADV
brj-23798	320	23	,	,	PUNCT
brj-23798	320	24	the	the	DET
brj-23798	320	25	consolidated	consolidated	ADJ
brj-23798	320	26	39	39	NUM
brj-23798	320	27	-	-	PUNCT
brj-23798	320	28	class	class	NOUN
brj-23798	320	29	model	model	NOUN
brj-23798	320	30	confused	confuse	VERB
brj-23798	320	31	more	more	ADJ
brj-23798	320	32	classes	class	NOUN
brj-23798	320	33	than	than	ADP
brj-23798	320	34	the	the	DET
brj-23798	320	35	domain	domain	NOUN
brj-23798	320	36	-	-	PUNCT
brj-23798	320	37	based	base	VERB
brj-23798	320	38	models	model	NOUN
brj-23798	320	39	and	and	CCONJ
brj-23798	320	40	committed	commit	VERB
brj-23798	320	41	several	several	ADJ
brj-23798	320	42	type	type	NOUN
brj-23798	320	43	3	3	NUM
brj-23798	320	44	crossdomain	crossdomain	NOUN
brj-23798	320	45	misclassifications	misclassification	NOUN
brj-23798	320	46	for	for	ADP
brj-23798	320	47	porosity	porosity	NOUN
brj-23798	320	48	.	.	PUNCT
brj-23798	321	1	2	2	X
brj-23798	321	2	.	.	X
brj-23798	321	3	when	when	SCONJ
brj-23798	321	4	compared	compare	VERB
brj-23798	321	5	to	to	ADP
brj-23798	321	6	the	the	DET
brj-23798	321	7	aggregate	aggregate	ADJ
brj-23798	321	8	performance	performance	NOUN
brj-23798	321	9	of	of	ADP
brj-23798	321	10	the	the	DET
brj-23798	321	11	domain	domain	NOUN
brj-23798	321	12	-	-	PUNCT
brj-23798	321	13	based	base	VERB
brj-23798	321	14	22dp	22dp	NOUN
brj-23798	321	15	,	,	PUNCT
brj-23798	321	16	17rp	17rp	ADJ
brj-23798	321	17	,	,	PUNCT
brj-23798	321	18	and	and	CCONJ
brj-23798	321	19	3srp	3srp	NUM
brj-23798	321	20	models	model	NOUN
brj-23798	321	21	,	,	PUNCT
brj-23798	321	22	the	the	DET
brj-23798	321	23	overall	overall	ADJ
brj-23798	321	24	predictive	predictive	ADJ
brj-23798	321	25	accuracy	accuracy	NOUN
brj-23798	321	26	of	of	ADP
brj-23798	321	27	the	the	DET
brj-23798	321	28	42dp	42dp	ADJ
brj-23798	321	29	-	-	PUNCT
brj-23798	321	30	rp	rp	NOUN
brj-23798	321	31	model	model	NOUN
brj-23798	321	32	fell	fall	VERB
brj-23798	321	33	by	by	ADP
brj-23798	321	34	8.8	8.8	NUM
brj-23798	321	35	%	%	NOUN
brj-23798	321	36	.	.	PUNCT
brj-23798	322	1	breaking	break	VERB
brj-23798	322	2	that	that	DET
brj-23798	322	3	performance	performance	NOUN
brj-23798	322	4	down	down	ADP
brj-23798	322	5	by	by	ADP
brj-23798	322	6	porosity	porosity	NOUN
brj-23798	322	7	domain	domain	NOUN
brj-23798	322	8	,	,	PUNCT
brj-23798	322	9	the	the	DET
brj-23798	322	10	table	table	NOUN
brj-23798	322	11	shows	show	VERB
brj-23798	322	12	decreases	decrease	NOUN
brj-23798	322	13	of	of	ADP
brj-23798	322	14	10.9	10.9	NUM
brj-23798	322	15	%	%	NOUN
brj-23798	322	16	and	and	CCONJ
brj-23798	322	17	7.5	7.5	NUM
brj-23798	322	18	%	%	NOUN
brj-23798	322	19	,	,	PUNCT
brj-23798	322	20	respectively	respectively	ADV
brj-23798	322	21	,	,	PUNCT
brj-23798	322	22	for	for	ADP
brj-23798	322	23	diffuse	diffuse	NOUN
brj-23798	322	24	-	-	PUNCT
brj-23798	322	25	porous	porous	ADJ
brj-23798	322	26	and	and	CCONJ
brj-23798	322	27	ring	ring	NOUN
brj-23798	322	28	-	-	PUNCT
brj-23798	322	29	porous	porous	ADJ
brj-23798	322	30	woods	wood	NOUN
brj-23798	322	31	while	while	SCONJ
brj-23798	322	32	the	the	DET
brj-23798	322	33	predictive	predictive	ADJ
brj-23798	322	34	accuracy	accuracy	NOUN
brj-23798	322	35	of	of	ADP
brj-23798	322	36	the	the	DET
brj-23798	322	37	semi	semi	ADJ
brj-23798	322	38	-	-	ADJ
brj-23798	322	39	ring	ring	ADJ
brj-23798	322	40	-	-	PUNCT
brj-23798	322	41	porous	porous	ADJ
brj-23798	322	42	woods	wood	NOUN
brj-23798	322	43	remained	remain	VERB
brj-23798	322	44	unchanged	unchanged	ADJ
brj-23798	322	45	at	at	ADP
brj-23798	322	46	100.0	100.0	NUM
brj-23798	322	47	%	%	NOUN
brj-23798	322	48	.	.	PUNCT
brj-23798	323	1	these	these	DET
brj-23798	323	2	data	datum	NOUN
brj-23798	323	3	demonstrate	demonstrate	VERB
brj-23798	323	4	that	that	SCONJ
brj-23798	323	5	an	an	DET
brj-23798	323	6	increase	increase	NOUN
brj-23798	323	7	in	in	ADP
brj-23798	323	8	class	class	NOUN
brj-23798	323	9	number	number	NOUN
brj-23798	323	10	can	can	AUX
brj-23798	323	11	result	result	VERB
brj-23798	323	12	in	in	ADP
brj-23798	323	13	a	a	DET
brj-23798	323	14	sizable	sizable	ADJ
brj-23798	323	15	reduction	reduction	NOUN
brj-23798	323	16	in	in	ADP
brj-23798	323	17	predictive	predictive	ADJ
brj-23798	323	18	accuracy	accuracy	NOUN
brj-23798	323	19	;	;	PUNCT
brj-23798	323	20	moreover	moreover	ADV
brj-23798	323	21	,	,	PUNCT
brj-23798	323	22	the	the	DET
brj-23798	323	23	consolidated	consolidated	ADJ
brj-23798	323	24	42	42	NUM
brj-23798	323	25	-	-	PUNCT
brj-23798	323	26	class	class	NOUN
brj-23798	323	27	model	model	NOUN
brj-23798	323	28	confused	confuse	VERB
brj-23798	323	29	more	more	ADJ
brj-23798	323	30	classes	class	NOUN
brj-23798	323	31	than	than	ADP
brj-23798	323	32	the	the	DET
brj-23798	323	33	domain	domain	NOUN
brj-23798	323	34	-	-	PUNCT
brj-23798	323	35	based	base	VERB
brj-23798	323	36	models	model	NOUN
brj-23798	323	37	and	and	CCONJ
brj-23798	323	38	committed	commit	VERB
brj-23798	323	39	more	more	ADV
brj-23798	323	40	than	than	ADP
brj-23798	323	41	double	double	DET
brj-23798	323	42	the	the	DET
brj-23798	323	43	crossdomain	crossdomain	ADJ
brj-23798	323	44	misclassifications	misclassification	NOUN
brj-23798	323	45	for	for	ADP
brj-23798	323	46	porosity	porosity	NOUN
brj-23798	323	47	than	than	ADP
brj-23798	323	48	that	that	PRON
brj-23798	323	49	of	of	ADP
brj-23798	323	50	the	the	DET
brj-23798	323	51	39	39	NUM
brj-23798	323	52	-	-	PUNCT
brj-23798	323	53	class	class	NOUN
brj-23798	323	54	model	model	NOUN
brj-23798	323	55	.	.	PUNCT
brj-23798	324	1	3	3	X
brj-23798	324	2	.	.	X
brj-23798	324	3	the	the	DET
brj-23798	324	4	overall	overall	ADJ
brj-23798	324	5	accuracy	accuracy	NOUN
brj-23798	324	6	of	of	ADP
brj-23798	324	7	the	the	DET
brj-23798	324	8	cascading	cascade	VERB
brj-23798	324	9	model	model	NOUN
brj-23798	324	10	scheme	scheme	NOUN
brj-23798	324	11	exceeded	exceed	VERB
brj-23798	324	12	that	that	PRON
brj-23798	324	13	of	of	ADP
brj-23798	324	14	both	both	CCONJ
brj-23798	324	15	the	the	DET
brj-23798	324	16	consolidated	consolidated	ADJ
brj-23798	324	17	39dp	39dp	NOUN
brj-23798	324	18	-	-	PUNCT
brj-23798	324	19	rp	rp	NOUN
brj-23798	324	20	and	and	CCONJ
brj-23798	324	21	42dp	42dp	NOUN
brj-23798	324	22	-	-	PUNCT
brj-23798	324	23	rp	rp	NOUN
brj-23798	324	24	-	-	PUNCT
brj-23798	324	25	srp	srp	NOUN
brj-23798	324	26	models	model	NOUN
brj-23798	324	27	and	and	CCONJ
brj-23798	324	28	came	come	VERB
brj-23798	324	29	in	in	ADV
brj-23798	324	30	only	only	ADV
brj-23798	324	31	slightly	slightly	ADV
brj-23798	324	32	lower	low	ADJ
brj-23798	324	33	than	than	ADP
brj-23798	324	34	that	that	PRON
brj-23798	324	35	of	of	ADP
brj-23798	324	36	the	the	DET
brj-23798	324	37	domain	domain	NOUN
brj-23798	324	38	-	-	PUNCT
brj-23798	324	39	based	base	VERB
brj-23798	324	40	model	model	NOUN
brj-23798	324	41	scheme	scheme	NOUN
brj-23798	324	42	(	(	PUNCT
brj-23798	324	43	<	<	X
brj-23798	324	44	1.0	1.0	NUM
brj-23798	324	45	%	%	NOUN
brj-23798	324	46	)	)	PUNCT
brj-23798	324	47	.	.	PUNCT
brj-23798	325	1	the	the	DET
brj-23798	325	2	cascading	cascade	VERB
brj-23798	325	3	model	model	NOUN
brj-23798	325	4	scheme	scheme	NOUN
brj-23798	325	5	also	also	ADV
brj-23798	325	6	reduced	reduce	VERB
brj-23798	325	7	the	the	DET
brj-23798	325	8	number	number	NOUN
brj-23798	325	9	of	of	ADP
brj-23798	325	10	cross	cross	ADJ
brj-23798	325	11	-	-	ADJ
brj-23798	325	12	domain	domain	ADJ
brj-23798	325	13	misidentifications	misidentification	NOUN
brj-23798	325	14	for	for	ADP
brj-23798	325	15	porosity	porosity	NOUN
brj-23798	325	16	domain	domain	NOUN
brj-23798	325	17	to	to	ADP
brj-23798	325	18	one	one	NUM
brj-23798	325	19	.	.	PUNCT
brj-23798	326	1	4	4	NUM
brj-23798	326	2	.	.	X
brj-23798	326	3	as	as	ADV
brj-23798	326	4	long	long	ADV
brj-23798	326	5	as	as	SCONJ
brj-23798	326	6	the	the	DET
brj-23798	326	7	predictive	predictive	ADJ
brj-23798	326	8	accuracy	accuracy	NOUN
brj-23798	326	9	of	of	ADP
brj-23798	326	10	the	the	DET
brj-23798	326	11	3por	3por	NUM
brj-23798	326	12	model	model	NOUN
brj-23798	326	13	(	(	PUNCT
brj-23798	326	14	or	or	CCONJ
brj-23798	326	15	the	the	DET
brj-23798	326	16	any	any	DET
brj-23798	326	17	root	root	NOUN
brj-23798	326	18	model	model	NOUN
brj-23798	326	19	in	in	ADP
brj-23798	326	20	a	a	DET
brj-23798	326	21	cascade	cascade	NOUN
brj-23798	326	22	)	)	PUNCT
brj-23798	326	23	is	be	AUX
brj-23798	326	24	perfect	perfect	ADJ
brj-23798	326	25	–	–	PUNCT
brj-23798	326	26	or	or	CCONJ
brj-23798	326	27	close	close	ADJ
brj-23798	326	28	to	to	PART
brj-23798	326	29	perfect	perfect	ADJ
brj-23798	326	30	–	–	PUNCT
brj-23798	326	31	model	model	NOUN
brj-23798	326	32	cascading	cascading	NOUN
brj-23798	326	33	seems	seem	VERB
brj-23798	326	34	a	a	DET
brj-23798	326	35	viable	viable	ADJ
brj-23798	326	36	way	way	NOUN
brj-23798	326	37	to	to	PART
brj-23798	326	38	mitigate	mitigate	VERB
brj-23798	326	39	the	the	DET
brj-23798	326	40	loss	loss	NOUN
brj-23798	326	41	of	of	ADP
brj-23798	326	42	accuracy	accuracy	NOUN
brj-23798	326	43	incurred	incur	VERB
brj-23798	326	44	by	by	ADP
brj-23798	326	45	the	the	DET
brj-23798	326	46	consolidated	consolidated	ADJ
brj-23798	326	47	models	model	NOUN
brj-23798	326	48	,	,	PUNCT
brj-23798	326	49	especially	especially	ADV
brj-23798	326	50	that	that	PRON
brj-23798	326	51	of	of	ADP
brj-23798	326	52	the	the	DET
brj-23798	326	53	42dp	42dp	ADJ
brj-23798	326	54	-	-	PUNCT
brj-23798	326	55	rp	rp	NOUN
brj-23798	326	56	-	-	PUNCT
brj-23798	326	57	srp	srp	NOUN
brj-23798	326	58	model	model	NOUN
brj-23798	326	59	,	,	PUNCT
brj-23798	326	60	though	though	SCONJ
brj-23798	326	61	the	the	DET
brj-23798	326	62	scalability	scalability	NOUN
brj-23798	326	63	of	of	ADP
brj-23798	326	64	cascading	cascade	VERB
brj-23798	326	65	models	model	NOUN
brj-23798	326	66	is	be	AUX
brj-23798	326	67	as	as	ADV
brj-23798	326	68	yet	yet	ADV
brj-23798	326	69	unknown	unknown	ADJ
brj-23798	326	70	.	.	PUNCT
brj-23798	327	1	acknowledgments	acknowledgment	NOUN
brj-23798	327	2	the	the	DET
brj-23798	327	3	authors	author	NOUN
brj-23798	327	4	wish	wish	VERB
brj-23798	327	5	to	to	PART
brj-23798	327	6	acknowledge	acknowledge	VERB
brj-23798	327	7	the	the	DET
brj-23798	327	8	support	support	NOUN
brj-23798	327	9	of	of	ADP
brj-23798	327	10	u.s	u.s	PROPN
brj-23798	327	11	.	.	PROPN
brj-23798	327	12	department	department	PROPN
brj-23798	327	13	of	of	ADP
brj-23798	327	14	agriculture	agriculture	PROPN
brj-23798	327	15	(	(	PUNCT
brj-23798	327	16	usda	usda	PROPN
brj-23798	327	17	)	)	PUNCT
brj-23798	327	18	,	,	PUNCT
brj-23798	327	19	research	research	NOUN
brj-23798	327	20	,	,	PUNCT
brj-23798	327	21	education	education	NOUN
brj-23798	327	22	,	,	PUNCT
brj-23798	327	23	and	and	CCONJ
brj-23798	327	24	economics	economic	NOUN
brj-23798	327	25	,	,	PUNCT
brj-23798	327	26	agriculture	agriculture	NOUN
brj-23798	327	27	research	research	NOUN
brj-23798	327	28	service	service	NOUN
brj-23798	327	29	,	,	PUNCT
brj-23798	327	30	administrative	administrative	ADJ
brj-23798	327	31	and	and	CCONJ
brj-23798	327	32	financial	financial	ADJ
brj-23798	327	33	management	management	NOUN
brj-23798	327	34	,	,	PUNCT
brj-23798	327	35	financial	financial	ADJ
brj-23798	327	36	management	management	NOUN
brj-23798	327	37	and	and	CCONJ
brj-23798	327	38	accounting	accounting	NOUN
brj-23798	327	39	division	division	NOUN
brj-23798	327	40	,	,	PUNCT
brj-23798	327	41	grants	grant	NOUN
brj-23798	327	42	and	and	CCONJ
brj-23798	327	43	agreements	agreement	NOUN
brj-23798	327	44	management	management	NOUN
brj-23798	327	45	branch	branch	NOUN
brj-23798	327	46	,	,	PUNCT
brj-23798	327	47	under	under	ADP
brj-23798	327	48	agreement	agreement	NOUN
brj-23798	327	49	no	no	NOUN
brj-23798	327	50	.	.	NOUN
brj-23798	328	1	58	58	NUM
brj-23798	328	2	-	-	SYM
brj-23798	328	3	0204	0204	NUM
brj-23798	328	4	-	-	PUNCT
brj-23798	328	5	9164	9164	NUM
brj-23798	328	6	,	,	PUNCT
brj-23798	328	7	specifically	specifically	ADV
brj-23798	328	8	for	for	ADP
brj-23798	328	9	support	support	NOUN
brj-23798	328	10	of	of	ADP
brj-23798	328	11	fo	fo	ADV
brj-23798	328	12	and	and	CCONJ
brj-23798	328	13	rs	rs	ADJ
brj-23798	328	14	.	.	PUNCT
brj-23798	329	1	any	any	DET
brj-23798	329	2	opinions	opinion	NOUN
brj-23798	329	3	,	,	PUNCT
brj-23798	329	4	findings	finding	NOUN
brj-23798	329	5	,	,	PUNCT
brj-23798	329	6	conclusions	conclusion	NOUN
brj-23798	329	7	,	,	PUNCT
brj-23798	329	8	or	or	CCONJ
brj-23798	329	9	recommendations	recommendation	NOUN
brj-23798	329	10	expressed	express	VERB
brj-23798	329	11	in	in	ADP
brj-23798	329	12	this	this	DET
brj-23798	329	13	publication	publication	NOUN
brj-23798	329	14	are	be	AUX
brj-23798	329	15	those	those	PRON
brj-23798	329	16	of	of	ADP
brj-23798	329	17	the	the	DET
brj-23798	329	18	author(s	author(s	NOUN
brj-23798	329	19	)	)	PUNCT
brj-23798	329	20	and	and	CCONJ
brj-23798	329	21	do	do	AUX
brj-23798	329	22	not	not	PART
brj-23798	329	23	peer	peer	NOUN
brj-23798	329	24	-	-	PUNCT
brj-23798	329	25	reviewed	review	VERB
brj-23798	329	26	article	article	NOUN
brj-23798	329	27	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	329	28	owens	owens	PROPN
brj-23798	329	29	et	et	PROPN
brj-23798	329	30	al	al	PROPN
brj-23798	329	31	.	.	PROPN
brj-23798	330	1	(	(	PUNCT
brj-23798	330	2	2024	2024	NUM
brj-23798	330	3	)	)	PUNCT
brj-23798	330	4	.	.	PUNCT
brj-23798	331	1	“	"	PUNCT
brj-23798	331	2	computer	computer	NOUN
brj-23798	331	3	-	-	PUNCT
brj-23798	331	4	vision	vision	NOUN
brj-23798	331	5	wood	wood	NOUN
brj-23798	331	6	id	id	NOUN
brj-23798	331	7	-	-	ADJ
brj-23798	331	8	ing	ing	ADJ
brj-23798	331	9	,	,	PUNCT
brj-23798	331	10	”	"	PUNCT
brj-23798	331	11	bioresources	bioresource	NOUN
brj-23798	331	12	19(4	19(4	NUM
brj-23798	331	13	)	)	PUNCT
brj-23798	331	14	,	,	PUNCT
brj-23798	331	15	9741	9741	NUM
brj-23798	331	16	-	-	SYM
brj-23798	331	17	9772	9772	NUM
brj-23798	331	18	.	.	PUNCT
brj-23798	331	19	9761	9761	NUM
brj-23798	331	20	necessarily	necessarily	ADV
brj-23798	331	21	reflect	reflect	VERB
brj-23798	331	22	the	the	DET
brj-23798	331	23	view	view	NOUN
brj-23798	331	24	of	of	ADP
brj-23798	331	25	the	the	DET
brj-23798	331	26	usda	usda	NOUN
brj-23798	331	27	.	.	PUNCT
brj-23798	332	1	this	this	DET
brj-23798	332	2	material	material	NOUN
brj-23798	332	3	is	be	AUX
brj-23798	332	4	also	also	ADV
brj-23798	332	5	based	base	VERB
brj-23798	332	6	upon	upon	SCONJ
brj-23798	332	7	work	work	NOUN
brj-23798	332	8	supported	support	VERB
brj-23798	332	9	by	by	ADP
brj-23798	332	10	the	the	DET
brj-23798	332	11	national	national	PROPN
brj-23798	332	12	institute	institute	PROPN
brj-23798	332	13	of	of	ADP
brj-23798	332	14	food	food	NOUN
brj-23798	332	15	and	and	CCONJ
brj-23798	332	16	agriculture	agriculture	NOUN
brj-23798	332	17	,	,	PUNCT
brj-23798	332	18	u.s	u.s	PROPN
brj-23798	332	19	.	.	PROPN
brj-23798	332	20	department	department	PROPN
brj-23798	332	21	of	of	ADP
brj-23798	332	22	agriculture	agriculture	PROPN
brj-23798	332	23	,	,	PUNCT
brj-23798	332	24	mcintire	mcintire	PROPN
brj-23798	332	25	stennis	stennis	PROPN
brj-23798	332	26	project	project	PROPN
brj-23798	332	27	under	under	ADP
brj-23798	332	28	accession	accession	NOUN
brj-23798	332	29	number	number	NOUN
brj-23798	332	30	7004014	7004014	NUM
brj-23798	332	31	.	.	PUNCT
brj-23798	333	1	this	this	DET
brj-23798	333	2	publication	publication	NOUN
brj-23798	333	3	is	be	AUX
brj-23798	333	4	a	a	DET
brj-23798	333	5	contribution	contribution	NOUN
brj-23798	333	6	of	of	ADP
brj-23798	333	7	the	the	DET
brj-23798	333	8	forest	forest	NOUN
brj-23798	333	9	and	and	CCONJ
brj-23798	333	10	wildlife	wildlife	NOUN
brj-23798	333	11	research	research	NOUN
brj-23798	333	12	center	center	NOUN
brj-23798	333	13	,	,	PUNCT
brj-23798	333	14	mississippi	mississippi	PROPN
brj-23798	333	15	state	state	PROPN
brj-23798	333	16	university	university	PROPN
brj-23798	333	17	.	.	PUNCT
brj-23798	334	1	the	the	DET
brj-23798	334	2	authors	author	NOUN
brj-23798	334	3	wish	wish	VERB
brj-23798	334	4	to	to	PART
brj-23798	334	5	gratefully	gratefully	ADV
brj-23798	334	6	acknowledge	acknowledge	VERB
brj-23798	334	7	the	the	DET
brj-23798	334	8	specimen	speciman	NOUN
brj-23798	334	9	preparation	preparation	NOUN
brj-23798	334	10	and	and	CCONJ
brj-23798	334	11	imaging	imaging	NOUN
brj-23798	334	12	efforts	effort	NOUN
brj-23798	334	13	of	of	ADP
brj-23798	334	14	adam	adam	PROPN
brj-23798	334	15	wade	wade	PROPN
brj-23798	334	16	,	,	PUNCT
brj-23798	334	17	nicholas	nicholas	PROPN
brj-23798	334	18	bargren	bargren	PROPN
brj-23798	334	19	,	,	PUNCT
brj-23798	334	20	karl	karl	PROPN
brj-23798	334	21	kleinschmidt	kleinschmidt	PROPN
brj-23798	334	22	,	,	PUNCT
brj-23798	334	23	caitlin	caitlin	PROPN
brj-23798	334	24	gilly	gilly	PROPN
brj-23798	334	25	,	,	PUNCT
brj-23798	334	26	richard	richard	PROPN
brj-23798	334	27	soares	soares	PROPN
brj-23798	334	28	,	,	PUNCT
brj-23798	334	29	brunela	brunela	PROPN
brj-23798	334	30	rodrigues	rodrigue	NOUN
brj-23798	334	31	,	,	PUNCT
brj-23798	334	32	and	and	CCONJ
brj-23798	334	33	flavio	flavio	PROPN
brj-23798	334	34	ruffinatto	ruffinatto	PROPN
brj-23798	334	35	.	.	PUNCT
brj-23798	335	1	the	the	DET
brj-23798	335	2	software	software	NOUN
brj-23798	335	3	apps	app	NOUN
brj-23798	335	4	for	for	ADP
brj-23798	335	5	image	image	NOUN
brj-23798	335	6	dataset	dataset	NOUN
brj-23798	335	7	collection	collection	NOUN
brj-23798	335	8	and	and	CCONJ
brj-23798	335	9	trained	train	VERB
brj-23798	335	10	model	model	NOUN
brj-23798	335	11	deployment	deployment	NOUN
brj-23798	335	12	along	along	ADP
brj-23798	335	13	with	with	ADP
brj-23798	335	14	the	the	DET
brj-23798	335	15	weights	weight	NOUN
brj-23798	335	16	of	of	ADP
brj-23798	335	17	the	the	DET
brj-23798	335	18	trained	train	VERB
brj-23798	335	19	model	model	NOUN
brj-23798	335	20	will	will	AUX
brj-23798	335	21	be	be	AUX
brj-23798	335	22	made	make	VERB
brj-23798	335	23	available	available	ADJ
brj-23798	335	24	at	at	ADP
brj-23798	335	25	https://github.com/fplxylotron	https://github.com/fplxylotron	PROPN
brj-23798	335	26	.	.	PUNCT
brj-23798	336	1	a	a	DET
brj-23798	336	2	minimal	minimal	ADJ
brj-23798	336	3	data	datum	NOUN
brj-23798	336	4	set	set	NOUN
brj-23798	336	5	can	can	AUX
brj-23798	336	6	be	be	AUX
brj-23798	336	7	obtained	obtain	VERB
brj-23798	336	8	by	by	ADP
brj-23798	336	9	contacting	contact	VERB
brj-23798	336	10	the	the	DET
brj-23798	336	11	corresponding	corresponding	ADJ
brj-23798	336	12	author	author	NOUN
brj-23798	336	13	,	,	PUNCT
brj-23798	336	14	but	but	CCONJ
brj-23798	336	15	the	the	DET
brj-23798	336	16	full	full	ADJ
brj-23798	336	17	data	datum	NOUN
brj-23798	336	18	set	set	VERB
brj-23798	336	19	used	use	VERB
brj-23798	336	20	in	in	ADP
brj-23798	336	21	the	the	DET
brj-23798	336	22	study	study	NOUN
brj-23798	336	23	is	be	AUX
brj-23798	336	24	protected	protect	VERB
brj-23798	336	25	for	for	ADP
brj-23798	336	26	up	up	ADP
brj-23798	336	27	to	to	PART
brj-23798	336	28	five	five	NUM
brj-23798	336	29	years	year	NOUN
brj-23798	336	30	by	by	ADP
brj-23798	336	31	a	a	DET
brj-23798	336	32	crada	crada	NOUN
brj-23798	336	33	between	between	ADP
brj-23798	336	34	fpl	fpl	PROPN
brj-23798	336	35	,	,	PUNCT
brj-23798	336	36	uw	uw	PROPN
brj-23798	336	37	-	-	PROPN
brj-23798	336	38	madison	madison	PROPN
brj-23798	336	39	and	and	CCONJ
brj-23798	336	40	fsc	fsc	PROPN
brj-23798	336	41	.	.	PUNCT
brj-23798	337	1	all	all	DET
brj-23798	337	2	authors	author	NOUN
brj-23798	337	3	(	(	PUNCT
brj-23798	337	4	prabu	prabu	NOUN
brj-23798	337	5	ravindran	ravindran	NOUN
brj-23798	337	6	,	,	PUNCT
brj-23798	337	7	pr	pr	NOUN
brj-23798	337	8	;	;	PUNCT
brj-23798	337	9	frank	frank	PROPN
brj-23798	337	10	owens	owens	PROPN
brj-23798	337	11	,	,	PUNCT
brj-23798	337	12	fo	fo	ADP
brj-23798	337	13	;	;	PUNCT
brj-23798	337	14	adriana	adriana	PROPN
brj-23798	337	15	costa	costa	PROPN
brj-23798	337	16	,	,	PUNCT
brj-23798	337	17	ac	ac	PROPN
brj-23798	337	18	;	;	PUNCT
brj-23798	337	19	rubin	rubin	PROPN
brj-23798	337	20	shmulsky	shmulsky	PROPN
brj-23798	337	21	,	,	PUNCT
brj-23798	337	22	rs	rs	ADV
brj-23798	337	23	;	;	PUNCT
brj-23798	337	24	alex	alex	PROPN
brj-23798	337	25	wiedenhoeft	wiedenhoeft	PROPN
brj-23798	337	26	,	,	PUNCT
brj-23798	337	27	aw	aw	INTJ
brj-23798	337	28	)	)	PUNCT
brj-23798	337	29	contributed	contribute	VERB
brj-23798	337	30	actionable	actionable	ADJ
brj-23798	337	31	feedback	feedback	NOUN
brj-23798	337	32	that	that	PRON
brj-23798	337	33	improved	improve	VERB
brj-23798	337	34	the	the	DET
brj-23798	337	35	presentation	presentation	NOUN
brj-23798	337	36	of	of	ADP
brj-23798	337	37	the	the	DET
brj-23798	337	38	paper	paper	NOUN
brj-23798	337	39	.	.	PUNCT
brj-23798	338	1	fo	fo	INTJ
brj-23798	338	2	and	and	CCONJ
brj-23798	338	3	rs	rs	AUX
brj-23798	338	4	provided	provide	VERB
brj-23798	338	5	access	access	NOUN
brj-23798	338	6	to	to	ADP
brj-23798	338	7	and	and	CCONJ
brj-23798	338	8	supervised	supervise	VERB
brj-23798	338	9	data	datum	NOUN
brj-23798	338	10	acquisition	acquisition	NOUN
brj-23798	338	11	from	from	ADP
brj-23798	338	12	the	the	DET
brj-23798	338	13	pacw	pacw	NOUN
brj-23798	338	14	test	test	NOUN
brj-23798	338	15	specimens	specimen	NOUN
brj-23798	338	16	.	.	PUNCT
brj-23798	339	1	ac	ac	PROPN
brj-23798	339	2	prepared	prepare	VERB
brj-23798	339	3	a	a	DET
brj-23798	339	4	portion	portion	NOUN
brj-23798	339	5	of	of	ADP
brj-23798	339	6	the	the	DET
brj-23798	339	7	madw	madw	ADJ
brj-23798	339	8	and	and	CCONJ
brj-23798	339	9	sjrw	sjrw	ADJ
brj-23798	339	10	specimens	specimen	NOUN
brj-23798	339	11	.	.	PUNCT
brj-23798	340	1	fo	fo	PROPN
brj-23798	340	2	,	,	PUNCT
brj-23798	340	3	ac	ac	PROPN
brj-23798	340	4	,	,	PUNCT
brj-23798	340	5	and	and	CCONJ
brj-23798	340	6	aw	aw	INTJ
brj-23798	340	7	established	establish	VERB
brj-23798	340	8	the	the	DET
brj-23798	340	9	wood	wood	NOUN
brj-23798	340	10	anatomical	anatomical	ADJ
brj-23798	340	11	scope	scope	NOUN
brj-23798	340	12	of	of	ADP
brj-23798	340	13	the	the	DET
brj-23798	340	14	study	study	NOUN
brj-23798	340	15	.	.	PUNCT
brj-23798	341	1	pr	pr	NOUN
brj-23798	341	2	implemented	implement	VERB
brj-23798	341	3	the	the	DET
brj-23798	341	4	machine	machine	NOUN
brj-23798	341	5	learning	learn	VERB
brj-23798	341	6	pipelines	pipeline	NOUN
brj-23798	341	7	for	for	ADP
brj-23798	341	8	the	the	DET
brj-23798	341	9	study	study	NOUN
brj-23798	341	10	.	.	PUNCT
brj-23798	342	1	pr	pr	NOUN
brj-23798	342	2	and	and	CCONJ
brj-23798	342	3	aw	aw	INTJ
brj-23798	342	4	conducted	conduct	VERB
brj-23798	342	5	data	datum	NOUN
brj-23798	342	6	analysis	analysis	NOUN
brj-23798	342	7	and	and	CCONJ
brj-23798	342	8	synthesis	synthesis	NOUN
brj-23798	342	9	.	.	PUNCT
brj-23798	343	1	pr	pr	NOUN
brj-23798	343	2	,	,	PUNCT
brj-23798	343	3	aw	aw	INTJ
brj-23798	343	4	,	,	PUNCT
brj-23798	343	5	ac	ac	PROPN
brj-23798	344	1	and	and	CCONJ
brj-23798	344	2	fo	fo	INTJ
brj-23798	344	3	wrote	write	VERB
brj-23798	344	4	the	the	DET
brj-23798	344	5	paper	paper	NOUN
brj-23798	344	6	.	.	PUNCT
brj-23798	345	1	the	the	DET
brj-23798	345	2	authors	author	NOUN
brj-23798	345	3	declare	declare	VERB
brj-23798	345	4	that	that	SCONJ
brj-23798	345	5	the	the	DET
brj-23798	345	6	research	research	NOUN
brj-23798	345	7	was	be	AUX
brj-23798	345	8	conducted	conduct	VERB
brj-23798	345	9	in	in	ADP
brj-23798	345	10	the	the	DET
brj-23798	345	11	absence	absence	NOUN
brj-23798	345	12	of	of	ADP
brj-23798	345	13	any	any	DET
brj-23798	345	14	commercial	commercial	ADJ
brj-23798	345	15	or	or	CCONJ
brj-23798	345	16	financial	financial	ADJ
brj-23798	345	17	relationships	relationship	NOUN
brj-23798	345	18	that	that	PRON
brj-23798	345	19	could	could	AUX
brj-23798	345	20	be	be	AUX
brj-23798	345	21	construed	construe	VERB
brj-23798	345	22	as	as	ADP
brj-23798	345	23	a	a	DET
brj-23798	345	24	potential	potential	ADJ
brj-23798	345	25	conflict	conflict	NOUN
brj-23798	345	26	of	of	ADP
brj-23798	345	27	interest	interest	NOUN
brj-23798	345	28	.	.	PUNCT
brj-23798	346	1	references	reference	NOUN
brj-23798	346	2	cited	cite	VERB
brj-23798	346	3	arévalo	arévalo	PROPN
brj-23798	346	4	,	,	PUNCT
brj-23798	346	5	r.	r.	PROPN
brj-23798	346	6	,	,	PUNCT
brj-23798	346	7	pulido	pulido	NOUN
brj-23798	346	8	,	,	PUNCT
brj-23798	346	9	e.	e.	PROPN
brj-23798	346	10	n.	n.	PROPN
brj-23798	346	11	r.	r.	PROPN
brj-23798	346	12	,	,	PUNCT
brj-23798	346	13	solórzano	solórzano	PROPN
brj-23798	346	14	,	,	PUNCT
brj-23798	346	15	j.	j.	PROPN
brj-23798	346	16	f.	f.	PROPN
brj-23798	346	17	g.	g.	PROPN
brj-23798	346	18	,	,	PUNCT
brj-23798	346	19	soares	soares	PROPN
brj-23798	346	20	,	,	PUNCT
brj-23798	346	21	r.	r.	PROPN
brj-23798	346	22	,	,	PUNCT
brj-23798	346	23	ruffinatto	ruffinatto	ADJ
brj-23798	346	24	,	,	PUNCT
brj-23798	346	25	f.	f.	PROPN
brj-23798	346	26	,	,	PUNCT
brj-23798	346	27	ravindran	ravindran	NOUN
brj-23798	346	28	,	,	PUNCT
brj-23798	346	29	p.	p.	NOUN
brj-23798	346	30	,	,	PUNCT
brj-23798	346	31	and	and	CCONJ
brj-23798	346	32	wiedenhoeft	wiedenhoeft	VERB
brj-23798	346	33	,	,	PUNCT
brj-23798	346	34	a.	a.	PROPN
brj-23798	346	35	c.	c.	PROPN
brj-23798	346	36	(	(	PUNCT
brj-23798	346	37	2021	2021	NUM
brj-23798	346	38	)	)	PUNCT
brj-23798	346	39	.	.	PUNCT
brj-23798	347	1	“	"	PUNCT
brj-23798	347	2	image	image	NOUN
brj-23798	347	3	based	base	VERB
brj-23798	347	4	identification	identification	NOUN
brj-23798	347	5	of	of	ADP
brj-23798	347	6	colombian	colombian	ADJ
brj-23798	347	7	timbers	timber	NOUN
brj-23798	347	8	using	use	VERB
brj-23798	347	9	the	the	DET
brj-23798	347	10	xylotron	xylotron	NOUN
brj-23798	347	11	:	:	PUNCT
brj-23798	347	12	a	a	DET
brj-23798	347	13	proof	proof	NOUN
brj-23798	347	14	of	of	ADP
brj-23798	347	15	concept	concept	NOUN
brj-23798	347	16	international	international	PROPN
brj-23798	347	17	partnership	partnership	NOUN
brj-23798	347	18	,	,	PUNCT
brj-23798	347	19	”	"	PUNCT
brj-23798	347	20	colombia	colombia	PROPN
brj-23798	347	21	forestal	forestal	PROPN
brj-23798	347	22	.	.	PUNCT
brj-23798	347	23	24(1	24(1	NOUN
brj-23798	347	24	)	)	PUNCT
brj-23798	347	25	,	,	PUNCT
brj-23798	347	26	5	5	NUM
brj-23798	347	27	-	-	SYM
brj-23798	347	28	16	16	NUM
brj-23798	347	29	.	.	PUNCT
brj-23798	348	1	doi	doi	NOUN
brj-23798	348	2	:	:	PUNCT
brj-23798	348	3	10.14483/2256201x.16700	10.14483/2256201x.16700	PROPN
brj-23798	348	4	arévalo	arévalo	PROPN
brj-23798	348	5	,	,	PUNCT
brj-23798	348	6	r.	r.	PROPN
brj-23798	348	7	,	,	PUNCT
brj-23798	348	8	and	and	CCONJ
brj-23798	348	9	wiedenhoeft	wiedenhoeft	VERB
brj-23798	348	10	,	,	PUNCT
brj-23798	348	11	a.	a.	PROPN
brj-23798	348	12	c.	c.	PROPN
brj-23798	348	13	(	(	PUNCT
brj-23798	348	14	2022	2022	NUM
brj-23798	348	15	)	)	PUNCT
brj-23798	348	16	.	.	PUNCT
brj-23798	349	1	identificación	identificación	PROPN
brj-23798	349	2	de	de	PROPN
brj-23798	349	3	las	las	X
brj-23798	349	4	maderas	maderas	X
brj-23798	349	5	de	de	X
brj-23798	349	6	centroamérica	centroamérica	PROPN
brj-23798	349	7	,	,	PUNCT
brj-23798	349	8	méxico	méxico	PROPN
brj-23798	349	9	y	y	PROPN
brj-23798	349	10	el	el	PROPN
brj-23798	349	11	caribe	caribe	PROPN
brj-23798	349	12	—	—	PUNCT
brj-23798	349	13	identification	identification	NOUN
brj-23798	349	14	of	of	ADP
brj-23798	349	15	central	central	ADJ
brj-23798	349	16	american	american	ADJ
brj-23798	349	17	,	,	PUNCT
brj-23798	349	18	mexican	mexican	ADJ
brj-23798	349	19	,	,	PUNCT
brj-23798	349	20	and	and	CCONJ
brj-23798	349	21	caribbean	caribbean	ADJ
brj-23798	349	22	woods	wood	NOUN
brj-23798	349	23	.	.	PUNCT
brj-23798	350	1	general	general	ADJ
brj-23798	350	2	technical	technical	PROPN
brj-23798	350	3	report	report	PROPN
brj-23798	350	4	fpl	fpl	NOUN
brj-23798	350	5	-	-	PUNCT
brj-23798	350	6	gtr-293	gtr-293	NOUN
brj-23798	350	7	.	.	PUNCT
brj-23798	350	8	madison	madison	PROPN
brj-23798	350	9	,	,	PUNCT
brj-23798	350	10	wi	wi	PROPN
brj-23798	350	11	:	:	PUNCT
brj-23798	350	12	u.s	u.s	PROPN
brj-23798	350	13	.	.	PROPN
brj-23798	350	14	department	department	PROPN
brj-23798	350	15	of	of	ADP
brj-23798	350	16	agriculture	agriculture	PROPN
brj-23798	350	17	,	,	PUNCT
brj-23798	350	18	forest	forest	NOUN
brj-23798	350	19	service	service	NOUN
brj-23798	350	20	,	,	PUNCT
brj-23798	350	21	forest	forest	NOUN
brj-23798	350	22	products	product	NOUN
brj-23798	350	23	laboratory	laboratory	NOUN
brj-23798	350	24	.	.	PUNCT
brj-23798	351	1	376	376	NUM
brj-23798	351	2	p.	p.	NOUN
brj-23798	351	3	doi	doi	NOUN
brj-23798	351	4	:	:	PUNCT
brj-23798	351	5	10.2737	10.2737	NUM
brj-23798	351	6	/	/	SYM
brj-23798	351	7	fpl	fpl	NOUN
brj-23798	351	8	-	-	PUNCT
brj-23798	351	9	gtr-293	gtr-293	NOUN
brj-23798	351	10	bilal	bilal	PROPN
brj-23798	351	11	,	,	PUNCT
brj-23798	351	12	a.	a.	NOUN
brj-23798	351	13	,	,	PUNCT
brj-23798	351	14	jourabloo	jourabloo	ADJ
brj-23798	351	15	,	,	PUNCT
brj-23798	351	16	a.	a.	NOUN
brj-23798	351	17	,	,	PUNCT
brj-23798	351	18	ye	ye	NOUN
brj-23798	351	19	,	,	PUNCT
brj-23798	351	20	m.	m.	NOUN
brj-23798	351	21	,	,	PUNCT
brj-23798	351	22	liu	liu	PROPN
brj-23798	351	23	,	,	PUNCT
brj-23798	351	24	x.	x.	NOUN
brj-23798	351	25	,	,	PUNCT
brj-23798	351	26	and	and	CCONJ
brj-23798	351	27	ren	ren	PROPN
brj-23798	351	28	,	,	PUNCT
brj-23798	351	29	l.	l.	PROPN
brj-23798	351	30	(	(	PUNCT
brj-23798	351	31	2018	2018	NUM
brj-23798	351	32	)	)	PUNCT
brj-23798	351	33	.	.	PUNCT
brj-23798	352	1	“	"	PUNCT
brj-23798	352	2	do	do	AUX
brj-23798	352	3	convolutional	convolutional	ADJ
brj-23798	352	4	neural	neural	ADJ
brj-23798	352	5	networks	network	NOUN
brj-23798	352	6	learn	learn	VERB
brj-23798	352	7	class	class	NOUN
brj-23798	352	8	hierarchy	hierarchy	NOUN
brj-23798	352	9	?	?	PUNCT
brj-23798	352	10	,	,	PUNCT
brj-23798	352	11	”	"	PUNCT
brj-23798	352	12	ieee	ieee	NOUN
brj-23798	352	13	transactions	transaction	NOUN
brj-23798	352	14	on	on	ADP
brj-23798	352	15	visualization	visualization	NOUN
brj-23798	352	16	and	and	CCONJ
brj-23798	352	17	computer	computer	NOUN
brj-23798	352	18	graphics	graphic	NOUN
brj-23798	352	19	24(1	24(1	NOUN
brj-23798	352	20	)	)	PUNCT
brj-23798	352	21	,	,	PUNCT
brj-23798	352	22	152	152	NUM
brj-23798	352	23	-	-	SYM
brj-23798	352	24	162	162	NUM
brj-23798	352	25	.	.	PUNCT
brj-23798	353	1	doi	doi	NOUN
brj-23798	353	2	:	:	PUNCT
brj-23798	353	3	10.1109	10.1109	NUM
brj-23798	353	4	/	/	SYM
brj-23798	353	5	tvcg.2017.2744683	tvcg.2017.2744683	NOUN
brj-23798	353	6	brown	brown	NOUN
brj-23798	353	7	,	,	PUNCT
brj-23798	354	1	h.	h.	PROPN
brj-23798	354	2	p.	p.	PROPN
brj-23798	354	3	,	,	PUNCT
brj-23798	354	4	panshin	panshin	PROPN
brj-23798	354	5	,	,	PUNCT
brj-23798	354	6	a.	a.	PROPN
brj-23798	354	7	j.	j.	PROPN
brj-23798	354	8	,	,	PUNCT
brj-23798	354	9	and	and	CCONJ
brj-23798	354	10	forsaith	forsaith	PROPN
brj-23798	354	11	,	,	PUNCT
brj-23798	354	12	c.	c.	PROPN
brj-23798	354	13	c.	c.	PROPN
brj-23798	354	14	(	(	PUNCT
brj-23798	354	15	1949	1949	NUM
brj-23798	354	16	)	)	PUNCT
brj-23798	354	17	.	.	PUNCT
brj-23798	355	1	textbook	textbook	NOUN
brj-23798	355	2	of	of	ADP
brj-23798	355	3	wood	wood	NOUN
brj-23798	355	4	technology	technology	NOUN
brj-23798	355	5	.	.	PUNCT
brj-23798	356	1	volume	volume	NOUN
brj-23798	356	2	i.	i.	PROPN
brj-23798	356	3	structure	structure	PROPN
brj-23798	356	4	,	,	PUNCT
brj-23798	356	5	identification	identification	NOUN
brj-23798	356	6	,	,	PUNCT
brj-23798	356	7	uses	use	NOUN
brj-23798	356	8	,	,	PUNCT
brj-23798	356	9	and	and	CCONJ
brj-23798	356	10	properties	property	NOUN
brj-23798	356	11	of	of	ADP
brj-23798	356	12	the	the	DET
brj-23798	356	13	commercial	commercial	ADJ
brj-23798	356	14	woods	wood	NOUN
brj-23798	356	15	of	of	ADP
brj-23798	356	16	the	the	DET
brj-23798	356	17	united	united	PROPN
brj-23798	356	18	states	states	PROPN
brj-23798	356	19	,	,	PUNCT
brj-23798	356	20	mc	mc	PROPN
brj-23798	356	21	-	-	PUNCT
brj-23798	356	22	graw	graw	NOUN
brj-23798	356	23	-	-	PUNCT
brj-23798	356	24	hill	hill	NOUN
brj-23798	356	25	,	,	PUNCT
brj-23798	356	26	new	new	PROPN
brj-23798	356	27	york	york	PROPN
brj-23798	356	28	.	.	PUNCT
brj-23798	357	1	devries	devries	PROPN
brj-23798	357	2	,	,	PUNCT
brj-23798	357	3	t.	t.	PROPN
brj-23798	357	4	,	,	PUNCT
brj-23798	357	5	and	and	CCONJ
brj-23798	357	6	taylor	taylor	PROPN
brj-23798	357	7	,	,	PUNCT
brj-23798	357	8	g.	g.	PROPN
brj-23798	357	9	w.	w.	PROPN
brj-23798	357	10	(	(	PUNCT
brj-23798	357	11	2017	2017	NUM
brj-23798	357	12	)	)	PUNCT
brj-23798	357	13	.	.	PUNCT
brj-23798	358	1	“	"	PUNCT
brj-23798	358	2	improved	improve	VERB
brj-23798	358	3	regularization	regularization	NOUN
brj-23798	358	4	of	of	ADP
brj-23798	358	5	convolutional	convolutional	ADJ
brj-23798	358	6	neural	neural	ADJ
brj-23798	358	7	networks	network	NOUN
brj-23798	358	8	with	with	ADP
brj-23798	358	9	cutout	cutout	NOUN
brj-23798	358	10	,	,	PUNCT
brj-23798	358	11	”	"	PUNCT
brj-23798	358	12	(	(	PUNCT
brj-23798	358	13	arxiv:1708.04552	arxiv:1708.04552	X
brj-23798	358	14	[	[	X
brj-23798	358	15	cs.cv	cs.cv	X
brj-23798	358	16	]	]	X
brj-23798	358	17	)	)	PUNCT
brj-23798	358	18	,	,	PUNCT
brj-23798	358	19	accessed	access	VERB
brj-23798	358	20	14	14	NUM
brj-23798	358	21	feb	feb	NOUN
brj-23798	358	22	2024	2024	NUM
brj-23798	358	23	dormontt	dormontt	NOUN
brj-23798	358	24	,	,	PUNCT
brj-23798	358	25	e.	e.	PROPN
brj-23798	358	26	e.	e.	PROPN
brj-23798	358	27	,	,	PUNCT
brj-23798	358	28	boner	boner	NOUN
brj-23798	358	29	,	,	PUNCT
brj-23798	358	30	m.	m.	NOUN
brj-23798	358	31	,	,	PUNCT
brj-23798	358	32	braun	braun	PROPN
brj-23798	358	33	,	,	PUNCT
brj-23798	358	34	b.	b.	PROPN
brj-23798	358	35	,	,	PUNCT
brj-23798	358	36	breulmann	breulmann	PROPN
brj-23798	358	37	,	,	PUNCT
brj-23798	358	38	g.	g.	PROPN
brj-23798	358	39	,	,	PUNCT
brj-23798	358	40	degen	degen	PROPN
brj-23798	358	41	,	,	PUNCT
brj-23798	358	42	b.	b.	PROPN
brj-23798	358	43	,	,	PUNCT
brj-23798	358	44	espinoza	espinoza	PROPN
brj-23798	358	45	,	,	PUNCT
brj-23798	358	46	e.	e.	PROPN
brj-23798	358	47	,	,	PUNCT
brj-23798	358	48	gardner	gardner	PROPN
brj-23798	358	49	,	,	PUNCT
brj-23798	358	50	s.	s.	PROPN
brj-23798	358	51	,	,	PUNCT
brj-23798	358	52	guillery	guillery	NOUN
brj-23798	358	53	,	,	PUNCT
brj-23798	358	54	p.	p.	PROPN
brj-23798	358	55	,	,	PUNCT
brj-23798	358	56	hermanson	hermanson	PROPN
brj-23798	358	57	,	,	PUNCT
brj-23798	358	58	j.	j.	PROPN
brj-23798	358	59	c.	c.	PROPN
brj-23798	358	60	,	,	PUNCT
brj-23798	358	61	and	and	CCONJ
brj-23798	358	62	koch	koch	PROPN
brj-23798	358	63	,	,	PUNCT
brj-23798	358	64	g.	g.	PROPN
brj-23798	358	65	(	(	PUNCT
brj-23798	358	66	2015	2015	NUM
brj-23798	358	67	)	)	PUNCT
brj-23798	358	68	.	.	PUNCT
brj-23798	359	1	“	"	PUNCT
brj-23798	359	2	forensic	forensic	ADJ
brj-23798	359	3	timber	timber	NOUN
brj-23798	359	4	identification	identification	NOUN
brj-23798	359	5	:	:	PUNCT
brj-23798	359	6	it	it	PRON
brj-23798	359	7	's	be	AUX
brj-23798	359	8	time	time	NOUN
brj-23798	359	9	to	to	PART
brj-23798	359	10	integrate	integrate	VERB
brj-23798	359	11	disciplines	discipline	NOUN
brj-23798	359	12	to	to	PART
brj-23798	359	13	combat	combat	VERB
brj-23798	359	14	illegal	illegal	ADJ
brj-23798	359	15	logging	logging	NOUN
brj-23798	359	16	,	,	PUNCT
brj-23798	359	17	”	"	PUNCT
brj-23798	359	18	biological	biological	ADJ
brj-23798	359	19	conservation	conservation	NOUN
brj-23798	359	20	191	191	NUM
brj-23798	359	21	,	,	PUNCT
brj-23798	359	22	790	790	NUM
brj-23798	359	23	-	-	SYM
brj-23798	359	24	798	798	NUM
brj-23798	359	25	.	.	PUNCT
brj-23798	360	1	doi	doi	NOUN
brj-23798	360	2	:	:	PUNCT
brj-23798	360	3	10.1016	10.1016	NUM
brj-23798	360	4	/	/	SYM
brj-23798	360	5	j.biocon.2015.06.038	j.biocon.2015.06.038	PROPN
brj-23798	360	6	esteban	esteban	PROPN
brj-23798	360	7	,	,	PUNCT
brj-23798	360	8	l.	l.	PROPN
brj-23798	360	9	g.	g.	PROPN
brj-23798	360	10	,	,	PUNCT
brj-23798	360	11	fernandez	fernandez	PROPN
brj-23798	360	12	,	,	PUNCT
brj-23798	360	13	f.	f.	PROPN
brj-23798	360	14	g.	g.	PROPN
brj-23798	360	15	,	,	PUNCT
brj-23798	360	16	palacios	palacio	NOUN
brj-23798	360	17	,	,	PUNCT
brj-23798	360	18	p.	p.	PROPN
brj-23798	360	19	d.	d.	PROPN
brj-23798	360	20	,	,	PUNCT
brj-23798	360	21	romero	romero	PROPN
brj-23798	360	22	,	,	PUNCT
brj-23798	360	23	r.	r.	PROPN
brj-23798	360	24	m.	m.	PROPN
brj-23798	360	25	,	,	PUNCT
brj-23798	360	26	and	and	CCONJ
brj-23798	360	27	cano	cano	PROPN
brj-23798	360	28	,	,	PUNCT
brj-23798	360	29	n.	n.	PROPN
brj-23798	360	30	n.	n.	PROPN
brj-23798	360	31	(	(	PUNCT
brj-23798	360	32	2009	2009	NUM
brj-23798	360	33	)	)	PUNCT
brj-23798	360	34	.	.	PUNCT
brj-23798	361	1	“	"	PUNCT
brj-23798	361	2	artificial	artificial	ADJ
brj-23798	361	3	neural	neural	ADJ
brj-23798	361	4	networks	network	NOUN
brj-23798	361	5	in	in	ADP
brj-23798	361	6	wood	wood	NOUN
brj-23798	361	7	identification	identification	NOUN
brj-23798	361	8	:	:	PUNCT
brj-23798	361	9	the	the	DET
brj-23798	361	10	case	case	NOUN
brj-23798	361	11	of	of	ADP
brj-23798	361	12	two	two	NUM
brj-23798	361	13	juniperus	juniperus	PROPN
brj-23798	361	14	species	specie	NOUN
brj-23798	361	15	peer	peer	NOUN
brj-23798	361	16	-	-	PUNCT
brj-23798	361	17	reviewed	review	VERB
brj-23798	361	18	article	article	NOUN
brj-23798	361	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	361	20	owens	owens	PROPN
brj-23798	361	21	et	et	PROPN
brj-23798	361	22	al	al	PROPN
brj-23798	361	23	.	.	PROPN
brj-23798	362	1	(	(	PUNCT
brj-23798	362	2	2024	2024	NUM
brj-23798	362	3	)	)	PUNCT
brj-23798	362	4	.	.	PUNCT
brj-23798	363	1	“	"	PUNCT
brj-23798	363	2	computer	computer	NOUN
brj-23798	363	3	-	-	PUNCT
brj-23798	363	4	vision	vision	NOUN
brj-23798	363	5	wood	wood	NOUN
brj-23798	363	6	id	id	NOUN
brj-23798	363	7	-	-	ADJ
brj-23798	363	8	ing	ing	ADJ
brj-23798	363	9	,	,	PUNCT
brj-23798	363	10	”	"	PUNCT
brj-23798	363	11	bioresources	bioresource	NOUN
brj-23798	363	12	19(4	19(4	NUM
brj-23798	363	13	)	)	PUNCT
brj-23798	363	14	,	,	PUNCT
brj-23798	363	15	9741	9741	NUM
brj-23798	363	16	-	-	SYM
brj-23798	363	17	9772	9772	NUM
brj-23798	363	18	.	.	PUNCT
brj-23798	364	1	9762	9762	NUM
brj-23798	364	2	from	from	ADP
brj-23798	364	3	the	the	DET
brj-23798	364	4	canary	canary	NOUN
brj-23798	364	5	islands	island	NOUN
brj-23798	364	6	,	,	PUNCT
brj-23798	364	7	”	"	PUNCT
brj-23798	364	8	iawa	iawa	PROPN
brj-23798	364	9	journal	journal	NOUN
brj-23798	364	10	30(1	30(1	NUM
brj-23798	364	11	)	)	PUNCT
brj-23798	364	12	,	,	PUNCT
brj-23798	364	13	87	87	NUM
brj-23798	364	14	-	-	SYM
brj-23798	364	15	94	94	NUM
brj-23798	364	16	.	.	PUNCT
brj-23798	365	1	doi:10.1163/2294193290000206	doi:10.1163/2294193290000206	ADJ
brj-23798	365	2	gasson	gasson	PROPN
brj-23798	365	3	,	,	PUNCT
brj-23798	365	4	p.	p.	NOUN
brj-23798	365	5	(	(	PUNCT
brj-23798	365	6	2011	2011	NUM
brj-23798	365	7	)	)	PUNCT
brj-23798	365	8	.	.	PUNCT
brj-23798	366	1	“	"	PUNCT
brj-23798	366	2	how	how	SCONJ
brj-23798	366	3	precise	precise	ADJ
brj-23798	366	4	can	can	AUX
brj-23798	366	5	wood	wood	NOUN
brj-23798	366	6	identification	identification	NOUN
brj-23798	366	7	can	can	AUX
brj-23798	366	8	be	be	AUX
brj-23798	366	9	?	?	PUNCT
brj-23798	367	1	wood	wood	NOUN
brj-23798	367	2	anatomy	anatomy	NOUN
brj-23798	367	3	’s	’s	PART
brj-23798	367	4	role	role	NOUN
brj-23798	367	5	in	in	ADP
brj-23798	367	6	support	support	NOUN
brj-23798	367	7	of	of	ADP
brj-23798	367	8	the	the	DET
brj-23798	367	9	legal	legal	ADJ
brj-23798	367	10	timber	timber	NOUN
brj-23798	367	11	trade	trade	NOUN
brj-23798	367	12	especially	especially	ADV
brj-23798	367	13	cites	cite	VERB
brj-23798	367	14	,	,	PUNCT
brj-23798	367	15	”	"	PUNCT
brj-23798	367	16	iawa	iawa	PROPN
brj-23798	367	17	journal	journal	PROPN
brj-23798	367	18	32(2	32(2	NUM
brj-23798	367	19	)	)	PUNCT
brj-23798	367	20	,	,	PUNCT
brj-23798	367	21	137	137	NUM
brj-23798	367	22	-	-	SYM
brj-23798	367	23	154	154	NUM
brj-23798	367	24	.	.	PUNCT
brj-23798	368	1	doi	doi	NOUN
brj-23798	368	2	:	:	PUNCT
brj-23798	368	3	10.1163/22941932	10.1163/22941932	NUM
brj-23798	368	4	-	-	SYM
brj-23798	368	5	90000049	90000049	NUM
brj-23798	368	6	he	he	PRON
brj-23798	368	7	,	,	PUNCT
brj-23798	368	8	k.	k.	PROPN
brj-23798	368	9	,	,	PUNCT
brj-23798	368	10	zhang	zhang	PROPN
brj-23798	368	11	,	,	PUNCT
brj-23798	368	12	x.	x.	PROPN
brj-23798	368	13	,	,	PUNCT
brj-23798	368	14	ren	ren	PROPN
brj-23798	368	15	,	,	PUNCT
brj-23798	368	16	s.	s.	PROPN
brj-23798	368	17	,	,	PUNCT
brj-23798	368	18	and	and	CCONJ
brj-23798	368	19	sun	sun	NOUN
brj-23798	368	20	,	,	PUNCT
brj-23798	368	21	j.	j.	PROPN
brj-23798	368	22	(	(	PUNCT
brj-23798	368	23	2015	2015	NUM
brj-23798	368	24	)	)	PUNCT
brj-23798	368	25	.	.	PUNCT
brj-23798	369	1	“	"	PUNCT
brj-23798	369	2	delving	delve	VERB
brj-23798	369	3	deep	deep	ADV
brj-23798	369	4	into	into	ADP
brj-23798	369	5	rectifiers	rectifier	NOUN
brj-23798	369	6	:	:	PUNCT
brj-23798	369	7	surpassing	surpass	VERB
brj-23798	369	8	human	human	ADJ
brj-23798	369	9	-	-	PUNCT
brj-23798	369	10	level	level	NOUN
brj-23798	369	11	performance	performance	NOUN
brj-23798	369	12	on	on	ADP
brj-23798	369	13	imagenet	imagenet	ADJ
brj-23798	369	14	classification	classification	NOUN
brj-23798	369	15	,	,	PUNCT
brj-23798	369	16	”	"	PUNCT
brj-23798	369	17	ieee	ieee	PROPN
brj-23798	369	18	international	international	ADJ
brj-23798	369	19	conference	conference	NOUN
brj-23798	369	20	on	on	ADP
brj-23798	369	21	computer	computer	NOUN
brj-23798	369	22	vision	vision	NOUN
brj-23798	369	23	.	.	PUNCT
brj-23798	370	1	doi	doi	NOUN
brj-23798	370	2	:	:	PUNCT
brj-23798	370	3	10.1109	10.1109	NUM
brj-23798	370	4	/	/	SYM
brj-23798	370	5	iccv.2015.123	iccv.2015.123	NOUN
brj-23798	370	6	he	he	PRON
brj-23798	370	7	,	,	PUNCT
brj-23798	370	8	x.	x.	PROPN
brj-23798	370	9	,	,	PUNCT
brj-23798	370	10	pelt	pelt	PROPN
brj-23798	370	11	,	,	PUNCT
brj-23798	370	12	d.	d.	PROPN
brj-23798	370	13	,	,	PUNCT
brj-23798	370	14	gao	gao	PROPN
brj-23798	370	15	,	,	PUNCT
brj-23798	370	16	j.	j.	PROPN
brj-23798	370	17	,	,	PUNCT
brj-23798	370	18	gravendeel	gravendeel	PROPN
brj-23798	370	19	,	,	PUNCT
brj-23798	370	20	b.	b.	PROPN
brj-23798	370	21	,	,	PUNCT
brj-23798	370	22	zhu	zhu	PROPN
brj-23798	370	23	,	,	PUNCT
brj-23798	370	24	p.	p.	PROPN
brj-23798	370	25	,	,	PUNCT
brj-23798	370	26	chen	chen	PROPN
brj-23798	370	27	,	,	PUNCT
brj-23798	370	28	s.	s.	PROPN
brj-23798	370	29	,	,	PUNCT
brj-23798	370	30	qiu	qiu	PROPN
brj-23798	370	31	,	,	PUNCT
brj-23798	370	32	j.	j.	PROPN
brj-23798	370	33	,	,	PUNCT
brj-23798	370	34	and	and	CCONJ
brj-23798	370	35	lens	len	NOUN
brj-23798	370	36	,	,	PUNCT
brj-23798	370	37	f.	f.	PROPN
brj-23798	370	38	(	(	PUNCT
brj-23798	370	39	2024	2024	NUM
brj-23798	370	40	)	)	PUNCT
brj-23798	370	41	.	.	PUNCT
brj-23798	371	1	“	"	PUNCT
brj-23798	371	2	machine	machine	NOUN
brj-23798	371	3	learning	learning	NOUN
brj-23798	371	4	-	-	PUNCT
brj-23798	371	5	based	base	VERB
brj-23798	371	6	wood	wood	NOUN
brj-23798	371	7	anatomy	anatomy	NOUN
brj-23798	371	8	identification	identification	NOUN
brj-23798	371	9	:	:	PUNCT
brj-23798	371	10	towards	towards	ADP
brj-23798	371	11	anatomical	anatomical	ADJ
brj-23798	371	12	feature	feature	NOUN
brj-23798	371	13	recognition	recognition	NOUN
brj-23798	371	14	,	,	PUNCT
brj-23798	371	15	”	"	PUNCT
brj-23798	371	16	iawa	iawa	PROPN
brj-23798	371	17	journal	journal	PROPN
brj-23798	371	18	.	.	PUNCT
brj-23798	372	1	doi	doi	NOUN
brj-23798	372	2	:	:	PUNCT
brj-23798	372	3	10.1163/22941932	10.1163/22941932	NUM
brj-23798	372	4	-	-	PUNCT
brj-23798	372	5	bja10157	bja10157	NOUN
brj-23798	372	6	hermanson	hermanson	NOUN
brj-23798	372	7	,	,	PUNCT
brj-23798	372	8	j.	j.	PROPN
brj-23798	372	9	c.	c.	PROPN
brj-23798	372	10	,	,	PUNCT
brj-23798	372	11	and	and	CCONJ
brj-23798	372	12	wiedenhoeft	wiedenhoeft	VERB
brj-23798	372	13	,	,	PUNCT
brj-23798	372	14	a.	a.	PROPN
brj-23798	372	15	c.	c.	PROPN
brj-23798	372	16	(	(	PUNCT
brj-23798	372	17	2011	2011	NUM
brj-23798	372	18	)	)	PUNCT
brj-23798	372	19	.	.	PUNCT
brj-23798	373	1	“	"	PUNCT
brj-23798	373	2	a	a	DET
brj-23798	373	3	brief	brief	ADJ
brj-23798	373	4	review	review	NOUN
brj-23798	373	5	of	of	ADP
brj-23798	373	6	machine	machine	NOUN
brj-23798	373	7	vision	vision	NOUN
brj-23798	373	8	in	in	ADP
brj-23798	373	9	the	the	DET
brj-23798	373	10	context	context	NOUN
brj-23798	373	11	of	of	ADP
brj-23798	373	12	automated	automate	VERB
brj-23798	373	13	wood	wood	NOUN
brj-23798	373	14	identification	identification	NOUN
brj-23798	373	15	systems	system	NOUN
brj-23798	373	16	,	,	PUNCT
brj-23798	373	17	”	"	PUNCT
brj-23798	373	18	iawa	iawa	PROPN
brj-23798	373	19	journal	journal	PROPN
brj-23798	373	20	32(2	32(2	NUM
brj-23798	373	21	)	)	PUNCT
brj-23798	373	22	,	,	PUNCT
brj-23798	373	23	233250	233250	NUM
brj-23798	373	24	.	.	PUNCT
brj-23798	374	1	doi	doi	NOUN
brj-23798	374	2	:	:	PUNCT
brj-23798	374	3	10.1163/22941932	10.1163/22941932	NUM
brj-23798	374	4	-	-	SYM
brj-23798	374	5	90000054	90000054	NUM
brj-23798	374	6	hoadley	hoadley	NOUN
brj-23798	374	7	,	,	PUNCT
brj-23798	374	8	r.	r.	PROPN
brj-23798	374	9	b.	b.	PROPN
brj-23798	374	10	(	(	PUNCT
brj-23798	374	11	1990	1990	NUM
brj-23798	374	12	)	)	PUNCT
brj-23798	374	13	.	.	PUNCT
brj-23798	375	1	identifying	identify	VERB
brj-23798	375	2	woodaccurate	woodaccurate	VERB
brj-23798	375	3	results	result	NOUN
brj-23798	375	4	with	with	ADP
brj-23798	375	5	simple	simple	ADJ
brj-23798	375	6	tools	tool	NOUN
brj-23798	375	7	,	,	PUNCT
brj-23798	375	8	taunton	taunton	PROPN
brj-23798	375	9	press	press	PROPN
brj-23798	375	10	,	,	PUNCT
brj-23798	375	11	newtown	newtown	PROPN
brj-23798	375	12	,	,	PUNCT
brj-23798	375	13	ct	ct	PROPN
brj-23798	375	14	,	,	PUNCT
brj-23798	375	15	usa	usa	PROPN
brj-23798	375	16	.	.	PROPN
brj-23798	375	17	howard	howard	PROPN
brj-23798	375	18	,	,	PUNCT
brj-23798	375	19	j.	j.	PROPN
brj-23798	375	20	,	,	PUNCT
brj-23798	375	21	and	and	CCONJ
brj-23798	375	22	gugger	gugger	NOUN
brj-23798	375	23	,	,	PUNCT
brj-23798	375	24	s.	s.	PROPN
brj-23798	375	25	(	(	PUNCT
brj-23798	375	26	2020	2020	NUM
brj-23798	375	27	)	)	PUNCT
brj-23798	375	28	.	.	PUNCT
brj-23798	376	1	“	"	PUNCT
brj-23798	376	2	fastai	fastai	NOUN
brj-23798	376	3	:	:	PUNCT
brj-23798	376	4	a	a	DET
brj-23798	376	5	layered	layered	ADJ
brj-23798	376	6	api	api	NOUN
brj-23798	376	7	for	for	ADP
brj-23798	376	8	deep	deep	ADJ
brj-23798	376	9	learning	learning	NOUN
brj-23798	376	10	,	,	PUNCT
brj-23798	376	11	”	"	PUNCT
brj-23798	376	12	information	information	NOUN
brj-23798	376	13	11	11	NUM
brj-23798	376	14	,	,	PUNCT
brj-23798	376	15	article	article	NOUN
brj-23798	376	16	108	108	NUM
brj-23798	376	17	.	.	PUNCT
brj-23798	377	1	doi	doi	NOUN
brj-23798	377	2	:	:	PUNCT
brj-23798	377	3	10.3390	10.3390	NUM
brj-23798	377	4	/	/	SYM
brj-23798	377	5	info11020108	info11020108	PROPN
brj-23798	377	6	hwang	hwang	PROPN
brj-23798	377	7	,	,	PUNCT
brj-23798	377	8	s.	s.	PROPN
brj-23798	377	9	w.	w.	PROPN
brj-23798	377	10	,	,	PUNCT
brj-23798	377	11	and	and	CCONJ
brj-23798	377	12	sugiyama	sugiyama	NOUN
brj-23798	377	13	,	,	PUNCT
brj-23798	377	14	j.	j.	PROPN
brj-23798	377	15	(	(	PUNCT
brj-23798	377	16	2021	2021	NUM
brj-23798	377	17	)	)	PUNCT
brj-23798	377	18	.	.	PUNCT
brj-23798	378	1	“	"	PUNCT
brj-23798	378	2	computer	computer	NOUN
brj-23798	378	3	vision	vision	NOUN
brj-23798	378	4	-	-	PUNCT
brj-23798	378	5	based	base	VERB
brj-23798	378	6	wood	wood	NOUN
brj-23798	378	7	identification	identification	NOUN
brj-23798	378	8	and	and	CCONJ
brj-23798	378	9	its	its	PRON
brj-23798	378	10	expansion	expansion	NOUN
brj-23798	378	11	and	and	CCONJ
brj-23798	378	12	contribution	contribution	NOUN
brj-23798	378	13	potentials	potential	VERB
brj-23798	378	14	in	in	ADP
brj-23798	378	15	wood	wood	NOUN
brj-23798	378	16	science	science	NOUN
brj-23798	378	17	:	:	PUNCT
brj-23798	378	18	a	a	DET
brj-23798	378	19	review	review	NOUN
brj-23798	378	20	,	,	PUNCT
brj-23798	378	21	”	"	PUNCT
brj-23798	378	22	plant	plant	NOUN
brj-23798	378	23	methods	method	NOUN
brj-23798	378	24	17	17	NUM
brj-23798	378	25	,	,	PUNCT
brj-23798	378	26	47	47	NUM
brj-23798	378	27	.	.	PUNCT
brj-23798	379	1	doi	doi	NOUN
brj-23798	379	2	:	:	PUNCT
brj-23798	379	3	10.1186	10.1186	NUM
brj-23798	379	4	/	/	SYM
brj-23798	379	5	s13007	s13007	NOUN
brj-23798	379	6	-	-	PUNCT
brj-23798	379	7	021	021	NUM
brj-23798	379	8	-	-	PUNCT
brj-23798	379	9	00746	00746	NUM
brj-23798	379	10	-	-	SYM
brj-23798	379	11	1	1	NUM
brj-23798	379	12	johnson	johnson	PROPN
brj-23798	379	13	,	,	PUNCT
brj-23798	379	14	a.	a.	NOUN
brj-23798	379	15	,	,	PUNCT
brj-23798	379	16	and	and	CCONJ
brj-23798	379	17	laestadius	laestadius	PROPN
brj-23798	379	18	,	,	PUNCT
brj-23798	379	19	l.	l.	PROPN
brj-23798	379	20	(	(	PUNCT
brj-23798	379	21	2011	2011	NUM
brj-23798	379	22	)	)	PUNCT
brj-23798	379	23	.	.	PUNCT
brj-23798	380	1	“	"	PUNCT
brj-23798	380	2	new	new	ADJ
brj-23798	380	3	laws	law	NOUN
brj-23798	380	4	,	,	PUNCT
brj-23798	380	5	new	new	ADJ
brj-23798	380	6	needs	need	NOUN
brj-23798	380	7	:	:	PUNCT
brj-23798	380	8	the	the	DET
brj-23798	380	9	role	role	NOUN
brj-23798	380	10	of	of	ADP
brj-23798	380	11	wood	wood	NOUN
brj-23798	380	12	science	science	NOUN
brj-23798	380	13	in	in	ADP
brj-23798	380	14	global	global	ADJ
brj-23798	380	15	policy	policy	NOUN
brj-23798	380	16	efforts	effort	NOUN
brj-23798	380	17	to	to	PART
brj-23798	380	18	reduce	reduce	VERB
brj-23798	380	19	illegal	illegal	ADJ
brj-23798	380	20	logging	logging	NOUN
brj-23798	380	21	and	and	CCONJ
brj-23798	380	22	associated	associated	ADJ
brj-23798	380	23	trade	trade	NOUN
brj-23798	380	24	,	,	PUNCT
brj-23798	380	25	”	"	PUNCT
brj-23798	380	26	iawa	iawa	PROPN
brj-23798	380	27	journal	journal	PROPN
brj-23798	380	28	32(2	32(2	NUM
brj-23798	380	29	)	)	PUNCT
brj-23798	380	30	,	,	PUNCT
brj-23798	380	31	125	125	NUM
brj-23798	380	32	-	-	SYM
brj-23798	380	33	136	136	NUM
brj-23798	380	34	.	.	PUNCT
brj-23798	381	1	doi	doi	NOUN
brj-23798	381	2	:	:	PUNCT
brj-23798	381	3	10.1163/22941932	10.1163/22941932	NUM
brj-23798	381	4	-	-	SYM
brj-23798	381	5	90000048	90000048	NUM
brj-23798	381	6	khalid	khalid	PROPN
brj-23798	381	7	,	,	PUNCT
brj-23798	381	8	m.	m.	PROPN
brj-23798	381	9	,	,	PUNCT
brj-23798	381	10	lee	lee	PROPN
brj-23798	381	11	,	,	PUNCT
brj-23798	381	12	e.	e.	PROPN
brj-23798	381	13	l.	l.	PROPN
brj-23798	381	14	y.	y.	PROPN
brj-23798	381	15	,	,	PUNCT
brj-23798	381	16	yusof	yusof	PROPN
brj-23798	381	17	,	,	PUNCT
brj-23798	381	18	r.	r.	PROPN
brj-23798	381	19	,	,	PUNCT
brj-23798	381	20	and	and	CCONJ
brj-23798	381	21	nadaraj	nadaraj	PROPN
brj-23798	381	22	,	,	PUNCT
brj-23798	381	23	m.	m.	NOUN
brj-23798	381	24	(	(	PUNCT
brj-23798	381	25	2008	2008	NUM
brj-23798	381	26	)	)	PUNCT
brj-23798	381	27	.	.	PUNCT
brj-23798	382	1	“	"	PUNCT
brj-23798	382	2	design	design	NOUN
brj-23798	382	3	of	of	ADP
brj-23798	382	4	an	an	DET
brj-23798	382	5	intelligent	intelligent	ADJ
brj-23798	382	6	wood	wood	NOUN
brj-23798	382	7	species	species	NOUN
brj-23798	382	8	recognition	recognition	NOUN
brj-23798	382	9	system	system	NOUN
brj-23798	382	10	,	,	PUNCT
brj-23798	382	11	”	"	PUNCT
brj-23798	382	12	international	international	ADJ
brj-23798	382	13	journal	journal	NOUN
brj-23798	382	14	of	of	ADP
brj-23798	382	15	simulation	simulation	NOUN
brj-23798	382	16	:	:	PUNCT
brj-23798	382	17	systems	system	NOUN
brj-23798	382	18	,	,	PUNCT
brj-23798	382	19	science	science	NOUN
brj-23798	382	20	&	&	CCONJ
brj-23798	382	21	technology	technology	PROPN
brj-23798	382	22	9(3	9(3	NUM
brj-23798	382	23	)	)	PUNCT
brj-23798	382	24	.	.	PUNCT
brj-23798	383	1	kingma	kingma	PROPN
brj-23798	383	2	,	,	PUNCT
brj-23798	383	3	d.	d.	PROPN
brj-23798	383	4	p.	p.	PROPN
brj-23798	383	5	,	,	PUNCT
brj-23798	383	6	and	and	CCONJ
brj-23798	383	7	ba	ba	PROPN
brj-23798	383	8	,	,	PUNCT
brj-23798	383	9	j.	j.	PROPN
brj-23798	383	10	(	(	PUNCT
brj-23798	383	11	2015	2015	NUM
brj-23798	383	12	)	)	PUNCT
brj-23798	383	13	.	.	PUNCT
brj-23798	384	1	“	"	PUNCT
brj-23798	384	2	adam	adam	PROPN
brj-23798	384	3	:	:	PUNCT
brj-23798	384	4	a	a	DET
brj-23798	384	5	method	method	NOUN
brj-23798	384	6	for	for	ADP
brj-23798	384	7	stochastic	stochastic	ADJ
brj-23798	384	8	optimization	optimization	NOUN
brj-23798	384	9	,	,	PUNCT
brj-23798	384	10	”	"	PUNCT
brj-23798	384	11	(	(	PUNCT
brj-23798	384	12	arxiv:1412.6980	arxiv:1412.6980	X
brj-23798	384	13	[	[	X
brj-23798	384	14	cs.lg	cs.lg	PROPN
brj-23798	384	15	]	]	PUNCT
brj-23798	384	16	)	)	PUNCT
brj-23798	384	17	,	,	PUNCT
brj-23798	384	18	accessed	access	VERB
brj-23798	384	19	14	14	NUM
brj-23798	384	20	feb	feb	NOUN
brj-23798	384	21	2024	2024	NUM
brj-23798	384	22	koch	koch	PROPN
brj-23798	384	23	,	,	PUNCT
brj-23798	384	24	g.	g.	PROPN
brj-23798	384	25	,	,	PUNCT
brj-23798	384	26	haag	haag	PROPN
brj-23798	384	27	,	,	PUNCT
brj-23798	384	28	v.	v.	ADV
brj-23798	384	29	,	,	PUNCT
brj-23798	384	30	heinz	heinz	PROPN
brj-23798	384	31	,	,	PUNCT
brj-23798	384	32	i.	i.	PROPN
brj-23798	384	33	,	,	PUNCT
brj-23798	384	34	richter	richter	PROPN
brj-23798	384	35	,	,	PUNCT
brj-23798	384	36	h.	h.	PROPN
brj-23798	384	37	,	,	PUNCT
brj-23798	384	38	and	and	CCONJ
brj-23798	384	39	schmitt	schmitt	NOUN
brj-23798	384	40	,	,	PUNCT
brj-23798	384	41	u.	u.	PROPN
brj-23798	384	42	(	(	PUNCT
brj-23798	384	43	2015	2015	NUM
brj-23798	384	44	)	)	PUNCT
brj-23798	384	45	.	.	PUNCT
brj-23798	385	1	“	"	PUNCT
brj-23798	385	2	control	control	NOUN
brj-23798	385	3	of	of	ADP
brj-23798	385	4	international	international	ADJ
brj-23798	385	5	traded	trade	VERB
brj-23798	385	6	timber	timber	NOUN
brj-23798	385	7	—	—	PUNCT
brj-23798	385	8	the	the	DET
brj-23798	385	9	role	role	NOUN
brj-23798	385	10	of	of	ADP
brj-23798	385	11	macroscopic	macroscopic	ADJ
brj-23798	385	12	and	and	CCONJ
brj-23798	385	13	microscopic	microscopic	ADJ
brj-23798	385	14	wood	wood	NOUN
brj-23798	385	15	identification	identification	NOUN
brj-23798	385	16	against	against	ADP
brj-23798	385	17	illegal	illegal	ADJ
brj-23798	385	18	logging	logging	NOUN
brj-23798	385	19	,	,	PUNCT
brj-23798	385	20	”	"	PUNCT
brj-23798	385	21	journal	journal	NOUN
brj-23798	385	22	of	of	ADP
brj-23798	385	23	forensic	forensic	ADJ
brj-23798	385	24	research	research	NOUN
brj-23798	385	25	6	6	NUM
brj-23798	385	26	,	,	PUNCT
brj-23798	385	27	article	article	NOUN
brj-23798	385	28	317	317	NUM
brj-23798	385	29	.	.	PUNCT
brj-23798	386	1	doi	doi	NOUN
brj-23798	386	2	:	:	PUNCT
brj-23798	386	3	10.4172/2157	10.4172/2157	NUM
brj-23798	386	4	-	-	SYM
brj-23798	386	5	7145.1000317	7145.1000317	NUM
brj-23798	386	6	lecun	lecun	ADJ
brj-23798	386	7	,	,	PUNCT
brj-23798	386	8	y.	y.	PROPN
brj-23798	386	9	,	,	PUNCT
brj-23798	386	10	boser	boser	NOUN
brj-23798	386	11	,	,	PUNCT
brj-23798	386	12	b.	b.	PROPN
brj-23798	386	13	,	,	PUNCT
brj-23798	386	14	denker	denker	PROPN
brj-23798	386	15	,	,	PUNCT
brj-23798	386	16	j.	j.	PROPN
brj-23798	386	17	s.	s.	PROPN
brj-23798	386	18	,	,	PUNCT
brj-23798	386	19	henderson	henderson	PROPN
brj-23798	386	20	,	,	PUNCT
brj-23798	386	21	d.	d.	PROPN
brj-23798	386	22	,	,	PUNCT
brj-23798	386	23	howard	howard	PROPN
brj-23798	386	24	,	,	PUNCT
brj-23798	386	25	r.	r.	PROPN
brj-23798	386	26	e.	e.	PROPN
brj-23798	386	27	,	,	PUNCT
brj-23798	386	28	hubbard	hubbard	PROPN
brj-23798	386	29	,	,	PUNCT
brj-23798	386	30	w.	w.	PROPN
brj-23798	386	31	,	,	PUNCT
brj-23798	386	32	and	and	CCONJ
brj-23798	386	33	jackel	jackel	PROPN
brj-23798	386	34	,	,	PUNCT
brj-23798	386	35	l.	l.	PROPN
brj-23798	386	36	d.	d.	PROPN
brj-23798	386	37	(	(	PUNCT
brj-23798	386	38	1989	1989	NUM
brj-23798	386	39	)	)	PUNCT
brj-23798	386	40	.	.	PUNCT
brj-23798	387	1	“	"	PUNCT
brj-23798	387	2	backpropagation	backpropagation	NOUN
brj-23798	387	3	applied	apply	VERB
brj-23798	387	4	to	to	ADP
brj-23798	387	5	handwritten	handwritten	ADJ
brj-23798	387	6	zip	zip	NOUN
brj-23798	387	7	code	code	NOUN
brj-23798	387	8	recognition	recognition	NOUN
brj-23798	387	9	,	,	PUNCT
brj-23798	387	10	”	"	PUNCT
brj-23798	387	11	neural	neural	ADJ
brj-23798	387	12	computation	computation	NOUN
brj-23798	387	13	1(4	1(4	NUM
brj-23798	387	14	)	)	PUNCT
brj-23798	387	15	,	,	PUNCT
brj-23798	387	16	541	541	NUM
brj-23798	387	17	-	-	SYM
brj-23798	387	18	551	551	NUM
brj-23798	387	19	.	.	PUNCT
brj-23798	388	1	doi	doi	NOUN
brj-23798	388	2	:	:	PUNCT
brj-23798	388	3	10.1162	10.1162	NUM
brj-23798	388	4	/	/	SYM
brj-23798	388	5	neco.1989.1.4.541	neco.1989.1.4.541	NOUN
brj-23798	388	6	liu	liu	PROPN
brj-23798	388	7	,	,	PUNCT
brj-23798	388	8	s.	s.	PROPN
brj-23798	388	9	,	,	PUNCT
brj-23798	388	10	zheng	zheng	PROPN
brj-23798	388	11	,	,	PUNCT
brj-23798	388	12	c.	c.	PROPN
brj-23798	388	13	,	,	PUNCT
brj-23798	388	14	wang	wang	PROPN
brj-23798	388	15	,	,	PUNCT
brj-23798	388	16	j.	j.	PROPN
brj-23798	388	17	,	,	PUNCT
brj-23798	388	18	lu	lu	PROPN
brj-23798	388	19	,	,	PUNCT
brj-23798	388	20	y.	y.	PROPN
brj-23798	388	21	,	,	PUNCT
brj-23798	388	22	yao	yao	PROPN
brj-23798	388	23	,	,	PUNCT
brj-23798	388	24	j.	j.	PROPN
brj-23798	388	25	,	,	PUNCT
brj-23798	388	26	zou	zou	PROPN
brj-23798	388	27	,	,	PUNCT
brj-23798	388	28	z.	z.	PROPN
brj-23798	388	29	,	,	PUNCT
brj-23798	388	30	yin	yin	PROPN
brj-23798	388	31	,	,	PUNCT
brj-23798	388	32	y.	y.	PROPN
brj-23798	388	33	,	,	PUNCT
brj-23798	388	34	and	and	CCONJ
brj-23798	388	35	he	he	PRON
brj-23798	388	36	,	,	PUNCT
brj-23798	388	37	t.	t.	PROPN
brj-23798	388	38	(	(	PUNCT
brj-23798	388	39	2024	2024	NUM
brj-23798	388	40	)	)	PUNCT
brj-23798	388	41	.	.	PUNCT
brj-23798	389	1	“	"	PUNCT
brj-23798	389	2	how	how	SCONJ
brj-23798	389	3	to	to	PART
brj-23798	389	4	discriminate	discriminate	VERB
brj-23798	389	5	wood	wood	NOUN
brj-23798	389	6	of	of	ADP
brj-23798	389	7	cites	cite	NOUN
brj-23798	389	8	-	-	PUNCT
brj-23798	389	9	listed	list	VERB
brj-23798	389	10	tree	tree	NOUN
brj-23798	389	11	species	specie	NOUN
brj-23798	389	12	from	from	ADP
brj-23798	389	13	their	their	PRON
brj-23798	389	14	look	look	NOUN
brj-23798	389	15	-	-	PUNCT
brj-23798	389	16	alikes	alike	NOUN
brj-23798	389	17	:	:	PUNCT
brj-23798	389	18	using	use	VERB
brj-23798	389	19	an	an	DET
brj-23798	389	20	attention	attention	NOUN
brj-23798	389	21	mechanism	mechanism	NOUN
brj-23798	389	22	with	with	ADP
brj-23798	389	23	the	the	DET
brj-23798	389	24	resnet	resnet	NOUN
brj-23798	389	25	model	model	NOUN
brj-23798	389	26	on	on	ADP
brj-23798	389	27	an	an	DET
brj-23798	389	28	enhanced	enhanced	ADJ
brj-23798	389	29	macroscopic	macroscopic	ADJ
brj-23798	389	30	image	image	NOUN
brj-23798	389	31	dataset	dataset	NOUN
brj-23798	389	32	,	,	PUNCT
brj-23798	389	33	”	"	PUNCT
brj-23798	389	34	frontiers	frontier	NOUN
brj-23798	389	35	in	in	ADP
brj-23798	389	36	plant	plant	NOUN
brj-23798	389	37	science	science	NOUN
brj-23798	389	38	15	15	NUM
brj-23798	389	39	,	,	PUNCT
brj-23798	389	40	article	article	NOUN
brj-23798	389	41	1368885	1368885	NUM
brj-23798	389	42	.	.	PUNCT
brj-23798	390	1	doi	doi	NOUN
brj-23798	390	2	:	:	PUNCT
brj-23798	390	3	10.3389	10.3389	NUM
brj-23798	390	4	/	/	SYM
brj-23798	390	5	fpls.2024.1368885	fpls.2024.1368885	NOUN
brj-23798	390	6	lodewick	lodewick	ADJ
brj-23798	390	7	,	,	PUNCT
brj-23798	390	8	j.	j.	PROPN
brj-23798	390	9	e.	e.	PROPN
brj-23798	390	10	(	(	PUNCT
brj-23798	390	11	1928	1928	NUM
brj-23798	390	12	)	)	PUNCT
brj-23798	390	13	.	.	PUNCT
brj-23798	391	1	“	"	PUNCT
brj-23798	391	2	seasonal	seasonal	ADJ
brj-23798	391	3	activity	activity	NOUN
brj-23798	391	4	of	of	ADP
brj-23798	391	5	the	the	DET
brj-23798	391	6	cambium	cambium	NOUN
brj-23798	391	7	in	in	ADP
brj-23798	391	8	some	some	DET
brj-23798	391	9	northeastern	northeastern	ADJ
brj-23798	391	10	trees	tree	NOUN
brj-23798	391	11	,	,	PUNCT
brj-23798	391	12	”	"	PUNCT
brj-23798	391	13	bulletin	bulletin	NOUN
brj-23798	391	14	of	of	ADP
brj-23798	391	15	the	the	DET
brj-23798	391	16	new	new	PROPN
brj-23798	391	17	york	york	PROPN
brj-23798	391	18	state	state	PROPN
brj-23798	391	19	college	college	PROPN
brj-23798	391	20	of	of	ADP
brj-23798	391	21	forestry	forestry	NOUN
brj-23798	391	22	(	(	PUNCT
brj-23798	391	23	no	no	INTJ
brj-23798	391	24	.	.	NOUN
brj-23798	391	25	23	23	NUM
brj-23798	391	26	-	-	SYM
brj-23798	391	27	24	24	NUM
brj-23798	391	28	)	)	PUNCT
brj-23798	391	29	.	.	PUNCT
brj-23798	392	1	lowe	lowe	PROPN
brj-23798	392	2	,	,	PUNCT
brj-23798	392	3	a.	a.	PROPN
brj-23798	392	4	j.	j.	PROPN
brj-23798	392	5	,	,	PUNCT
brj-23798	392	6	dormontt	dormontt	PROPN
brj-23798	392	7	,	,	PUNCT
brj-23798	392	8	e.	e.	PROPN
brj-23798	392	9	,	,	PUNCT
brj-23798	392	10	bowie	bowie	PROPN
brj-23798	392	11	,	,	PUNCT
brj-23798	392	12	m.	m.	NOUN
brj-23798	392	13	,	,	PUNCT
brj-23798	392	14	degen	degen	PROPN
brj-23798	392	15	,	,	PUNCT
brj-23798	392	16	b.	b.	PROPN
brj-23798	392	17	,	,	PUNCT
brj-23798	392	18	gardner	gardner	PROPN
brj-23798	392	19	,	,	PUNCT
brj-23798	392	20	s.	s.	PROPN
brj-23798	392	21	,	,	PUNCT
brj-23798	392	22	thomas	thomas	PROPN
brj-23798	392	23	,	,	PUNCT
brj-23798	392	24	d.	d.	PROPN
brj-23798	392	25	,	,	PUNCT
brj-23798	392	26	clarke	clarke	PROPN
brj-23798	392	27	,	,	PUNCT
brj-23798	392	28	c.	c.	PROPN
brj-23798	392	29	,	,	PUNCT
brj-23798	392	30	rimbawanto	rimbawanto	PROPN
brj-23798	392	31	,	,	PUNCT
brj-23798	392	32	a.	a.	NOUN
brj-23798	392	33	,	,	PUNCT
brj-23798	392	34	wiedenhoeft	wiedenhoeft	VERB
brj-23798	392	35	,	,	PUNCT
brj-23798	392	36	a.	a.	PROPN
brj-23798	392	37	c.	c.	PROPN
brj-23798	392	38	,	,	PUNCT
brj-23798	392	39	yin	yin	PROPN
brj-23798	392	40	,	,	PUNCT
brj-23798	392	41	y.	y.	PROPN
brj-23798	392	42	,	,	PUNCT
brj-23798	392	43	and	and	CCONJ
brj-23798	392	44	sasaki	sasaki	PROPN
brj-23798	392	45	,	,	PUNCT
brj-23798	392	46	n.	n.	NOUN
brj-23798	392	47	(	(	PUNCT
brj-23798	392	48	2016	2016	NUM
brj-23798	392	49	)	)	PUNCT
brj-23798	392	50	.	.	PUNCT
brj-23798	393	1	“	"	PUNCT
brj-23798	393	2	opportunities	opportunity	NOUN
brj-23798	393	3	for	for	ADP
brj-23798	393	4	improved	improved	ADJ
brj-23798	393	5	transparency	transparency	NOUN
brj-23798	393	6	in	in	ADP
brj-23798	393	7	the	the	DET
brj-23798	393	8	timber	timber	NOUN
brj-23798	393	9	trade	trade	NOUN
brj-23798	393	10	through	through	ADP
brj-23798	393	11	scientific	scientific	ADJ
brj-23798	393	12	verification	verification	NOUN
brj-23798	393	13	,	,	PUNCT
brj-23798	393	14	”	"	PUNCT
brj-23798	393	15	bioscience	bioscience	NOUN
brj-23798	393	16	66	66	NUM
brj-23798	393	17	(	(	PUNCT
brj-23798	393	18	11	11	NUM
brj-23798	393	19	)	)	PUNCT
brj-23798	393	20	,	,	PUNCT
brj-23798	393	21	990	990	NUM
brj-23798	393	22	-	-	SYM
brj-23798	393	23	998	998	NUM
brj-23798	393	24	.	.	PUNCT
brj-23798	394	1	doi	doi	NOUN
brj-23798	394	2	:	:	PUNCT
brj-23798	394	3	10.1093	10.1093	NUM
brj-23798	394	4	/	/	SYM
brj-23798	394	5	biosci	biosci	PROPN
brj-23798	394	6	/	/	SYM
brj-23798	394	7	biw129	biw129	PROPN
brj-23798	394	8	nasirzadeh	nasirzadeh	PROPN
brj-23798	394	9	,	,	PUNCT
brj-23798	394	10	m.	m.	NOUN
brj-23798	394	11	,	,	PUNCT
brj-23798	394	12	khazael	khazael	PROPN
brj-23798	394	13	,	,	PUNCT
brj-23798	394	14	a.	a.	NOUN
brj-23798	394	15	a.	a.	PROPN
brj-23798	394	16	,	,	PUNCT
brj-23798	394	17	and	and	CCONJ
brj-23798	394	18	bin	bin	PROPN
brj-23798	394	19	khalid	khalid	PROPN
brj-23798	394	20	,	,	PUNCT
brj-23798	394	21	m.	m.	NOUN
brj-23798	394	22	(	(	PUNCT
brj-23798	394	23	2010	2010	NUM
brj-23798	394	24	)	)	PUNCT
brj-23798	394	25	.	.	PUNCT
brj-23798	395	1	“	"	PUNCT
brj-23798	395	2	woods	wood	NOUN
brj-23798	395	3	recognition	recognition	NOUN
brj-23798	395	4	system	system	NOUN
brj-23798	395	5	peer	peer	NOUN
brj-23798	395	6	-	-	PUNCT
brj-23798	395	7	reviewed	review	VERB
brj-23798	395	8	article	article	NOUN
brj-23798	395	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	395	10	owens	owens	PROPN
brj-23798	395	11	et	et	PROPN
brj-23798	395	12	al	al	PROPN
brj-23798	395	13	.	.	PROPN
brj-23798	396	1	(	(	PUNCT
brj-23798	396	2	2024	2024	NUM
brj-23798	396	3	)	)	PUNCT
brj-23798	396	4	.	.	PUNCT
brj-23798	397	1	“	"	PUNCT
brj-23798	397	2	computer	computer	NOUN
brj-23798	397	3	-	-	PUNCT
brj-23798	397	4	vision	vision	NOUN
brj-23798	397	5	wood	wood	NOUN
brj-23798	397	6	id	id	NOUN
brj-23798	397	7	-	-	ADJ
brj-23798	397	8	ing	ing	ADJ
brj-23798	397	9	,	,	PUNCT
brj-23798	397	10	”	"	PUNCT
brj-23798	397	11	bioresources	bioresource	NOUN
brj-23798	397	12	19(4	19(4	NUM
brj-23798	397	13	)	)	PUNCT
brj-23798	397	14	,	,	PUNCT
brj-23798	397	15	9741	9741	NUM
brj-23798	397	16	-	-	SYM
brj-23798	397	17	9772	9772	NUM
brj-23798	397	18	.	.	PUNCT
brj-23798	398	1	9763	9763	NUM
brj-23798	398	2	based	base	VERB
brj-23798	398	3	on	on	ADP
brj-23798	398	4	local	local	ADJ
brj-23798	398	5	binary	binary	NOUN
brj-23798	398	6	pattern	pattern	NOUN
brj-23798	398	7	,	,	PUNCT
brj-23798	398	8	”	"	PUNCT
brj-23798	398	9	in	in	ADP
brj-23798	398	10	:	:	PUNCT
brj-23798	398	11	proceedings	proceeding	NOUN
brj-23798	398	12	of	of	ADP
brj-23798	398	13	the	the	DET
brj-23798	398	14	second	second	ADJ
brj-23798	398	15	international	international	ADJ
brj-23798	398	16	conference	conference	NOUN
brj-23798	398	17	on	on	ADP
brj-23798	398	18	computational	computational	ADJ
brj-23798	398	19	intelligence	intelligence	NOUN
brj-23798	398	20	,	,	PUNCT
brj-23798	398	21	communication	communication	NOUN
brj-23798	398	22	systems	system	NOUN
brj-23798	398	23	and	and	CCONJ
brj-23798	398	24	networks	network	NOUN
brj-23798	398	25	,	,	PUNCT
brj-23798	398	26	cicsyn	cicsyn	NOUN
brj-23798	398	27	2010	2010	NUM
brj-23798	398	28	,	,	PUNCT
brj-23798	398	29	liverpool	liverpool	PROPN
brj-23798	398	30	,	,	PUNCT
brj-23798	398	31	uk	uk	PROPN
brj-23798	398	32	,	,	PUNCT
brj-23798	398	33	pp	pp	ADJ
brj-23798	398	34	.	.	PUNCT
brj-23798	399	1	308	308	NUM
brj-23798	399	2	-	-	SYM
brj-23798	399	3	313	313	NUM
brj-23798	399	4	.	.	PUNCT
brj-23798	399	5	owens	owens	PROPN
brj-23798	399	6	,	,	PUNCT
brj-23798	399	7	f.	f.	PROPN
brj-23798	399	8	c.	c.	PROPN
brj-23798	399	9	,	,	PUNCT
brj-23798	399	10	ravindran	ravindran	NOUN
brj-23798	399	11	,	,	PUNCT
brj-23798	399	12	p.	p.	PROPN
brj-23798	399	13	,	,	PUNCT
brj-23798	399	14	c.	c.	PROPN
brj-23798	399	15	,	,	PUNCT
brj-23798	399	16	costa	costa	PROPN
brj-23798	399	17	,	,	PUNCT
brj-23798	399	18	a.	a.	PROPN
brj-23798	399	19	,	,	PUNCT
brj-23798	399	20	chavesta	chavesta	PROPN
brj-23798	399	21	,	,	PUNCT
brj-23798	399	22	m.	m.	NOUN
brj-23798	399	23	,	,	PUNCT
brj-23798	399	24	montenegro	montenegro	PROPN
brj-23798	399	25	,	,	PUNCT
brj-23798	399	26	r.	r.	PROPN
brj-23798	399	27	,	,	PUNCT
brj-23798	399	28	shmulsky	shmulsky	ADV
brj-23798	399	29	,	,	PUNCT
brj-23798	399	30	r.	r.	PROPN
brj-23798	399	31	,	,	PUNCT
brj-23798	399	32	and	and	CCONJ
brj-23798	399	33	wiedenhoeft	wiedenhoeft	VERB
brj-23798	399	34	,	,	PUNCT
brj-23798	399	35	a.	a.	PROPN
brj-23798	399	36	c.	c.	PROPN
brj-23798	399	37	(	(	PUNCT
brj-23798	399	38	2024	2024	NUM
brj-23798	399	39	)	)	PUNCT
brj-23798	399	40	“	"	PUNCT
brj-23798	399	41	robustness	robustness	NOUN
brj-23798	399	42	of	of	ADP
brj-23798	399	43	a	a	DET
brj-23798	399	44	macroscopic	macroscopic	ADJ
brj-23798	399	45	computer	computer	NOUN
brj-23798	399	46	-	-	PUNCT
brj-23798	399	47	vision	vision	NOUN
brj-23798	399	48	wood	wood	NOUN
brj-23798	399	49	identification	identification	NOUN
brj-23798	399	50	model	model	NOUN
brj-23798	399	51	to	to	ADP
brj-23798	399	52	digital	digital	ADJ
brj-23798	399	53	perturbations	perturbation	NOUN
brj-23798	399	54	of	of	ADP
brj-23798	399	55	test	test	NOUN
brj-23798	399	56	images	image	NOUN
brj-23798	399	57	,	,	PUNCT
brj-23798	399	58	”	"	PUNCT
brj-23798	399	59	iawa	iawa	PROPN
brj-23798	399	60	journal	journal	PROPN
brj-23798	399	61	.	.	PUNCT
brj-23798	400	1	published	publish	VERB
brj-23798	400	2	online	online	ADJ
brj-23798	400	3	july	july	PROPN
brj-23798	400	4	11	11	NUM
brj-23798	400	5	,	,	PUNCT
brj-23798	400	6	2024	2024	NUM
brj-23798	400	7	.	.	PUNCT
brj-23798	401	1	pan	pan	PROPN
brj-23798	401	2	,	,	PUNCT
brj-23798	401	3	s.	s.	PROPN
brj-23798	401	4	j.	j.	PROPN
brj-23798	401	5	,	,	PUNCT
brj-23798	401	6	and	and	CCONJ
brj-23798	401	7	yang	yang	PROPN
brj-23798	401	8	,	,	PUNCT
brj-23798	401	9	q.	q.	PROPN
brj-23798	401	10	(	(	PUNCT
brj-23798	401	11	2010	2010	NUM
brj-23798	401	12	)	)	PUNCT
brj-23798	401	13	.	.	PUNCT
brj-23798	402	1	“	"	PUNCT
brj-23798	402	2	a	a	DET
brj-23798	402	3	survey	survey	NOUN
brj-23798	402	4	on	on	ADP
brj-23798	402	5	transfer	transfer	NOUN
brj-23798	402	6	learning	learning	NOUN
brj-23798	402	7	,	,	PUNCT
brj-23798	402	8	”	"	PUNCT
brj-23798	402	9	ieee	ieee	NOUN
brj-23798	402	10	transactions	transaction	NOUN
brj-23798	402	11	on	on	ADP
brj-23798	402	12	knowledge	knowledge	NOUN
brj-23798	402	13	data	datum	NOUN
brj-23798	402	14	engineering	engineering	NOUN
brj-23798	402	15	22(10	22(10	NUM
brj-23798	402	16	)	)	PUNCT
brj-23798	402	17	,	,	PUNCT
brj-23798	402	18	1345	1345	NUM
brj-23798	402	19	-	-	SYM
brj-23798	402	20	1359	1359	NUM
brj-23798	402	21	.	.	PUNCT
brj-23798	403	1	doi	doi	NOUN
brj-23798	403	2	:	:	PUNCT
brj-23798	403	3	10.1109	10.1109	NUM
brj-23798	403	4	/	/	SYM
brj-23798	403	5	tkde.2009.191	tkde.2009.191	PROPN
brj-23798	403	6	panshin	panshin	PROPN
brj-23798	403	7	,	,	PUNCT
brj-23798	403	8	a.	a.	PROPN
brj-23798	403	9	j.	j.	PROPN
brj-23798	403	10	and	and	CCONJ
brj-23798	403	11	de	de	PROPN
brj-23798	403	12	zeeuw	zeeuw	PROPN
brj-23798	403	13	,	,	PUNCT
brj-23798	403	14	c.	c.	PROPN
brj-23798	403	15	(	(	PUNCT
brj-23798	403	16	1980	1980	NUM
brj-23798	403	17	)	)	PUNCT
brj-23798	403	18	.	.	PUNCT
brj-23798	404	1	textbook	textbook	NOUN
brj-23798	404	2	of	of	ADP
brj-23798	404	3	wood	wood	NOUN
brj-23798	404	4	technology	technology	NOUN
brj-23798	404	5	,	,	PUNCT
brj-23798	404	6	fourth	fourth	PROPN
brj-23798	404	7	edition	edition	NOUN
brj-23798	404	8	,	,	PUNCT
brj-23798	404	9	mcgraw	mcgraw	PROPN
brj-23798	404	10	-	-	PUNCT
brj-23798	404	11	hill	hill	PROPN
brj-23798	404	12	,	,	PUNCT
brj-23798	404	13	new	new	PROPN
brj-23798	404	14	york	york	PROPN
brj-23798	404	15	.	.	PUNCT
brj-23798	405	1	paszke	paszke	PROPN
brj-23798	405	2	,	,	PUNCT
brj-23798	405	3	a.	a.	NOUN
brj-23798	405	4	,	,	PUNCT
brj-23798	405	5	gross	gross	ADJ
brj-23798	405	6	,	,	PUNCT
brj-23798	405	7	s.	s.	PROPN
brj-23798	405	8	,	,	PUNCT
brj-23798	405	9	massa	massa	PROPN
brj-23798	405	10	,	,	PUNCT
brj-23798	405	11	f.	f.	PROPN
brj-23798	405	12	,	,	PUNCT
brj-23798	405	13	lerer	lerer	PROPN
brj-23798	405	14	,	,	PUNCT
brj-23798	405	15	a.	a.	PROPN
brj-23798	405	16	,	,	PUNCT
brj-23798	405	17	bradbury	bradbury	PROPN
brj-23798	405	18	,	,	PUNCT
brj-23798	405	19	j.	j.	PROPN
brj-23798	405	20	,	,	PUNCT
brj-23798	405	21	chanan	chanan	PROPN
brj-23798	405	22	,	,	PUNCT
brj-23798	405	23	g.	g.	PROPN
brj-23798	405	24	,	,	PUNCT
brj-23798	405	25	killeen	killeen	PROPN
brj-23798	405	26	,	,	PUNCT
brj-23798	405	27	t.	t.	PROPN
brj-23798	405	28	,	,	PUNCT
brj-23798	405	29	lin	lin	PROPN
brj-23798	405	30	,	,	PUNCT
brj-23798	405	31	z.	z.	PROPN
brj-23798	405	32	,	,	PUNCT
brj-23798	405	33	gimelshein	gimelshein	PROPN
brj-23798	405	34	,	,	PUNCT
brj-23798	405	35	n.	n.	NOUN
brj-23798	405	36	,	,	PUNCT
brj-23798	405	37	antiga	antiga	PROPN
brj-23798	405	38	,	,	PUNCT
brj-23798	405	39	l.	l.	PROPN
brj-23798	405	40	,	,	PUNCT
brj-23798	405	41	desmaison	desmaison	PROPN
brj-23798	405	42	,	,	PUNCT
brj-23798	405	43	a.	a.	NOUN
brj-23798	405	44	,	,	PUNCT
brj-23798	405	45	kopf	kopf	PROPN
brj-23798	405	46	,	,	PUNCT
brj-23798	405	47	a.	a.	PROPN
brj-23798	405	48	,	,	PUNCT
brj-23798	405	49	yang	yang	PROPN
brj-23798	405	50	,	,	PUNCT
brj-23798	405	51	e.	e.	PROPN
brj-23798	405	52	,	,	PUNCT
brj-23798	405	53	devito	devito	PROPN
brj-23798	405	54	,	,	PUNCT
brj-23798	405	55	z.	z.	PROPN
brj-23798	405	56	,	,	PUNCT
brj-23798	405	57	raison	raison	NOUN
brj-23798	405	58	,	,	PUNCT
brj-23798	405	59	m.	m.	NOUN
brj-23798	405	60	,	,	PUNCT
brj-23798	405	61	tejani	tejani	NOUN
brj-23798	405	62	,	,	PUNCT
brj-23798	405	63	a.	a.	NOUN
brj-23798	405	64	,	,	PUNCT
brj-23798	405	65	chilamkurthy	chilamkurthy	ADJ
brj-23798	405	66	,	,	PUNCT
brj-23798	405	67	s.	s.	PROPN
brj-23798	405	68	,	,	PUNCT
brj-23798	405	69	steiner	steiner	PROPN
brj-23798	405	70	,	,	PUNCT
brj-23798	405	71	b.	b.	PROPN
brj-23798	405	72	,	,	PUNCT
brj-23798	405	73	fang	fang	PROPN
brj-23798	405	74	,	,	PUNCT
brj-23798	405	75	l.	l.	PROPN
brj-23798	405	76	,	,	PUNCT
brj-23798	405	77	bai	bai	PROPN
brj-23798	405	78	,	,	PUNCT
brj-23798	405	79	j.	j.	PROPN
brj-23798	405	80	,	,	PUNCT
brj-23798	405	81	and	and	CCONJ
brj-23798	405	82	chintala	chintala	PROPN
brj-23798	405	83	,	,	PUNCT
brj-23798	405	84	s.	s.	PROPN
brj-23798	405	85	(	(	PUNCT
brj-23798	405	86	2019	2019	NUM
brj-23798	405	87	)	)	PUNCT
brj-23798	405	88	.	.	PUNCT
brj-23798	406	1	“	"	PUNCT
brj-23798	406	2	pytorch	pytorch	NOUN
brj-23798	406	3	:	:	PUNCT
brj-23798	406	4	an	an	DET
brj-23798	406	5	imperative	imperative	ADJ
brj-23798	406	6	style	style	NOUN
brj-23798	406	7	,	,	PUNCT
brj-23798	406	8	high	high	ADJ
brj-23798	406	9	-	-	PUNCT
brj-23798	406	10	performance	performance	NOUN
brj-23798	406	11	deep	deep	ADJ
brj-23798	406	12	learning	learning	NOUN
brj-23798	406	13	library	library	NOUN
brj-23798	406	14	,	,	PUNCT
brj-23798	406	15	”	"	PUNCT
brj-23798	406	16	advances	advance	NOUN
brj-23798	406	17	in	in	ADP
brj-23798	406	18	neural	neural	ADJ
brj-23798	406	19	information	information	NOUN
brj-23798	406	20	processing	processing	NOUN
brj-23798	406	21	systems	system	NOUN
brj-23798	406	22	2019	2019	NUM
brj-23798	406	23	,	,	PUNCT
brj-23798	406	24	8026	8026	NUM
brj-23798	406	25	-	-	SYM
brj-23798	406	26	8037	8037	NUM
brj-23798	406	27	.	.	PUNCT
brj-23798	407	1	pedregosa	pedregosa	PROPN
brj-23798	407	2	,	,	PUNCT
brj-23798	407	3	f.	f.	PROPN
brj-23798	407	4	,	,	PUNCT
brj-23798	407	5	varoquaux	varoquaux	PROPN
brj-23798	407	6	,	,	PUNCT
brj-23798	407	7	g.	g.	PROPN
brj-23798	407	8	,	,	PUNCT
brj-23798	407	9	gramfort	gramfort	NOUN
brj-23798	407	10	,	,	PUNCT
brj-23798	407	11	a.	a.	PROPN
brj-23798	407	12	,	,	PUNCT
brj-23798	407	13	michel	michel	PROPN
brj-23798	407	14	,	,	PUNCT
brj-23798	407	15	v.	v.	PROPN
brj-23798	407	16	,	,	PUNCT
brj-23798	407	17	thirion	thirion	NOUN
brj-23798	407	18	,	,	PUNCT
brj-23798	407	19	b.	b.	PROPN
brj-23798	407	20	,	,	PUNCT
brj-23798	407	21	grisel	grisel	PROPN
brj-23798	407	22	,	,	PUNCT
brj-23798	407	23	o.	o.	PROPN
brj-23798	407	24	,	,	PUNCT
brj-23798	407	25	blondel	blondel	NOUN
brj-23798	407	26	,	,	PUNCT
brj-23798	407	27	m.	m.	NOUN
brj-23798	407	28	,	,	PUNCT
brj-23798	407	29	prettenhofer	prettenhofer	NOUN
brj-23798	407	30	,	,	PUNCT
brj-23798	407	31	p.	p.	PROPN
brj-23798	407	32	,	,	PUNCT
brj-23798	407	33	weiss	weiss	PROPN
brj-23798	407	34	,	,	PUNCT
brj-23798	407	35	r.	r.	PROPN
brj-23798	407	36	,	,	PUNCT
brj-23798	407	37	dubourg	dubourg	NOUN
brj-23798	407	38	,	,	PUNCT
brj-23798	407	39	v.	v.	ADV
brj-23798	407	40	,	,	PUNCT
brj-23798	407	41	vanderplas	vanderplas	PROPN
brj-23798	407	42	,	,	PUNCT
brj-23798	407	43	j.	j.	PROPN
brj-23798	407	44	,	,	PUNCT
brj-23798	407	45	passos	passos	PROPN
brj-23798	407	46	,	,	PUNCT
brj-23798	407	47	a.	a.	NOUN
brj-23798	407	48	,	,	PUNCT
brj-23798	407	49	cournapeau	cournapeau	PROPN
brj-23798	407	50	,	,	PUNCT
brj-23798	407	51	d.	d.	PROPN
brj-23798	407	52	,	,	PUNCT
brj-23798	407	53	brucher	brucher	ADJ
brj-23798	407	54	,	,	PUNCT
brj-23798	407	55	m.	m.	NOUN
brj-23798	407	56	,	,	PUNCT
brj-23798	407	57	perrot	perrot	PROPN
brj-23798	407	58	,	,	PUNCT
brj-23798	407	59	m.	m.	NOUN
brj-23798	407	60	,	,	PUNCT
brj-23798	407	61	and	and	CCONJ
brj-23798	407	62	duchesnay	duchesnay	PROPN
brj-23798	407	63	,	,	PUNCT
brj-23798	407	64	e.	e.	PROPN
brj-23798	407	65	(	(	PUNCT
brj-23798	407	66	2011	2011	NUM
brj-23798	407	67	)	)	PUNCT
brj-23798	407	68	.	.	PUNCT
brj-23798	408	1	“	"	PUNCT
brj-23798	408	2	scikit	scikit	NOUN
brj-23798	408	3	-	-	PUNCT
brj-23798	408	4	learn	learn	VERB
brj-23798	408	5	:	:	PUNCT
brj-23798	408	6	machine	machine	NOUN
brj-23798	408	7	learning	learning	NOUN
brj-23798	408	8	in	in	ADP
brj-23798	408	9	python	python	NOUN
brj-23798	408	10	,	,	PUNCT
brj-23798	408	11	”	"	PUNCT
brj-23798	408	12	journal	journal	NOUN
brj-23798	408	13	of	of	ADP
brj-23798	408	14	machine	machine	NOUN
brj-23798	408	15	learning	learn	VERB
brj-23798	408	16	research	research	NOUN
brj-23798	408	17	12(85	12(85	NUM
brj-23798	408	18	)	)	PUNCT
brj-23798	408	19	,	,	PUNCT
brj-23798	408	20	2825	2825	NUM
brj-23798	408	21	-	-	SYM
brj-23798	408	22	2830	2830	NUM
brj-23798	408	23	.	.	PUNCT
brj-23798	409	1	doi	doi	NOUN
brj-23798	409	2	:	:	PUNCT
brj-23798	409	3	10.48550	10.48550	NUM
brj-23798	409	4	/	/	SYM
brj-23798	409	5	arxiv.1201.0490	arxiv.1201.0490	PRON
brj-23798	409	6	ravindran	ravindran	NOUN
brj-23798	409	7	,	,	PUNCT
brj-23798	409	8	p.	p.	NOUN
brj-23798	409	9	,	,	PUNCT
brj-23798	409	10	costa	costa	PROPN
brj-23798	409	11	,	,	PUNCT
brj-23798	409	12	a.	a.	PROPN
brj-23798	409	13	,	,	PUNCT
brj-23798	409	14	soares	soares	PROPN
brj-23798	409	15	,	,	PUNCT
brj-23798	409	16	r.	r.	PROPN
brj-23798	409	17	,	,	PUNCT
brj-23798	409	18	and	and	CCONJ
brj-23798	409	19	wiedenhoeft	wiedenhoeft	VERB
brj-23798	409	20	,	,	PUNCT
brj-23798	409	21	a.	a.	PROPN
brj-23798	409	22	c.	c.	PROPN
brj-23798	409	23	(	(	PUNCT
brj-23798	409	24	2018	2018	NUM
brj-23798	409	25	)	)	PUNCT
brj-23798	409	26	.	.	PUNCT
brj-23798	410	1	“	"	PUNCT
brj-23798	410	2	classification	classification	NOUN
brj-23798	410	3	of	of	ADP
brj-23798	410	4	cites	cite	NOUN
brj-23798	410	5	-	-	PUNCT
brj-23798	410	6	listed	list	VERB
brj-23798	410	7	and	and	CCONJ
brj-23798	410	8	other	other	ADJ
brj-23798	410	9	neotropical	neotropical	ADJ
brj-23798	410	10	meliaceae	meliaceae	NOUN
brj-23798	410	11	wood	wood	NOUN
brj-23798	410	12	images	image	NOUN
brj-23798	410	13	using	use	VERB
brj-23798	410	14	convolutional	convolutional	ADJ
brj-23798	410	15	neural	neural	ADJ
brj-23798	410	16	networks	network	NOUN
brj-23798	410	17	,	,	PUNCT
brj-23798	410	18	”	"	PUNCT
brj-23798	410	19	plant	plant	NOUN
brj-23798	410	20	methods	method	NOUN
brj-23798	410	21	14(1	14(1	NUM
brj-23798	410	22	)	)	PUNCT
brj-23798	410	23	,	,	PUNCT
brj-23798	410	24	article	article	NOUN
brj-23798	410	25	25	25	NUM
brj-23798	410	26	.	.	PUNCT
brj-23798	410	27	doi	doi	NOUN
brj-23798	410	28	:	:	PUNCT
brj-23798	410	29	10.1186	10.1186	NUM
brj-23798	410	30	/	/	SYM
brj-23798	410	31	s13007	s13007	NOUN
brj-23798	410	32	-	-	PUNCT
brj-23798	410	33	018	018	NUM
brj-23798	410	34	-	-	PUNCT
brj-23798	410	35	0292	0292	NUM
brj-23798	410	36	-	-	SYM
brj-23798	410	37	9	9	NUM
brj-23798	410	38	ravindran	ravindran	NOUN
brj-23798	410	39	,	,	PUNCT
brj-23798	410	40	p.	p.	NOUN
brj-23798	410	41	,	,	PUNCT
brj-23798	410	42	ebanyenle	ebanyenle	PROPN
brj-23798	410	43	,	,	PUNCT
brj-23798	410	44	e.	e.	PROPN
brj-23798	410	45	,	,	PUNCT
brj-23798	410	46	ebeheakey	ebeheakey	PROPN
brj-23798	410	47	,	,	PUNCT
brj-23798	410	48	a.	a.	NOUN
brj-23798	410	49	a.	a.	PROPN
brj-23798	410	50	,	,	PUNCT
brj-23798	410	51	abban	abban	PROPN
brj-23798	410	52	,	,	PUNCT
brj-23798	410	53	k.	k.	PROPN
brj-23798	410	54	b.	b.	PROPN
brj-23798	410	55	,	,	PUNCT
brj-23798	410	56	lambog	lambog	PROPN
brj-23798	410	57	,	,	PUNCT
brj-23798	410	58	o.	o.	PROPN
brj-23798	410	59	,	,	PUNCT
brj-23798	410	60	soares	soares	PROPN
brj-23798	410	61	,	,	PUNCT
brj-23798	410	62	r.	r.	PROPN
brj-23798	410	63	,	,	PUNCT
brj-23798	410	64	costa	costa	PROPN
brj-23798	410	65	,	,	PUNCT
brj-23798	410	66	a.	a.	NOUN
brj-23798	410	67	,	,	PUNCT
brj-23798	410	68	and	and	CCONJ
brj-23798	410	69	wiedenhoeft	wiedenhoeft	VERB
brj-23798	410	70	,	,	PUNCT
brj-23798	410	71	a.	a.	PROPN
brj-23798	410	72	c.	c.	PROPN
brj-23798	410	73	(	(	PUNCT
brj-23798	410	74	2019	2019	NUM
brj-23798	410	75	)	)	PUNCT
brj-23798	410	76	.	.	PUNCT
brj-23798	411	1	“	"	PUNCT
brj-23798	411	2	image	image	NOUN
brj-23798	411	3	based	base	VERB
brj-23798	411	4	identification	identification	NOUN
brj-23798	411	5	of	of	ADP
brj-23798	411	6	ghanaian	ghanaian	ADJ
brj-23798	411	7	timbers	timber	NOUN
brj-23798	411	8	using	use	VERB
brj-23798	411	9	the	the	DET
brj-23798	411	10	xylotron	xylotron	NOUN
brj-23798	411	11	:	:	PUNCT
brj-23798	411	12	opportunities	opportunity	NOUN
brj-23798	411	13	,	,	PUNCT
brj-23798	411	14	risks	risk	NOUN
brj-23798	411	15	,	,	PUNCT
brj-23798	411	16	and	and	CCONJ
brj-23798	411	17	challenges	challenge	NOUN
brj-23798	411	18	,	,	PUNCT
brj-23798	411	19	”	"	PUNCT
brj-23798	411	20	in	in	ADP
brj-23798	411	21	:	:	PUNCT
brj-23798	411	22	proceedings	proceeding	NOUN
brj-23798	411	23	2019	2019	NUM
brj-23798	411	24	workshop	workshop	NOUN
brj-23798	411	25	on	on	ADP
brj-23798	411	26	machine	machine	NOUN
brj-23798	411	27	learning	learning	NOUN
brj-23798	411	28	for	for	ADP
brj-23798	411	29	the	the	DET
brj-23798	411	30	developing	develop	VERB
brj-23798	411	31	world	world	NOUN
brj-23798	411	32	,	,	PUNCT
brj-23798	411	33	vancouver	vancouver	PROPN
brj-23798	411	34	,	,	PUNCT
brj-23798	411	35	bc	bc	PROPN
brj-23798	411	36	.	.	PROPN
brj-23798	411	37	ravindran	ravindran	PROPN
brj-23798	411	38	,	,	PUNCT
brj-23798	411	39	p.	p.	PROPN
brj-23798	411	40	,	,	PUNCT
brj-23798	411	41	thompson	thompson	PROPN
brj-23798	411	42	,	,	PUNCT
brj-23798	411	43	b.	b.	PROPN
brj-23798	411	44	j.	j.	PROPN
brj-23798	411	45	,	,	PUNCT
brj-23798	411	46	soares	soares	PROPN
brj-23798	411	47	,	,	PUNCT
brj-23798	411	48	r.	r.	PROPN
brj-23798	411	49	k.	k.	PROPN
brj-23798	411	50	,	,	PUNCT
brj-23798	411	51	and	and	CCONJ
brj-23798	411	52	wiedenhoeft	wiedenhoeft	VERB
brj-23798	411	53	,	,	PUNCT
brj-23798	411	54	a.	a.	PROPN
brj-23798	411	55	c.	c.	PROPN
brj-23798	411	56	(	(	PUNCT
brj-23798	411	57	2020	2020	NUM
brj-23798	411	58	)	)	PUNCT
brj-23798	411	59	.	.	PUNCT
brj-23798	412	1	“	"	PUNCT
brj-23798	412	2	the	the	DET
brj-23798	412	3	xylotron	xylotron	NOUN
brj-23798	412	4	:	:	PUNCT
brj-23798	412	5	flexible	flexible	ADJ
brj-23798	412	6	,	,	PUNCT
brj-23798	412	7	open	open	ADJ
brj-23798	412	8	-	-	PUNCT
brj-23798	412	9	source	source	NOUN
brj-23798	412	10	,	,	PUNCT
brj-23798	412	11	image	image	NOUN
brj-23798	412	12	-	-	PUNCT
brj-23798	412	13	based	base	VERB
brj-23798	412	14	macroscopic	macroscopic	ADJ
brj-23798	412	15	field	field	NOUN
brj-23798	412	16	identification	identification	NOUN
brj-23798	412	17	of	of	ADP
brj-23798	412	18	wood	wood	NOUN
brj-23798	412	19	products	product	NOUN
brj-23798	412	20	,	,	PUNCT
brj-23798	412	21	”	"	PUNCT
brj-23798	412	22	frontiers	frontier	NOUN
brj-23798	412	23	in	in	ADP
brj-23798	412	24	plant	plant	NOUN
brj-23798	412	25	science	science	NOUN
brj-23798	412	26	11	11	NUM
brj-23798	412	27	,	,	PUNCT
brj-23798	412	28	article	article	NOUN
brj-23798	412	29	1015	1015	NUM
brj-23798	412	30	.	.	PUNCT
brj-23798	413	1	doi	doi	NOUN
brj-23798	413	2	:	:	PUNCT
brj-23798	413	3	10.3389	10.3389	NUM
brj-23798	413	4	/	/	SYM
brj-23798	413	5	fpls.2020.01015	fpls.2020.01015	PROPN
brj-23798	413	6	ravindran	ravindran	NOUN
brj-23798	413	7	,	,	PUNCT
brj-23798	413	8	p.	p.	PROPN
brj-23798	413	9	,	,	PUNCT
brj-23798	413	10	owens	owens	PROPN
brj-23798	413	11	,	,	PUNCT
brj-23798	413	12	f.	f.	PROPN
brj-23798	413	13	c.	c.	PROPN
brj-23798	413	14	,	,	PUNCT
brj-23798	413	15	wade	wade	PROPN
brj-23798	413	16	,	,	PUNCT
brj-23798	413	17	a.	a.	PROPN
brj-23798	413	18	c.	c.	PROPN
brj-23798	413	19	,	,	PUNCT
brj-23798	413	20	vega	vega	PROPN
brj-23798	413	21	,	,	PUNCT
brj-23798	413	22	p.	p.	PROPN
brj-23798	413	23	,	,	PUNCT
brj-23798	413	24	montenegro	montenegro	PROPN
brj-23798	413	25	,	,	PUNCT
brj-23798	413	26	r.	r.	PROPN
brj-23798	413	27	,	,	PUNCT
brj-23798	413	28	shmulsky	shmulsky	ADV
brj-23798	413	29	,	,	PUNCT
brj-23798	413	30	r.	r.	PROPN
brj-23798	413	31	,	,	PUNCT
brj-23798	413	32	and	and	CCONJ
brj-23798	413	33	wiedenhoeft	wiedenhoeft	VERB
brj-23798	413	34	,	,	PUNCT
brj-23798	413	35	a.	a.	PROPN
brj-23798	413	36	c.	c.	PROPN
brj-23798	413	37	(	(	PUNCT
brj-23798	413	38	2021	2021	NUM
brj-23798	413	39	)	)	PUNCT
brj-23798	413	40	.	.	PUNCT
brj-23798	414	1	“	"	PUNCT
brj-23798	414	2	field	field	NOUN
brj-23798	414	3	-	-	PUNCT
brj-23798	414	4	deployable	deployable	NOUN
brj-23798	414	5	computer	computer	NOUN
brj-23798	414	6	vision	vision	NOUN
brj-23798	414	7	wood	wood	NOUN
brj-23798	414	8	identification	identification	NOUN
brj-23798	414	9	of	of	ADP
brj-23798	414	10	peruvian	peruvian	ADJ
brj-23798	414	11	timbers	timber	NOUN
brj-23798	414	12	,	,	PUNCT
brj-23798	414	13	”	"	PUNCT
brj-23798	414	14	frontiers	frontier	NOUN
brj-23798	414	15	in	in	ADP
brj-23798	414	16	plant	plant	NOUN
brj-23798	414	17	science	science	NOUN
brj-23798	414	18	12	12	NUM
brj-23798	414	19	,	,	PUNCT
brj-23798	414	20	article	article	NOUN
brj-23798	414	21	647515	647515	NUM
brj-23798	414	22	.	.	PUNCT
brj-23798	415	1	doi	doi	NOUN
brj-23798	415	2	:	:	PUNCT
brj-23798	415	3	10.3389	10.3389	NUM
brj-23798	415	4	/	/	SYM
brj-23798	415	5	fpls.2021.647515	fpls.2021.647515	NOUN
brj-23798	415	6	ravindran	ravindran	NOUN
brj-23798	415	7	,	,	PUNCT
brj-23798	415	8	p.	p.	NOUN
brj-23798	415	9	,	,	PUNCT
brj-23798	415	10	and	and	CCONJ
brj-23798	415	11	wiedenhoeft	wiedenhoeft	VERB
brj-23798	415	12	,	,	PUNCT
brj-23798	415	13	a.c	a.c	PROPN
brj-23798	415	14	.	.	PROPN
brj-23798	415	15	(	(	PUNCT
brj-23798	415	16	2022	2022	NUM
brj-23798	415	17	)	)	PUNCT
brj-23798	415	18	.	.	PUNCT
brj-23798	416	1	“	"	PUNCT
brj-23798	416	2	caveat	caveat	ADJ
brj-23798	416	3	emptor	emptor	NOUN
brj-23798	416	4	:	:	PUNCT
brj-23798	416	5	on	on	ADP
brj-23798	416	6	the	the	DET
brj-23798	416	7	need	need	NOUN
brj-23798	416	8	for	for	ADP
brj-23798	416	9	baseline	baseline	ADJ
brj-23798	416	10	quality	quality	NOUN
brj-23798	416	11	standards	standard	NOUN
brj-23798	416	12	in	in	ADP
brj-23798	416	13	computer	computer	NOUN
brj-23798	416	14	vision	vision	NOUN
brj-23798	416	15	wood	wood	NOUN
brj-23798	416	16	identification	identification	NOUN
brj-23798	416	17	,	,	PUNCT
brj-23798	416	18	”	"	PUNCT
brj-23798	416	19	forests	forest	VERB
brj-23798	416	20	13	13	NUM
brj-23798	416	21	,	,	PUNCT
brj-23798	416	22	article	article	NOUN
brj-23798	416	23	632	632	NUM
brj-23798	416	24	.	.	PUNCT
brj-23798	417	1	doi	doi	NOUN
brj-23798	417	2	:	:	PUNCT
brj-23798	417	3	10.3390	10.3390	NUM
brj-23798	417	4	/	/	SYM
brj-23798	417	5	f13040632	f13040632	NOUN
brj-23798	417	6	ravindran	ravindran	NOUN
brj-23798	417	7	,	,	PUNCT
brj-23798	417	8	p.	p.	PROPN
brj-23798	417	9	,	,	PUNCT
brj-23798	417	10	owens	owens	PROPN
brj-23798	417	11	,	,	PUNCT
brj-23798	417	12	f.c	f.c	PROPN
brj-23798	417	13	.	.	PROPN
brj-23798	417	14	,	,	PUNCT
brj-23798	417	15	costa	costa	PROPN
brj-23798	417	16	,	,	PUNCT
brj-23798	417	17	a.	a.	PROPN
brj-23798	417	18	,	,	PUNCT
brj-23798	417	19	rodrigues	rodrigues	PROPN
brj-23798	417	20	,	,	PUNCT
brj-23798	417	21	b.p	b.p	PROPN
brj-23798	417	22	.	.	PROPN
brj-23798	417	23	,	,	PUNCT
brj-23798	417	24	chavesta	chavesta	PROPN
brj-23798	417	25	,	,	PUNCT
brj-23798	417	26	m.	m.	NOUN
brj-23798	417	27	,	,	PUNCT
brj-23798	417	28	montenegro	montenegro	PROPN
brj-23798	417	29	,	,	PUNCT
brj-23798	417	30	r.	r.	PROPN
brj-23798	417	31	,	,	PUNCT
brj-23798	417	32	shmulsky	shmulsky	ADV
brj-23798	417	33	,	,	PUNCT
brj-23798	417	34	r.	r.	PROPN
brj-23798	417	35	,	,	PUNCT
brj-23798	417	36	and	and	CCONJ
brj-23798	417	37	a.c	a.c	PROPN
brj-23798	417	38	.	.	PROPN
brj-23798	417	39	wiedenhoeft	wiedenhoeft	PROPN
brj-23798	417	40	.	.	PUNCT
brj-23798	418	1	(	(	PUNCT
brj-23798	418	2	2023	2023	NUM
brj-23798	418	3	)	)	PUNCT
brj-23798	418	4	.	.	PUNCT
brj-23798	419	1	“	"	PUNCT
brj-23798	419	2	evaluation	evaluation	NOUN
brj-23798	419	3	of	of	ADP
brj-23798	419	4	test	test	NOUN
brj-23798	419	5	specimen	speciman	NOUN
brj-23798	419	6	surface	surface	NOUN
brj-23798	419	7	preparation	preparation	NOUN
brj-23798	419	8	on	on	ADP
brj-23798	419	9	computer	computer	NOUN
brj-23798	419	10	vision	vision	NOUN
brj-23798	419	11	wood	wood	NOUN
brj-23798	419	12	identification	identification	NOUN
brj-23798	419	13	,	,	PUNCT
brj-23798	419	14	”	"	PUNCT
brj-23798	419	15	wood	wood	NOUN
brj-23798	419	16	and	and	CCONJ
brj-23798	419	17	fiber	fiber	NOUN
brj-23798	419	18	science	science	NOUN
brj-23798	419	19	55(2	55(2	NUM
brj-23798	419	20	):	):	PUNCT
brj-23798	419	21	176	176	NUM
brj-23798	419	22	-	-	SYM
brj-23798	419	23	202	202	NUM
brj-23798	419	24	.	.	PUNCT
brj-23798	420	1	doi	doi	NOUN
brj-23798	420	2	:	:	PUNCT
brj-23798	420	3	10.22382	10.22382	NUM
brj-23798	420	4	/	/	SYM
brj-23798	420	5	wfs-2023	wfs-2023	NOUN
brj-23798	420	6	-	-	PUNCT
brj-23798	420	7	15	15	NUM
brj-23798	420	8	ravindran	ravindran	NOUN
brj-23798	420	9	,	,	PUNCT
brj-23798	420	10	p.	p.	PROPN
brj-23798	420	11	,	,	PUNCT
brj-23798	420	12	owens	owens	PROPN
brj-23798	420	13	,	,	PUNCT
brj-23798	420	14	f.	f.	PROPN
brj-23798	420	15	c.	c.	PROPN
brj-23798	420	16	,	,	PUNCT
brj-23798	420	17	wade	wade	PROPN
brj-23798	420	18	,	,	PUNCT
brj-23798	420	19	a.	a.	PROPN
brj-23798	420	20	c.	c.	PROPN
brj-23798	420	21	,	,	PUNCT
brj-23798	420	22	shmulsky	shmulsky	ADV
brj-23798	420	23	,	,	PUNCT
brj-23798	420	24	r.	r.	PROPN
brj-23798	420	25	,	,	PUNCT
brj-23798	420	26	and	and	CCONJ
brj-23798	420	27	wiedenhoeft	wiedenhoeft	VERB
brj-23798	420	28	,	,	PUNCT
brj-23798	420	29	a.	a.	PROPN
brj-23798	420	30	c.	c.	PROPN
brj-23798	420	31	(	(	PUNCT
brj-23798	420	32	2022a	2022a	NUM
brj-23798	420	33	)	)	PUNCT
brj-23798	420	34	.	.	PUNCT
brj-23798	421	1	“	"	PUNCT
brj-23798	421	2	towards	towards	ADP
brj-23798	421	3	sustainable	sustainable	ADJ
brj-23798	421	4	north	north	ADJ
brj-23798	421	5	american	american	ADJ
brj-23798	421	6	wood	wood	NOUN
brj-23798	421	7	product	product	NOUN
brj-23798	421	8	value	value	NOUN
brj-23798	421	9	chains	chain	NOUN
brj-23798	421	10	,	,	PUNCT
brj-23798	421	11	part	part	NOUN
brj-23798	421	12	i	i	PRON
brj-23798	421	13	:	:	PUNCT
brj-23798	421	14	computer	computer	NOUN
brj-23798	421	15	vision	vision	NOUN
brj-23798	421	16	identification	identification	NOUN
brj-23798	421	17	of	of	ADP
brj-23798	421	18	diffuse	diffuse	NOUN
brj-23798	421	19	-	-	PUNCT
brj-23798	421	20	porous	porous	ADJ
brj-23798	421	21	hardwoods	hardwood	NOUN
brj-23798	421	22	,	,	PUNCT
brj-23798	421	23	”	"	PUNCT
brj-23798	421	24	frontiers	frontier	NOUN
brj-23798	421	25	in	in	ADP
brj-23798	421	26	plant	plant	NOUN
brj-23798	421	27	science	science	NOUN
brj-23798	421	28	12	12	NUM
brj-23798	421	29	,	,	PUNCT
brj-23798	421	30	article	article	NOUN
brj-23798	421	31	758455	758455	NUM
brj-23798	421	32	.	.	PUNCT
brj-23798	422	1	doi	doi	NOUN
brj-23798	422	2	:	:	PUNCT
brj-23798	422	3	10.3389	10.3389	NUM
brj-23798	422	4	/	/	SYM
brj-23798	422	5	fpls.2021.758455	fpls.2021.758455	PROPN
brj-23798	422	6	ravindran	ravindran	NOUN
brj-23798	422	7	,	,	PUNCT
brj-23798	422	8	p.	p.	PROPN
brj-23798	422	9	,	,	PUNCT
brj-23798	422	10	wade	wade	PROPN
brj-23798	422	11	,	,	PUNCT
brj-23798	422	12	a.	a.	PROPN
brj-23798	422	13	c.	c.	PROPN
brj-23798	422	14	,	,	PUNCT
brj-23798	422	15	owens	owens	PROPN
brj-23798	422	16	,	,	PUNCT
brj-23798	422	17	f.	f.	PROPN
brj-23798	422	18	c.	c.	PROPN
brj-23798	422	19	,	,	PUNCT
brj-23798	422	20	shmulsky	shmulsky	ADV
brj-23798	422	21	,	,	PUNCT
brj-23798	422	22	r.	r.	PROPN
brj-23798	422	23	,	,	PUNCT
brj-23798	422	24	and	and	CCONJ
brj-23798	422	25	wiedenhoeft	wiedenhoeft	VERB
brj-23798	422	26	,	,	PUNCT
brj-23798	422	27	a.	a.	PROPN
brj-23798	422	28	c.	c.	PROPN
brj-23798	422	29	peer	peer	NOUN
brj-23798	422	30	-	-	PUNCT
brj-23798	422	31	reviewed	review	VERB
brj-23798	422	32	article	article	NOUN
brj-23798	422	33	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	422	34	owens	owens	PROPN
brj-23798	422	35	et	et	PROPN
brj-23798	422	36	al	al	PROPN
brj-23798	422	37	.	.	PROPN
brj-23798	423	1	(	(	PUNCT
brj-23798	423	2	2024	2024	NUM
brj-23798	423	3	)	)	PUNCT
brj-23798	423	4	.	.	PUNCT
brj-23798	424	1	“	"	PUNCT
brj-23798	424	2	computer	computer	NOUN
brj-23798	424	3	-	-	PUNCT
brj-23798	424	4	vision	vision	NOUN
brj-23798	424	5	wood	wood	NOUN
brj-23798	424	6	id	id	NOUN
brj-23798	424	7	-	-	ADJ
brj-23798	424	8	ing	ing	ADJ
brj-23798	424	9	,	,	PUNCT
brj-23798	424	10	”	"	PUNCT
brj-23798	424	11	bioresources	bioresource	NOUN
brj-23798	424	12	19(4	19(4	NUM
brj-23798	424	13	)	)	PUNCT
brj-23798	424	14	,	,	PUNCT
brj-23798	424	15	9741	9741	NUM
brj-23798	424	16	-	-	SYM
brj-23798	424	17	9772	9772	NUM
brj-23798	424	18	.	.	PUNCT
brj-23798	424	19	9764	9764	NUM
brj-23798	424	20	(	(	PUNCT
brj-23798	424	21	2022b	2022b	NUM
brj-23798	424	22	)	)	PUNCT
brj-23798	424	23	.	.	PUNCT
brj-23798	425	1	“	"	PUNCT
brj-23798	425	2	towards	towards	ADP
brj-23798	425	3	sustainable	sustainable	ADJ
brj-23798	425	4	north	north	ADJ
brj-23798	425	5	american	american	ADJ
brj-23798	425	6	wood	wood	NOUN
brj-23798	425	7	product	product	NOUN
brj-23798	425	8	value	value	NOUN
brj-23798	425	9	chains	chain	NOUN
brj-23798	425	10	,	,	PUNCT
brj-23798	425	11	part	part	NOUN
brj-23798	425	12	2	2	NUM
brj-23798	425	13	:	:	PUNCT
brj-23798	425	14	computer	computer	NOUN
brj-23798	425	15	vision	vision	NOUN
brj-23798	425	16	identification	identification	NOUN
brj-23798	425	17	of	of	ADP
brj-23798	425	18	ring	ring	NOUN
brj-23798	425	19	-	-	PUNCT
brj-23798	425	20	porous	porous	ADJ
brj-23798	425	21	hardwoods	hardwood	NOUN
brj-23798	425	22	,	,	PUNCT
brj-23798	425	23	”	"	PUNCT
brj-23798	425	24	canadian	canadian	ADJ
brj-23798	425	25	journal	journal	NOUN
brj-23798	425	26	of	of	ADP
brj-23798	425	27	forest	forest	PROPN
brj-23798	425	28	research	research	NOUN
brj-23798	425	29	52	52	NUM
brj-23798	425	30	,	,	PUNCT
brj-23798	425	31	1014	1014	NUM
brj-23798	425	32	-	-	SYM
brj-23798	425	33	1027	1027	NUM
brj-23798	425	34	.	.	PUNCT
brj-23798	426	1	doi	doi	NOUN
brj-23798	426	2	:	:	PUNCT
brj-23798	426	3	10.1139	10.1139	NUM
brj-23798	426	4	/	/	SYM
brj-23798	426	5	cjfr-2022	cjfr-2022	NOUN
brj-23798	426	6	-	-	PUNCT
brj-23798	426	7	0077	0077	NUM
brj-23798	426	8	roth	roth	PROPN
brj-23798	426	9	,	,	PUNCT
brj-23798	426	10	f.	f.	PROPN
brj-23798	426	11	(	(	PUNCT
brj-23798	426	12	1895	1895	NUM
brj-23798	426	13	)	)	PUNCT
brj-23798	426	14	.	.	PUNCT
brj-23798	427	1	“	"	PUNCT
brj-23798	427	2	timber	timber	NOUN
brj-23798	427	3	:	:	PUNCT
brj-23798	427	4	an	an	DET
brj-23798	427	5	elementary	elementary	ADJ
brj-23798	427	6	discussion	discussion	NOUN
brj-23798	427	7	of	of	ADP
brj-23798	427	8	the	the	DET
brj-23798	427	9	characteristics	characteristic	NOUN
brj-23798	427	10	and	and	CCONJ
brj-23798	427	11	properties	property	NOUN
brj-23798	427	12	of	of	ADP
brj-23798	427	13	wood	wood	NOUN
brj-23798	427	14	,	,	PUNCT
brj-23798	427	15	”	"	PUNCT
brj-23798	427	16	bulletin	bulletin	NOUN
brj-23798	427	17	no	no	NOUN
brj-23798	427	18	.	.	PROPN
brj-23798	427	19	10	10	NUM
brj-23798	427	20	,	,	PUNCT
brj-23798	427	21	department	department	NOUN
brj-23798	427	22	of	of	ADP
brj-23798	427	23	agriculture	agriculture	PROPN
brj-23798	427	24	,	,	PUNCT
brj-23798	427	25	forestry	forestry	NOUN
brj-23798	427	26	division	division	NOUN
brj-23798	427	27	.	.	PUNCT
brj-23798	428	1	russakovsky	russakovsky	PROPN
brj-23798	428	2	,	,	PUNCT
brj-23798	428	3	o.	o.	PROPN
brj-23798	428	4	,	,	PUNCT
brj-23798	428	5	deng	deng	PROPN
brj-23798	428	6	,	,	PUNCT
brj-23798	428	7	j.	j.	PROPN
brj-23798	428	8	,	,	PUNCT
brj-23798	428	9	su	su	PROPN
brj-23798	428	10	,	,	PUNCT
brj-23798	428	11	h.	h.	PROPN
brj-23798	428	12	,	,	PUNCT
brj-23798	428	13	krause	krause	PROPN
brj-23798	428	14	,	,	PUNCT
brj-23798	428	15	j.	j.	PROPN
brj-23798	428	16	,	,	PUNCT
brj-23798	428	17	satheesh	satheesh	PROPN
brj-23798	428	18	,	,	PUNCT
brj-23798	428	19	s.	s.	PROPN
brj-23798	428	20	,	,	PUNCT
brj-23798	428	21	ma	ma	PROPN
brj-23798	428	22	,	,	PUNCT
brj-23798	428	23	s.	s.	PROPN
brj-23798	428	24	,	,	PUNCT
brj-23798	428	25	huang	huang	PROPN
brj-23798	428	26	,	,	PUNCT
brj-23798	428	27	z.	z.	PROPN
brj-23798	428	28	,	,	PUNCT
brj-23798	428	29	karpathy	karpathy	PROPN
brj-23798	428	30	,	,	PUNCT
brj-23798	428	31	a.	a.	NOUN
brj-23798	428	32	,	,	PUNCT
brj-23798	428	33	khosla	khosla	PROPN
brj-23798	428	34	,	,	PUNCT
brj-23798	428	35	a.	a.	PROPN
brj-23798	428	36	,	,	PUNCT
brj-23798	428	37	bernstein	bernstein	PROPN
brj-23798	428	38	,	,	PUNCT
brj-23798	428	39	m.	m.	NOUN
brj-23798	428	40	,	,	PUNCT
brj-23798	428	41	berg	berg	PROPN
brj-23798	428	42	,	,	PUNCT
brj-23798	428	43	a.	a.	PROPN
brj-23798	428	44	c.	c.	PROPN
brj-23798	428	45	,	,	PUNCT
brj-23798	428	46	and	and	CCONJ
brj-23798	428	47	fei	fei	PROPN
brj-23798	428	48	-	-	PUNCT
brj-23798	428	49	fei	fei	PROPN
brj-23798	428	50	,	,	PUNCT
brj-23798	428	51	l.	l.	PROPN
brj-23798	428	52	(	(	PUNCT
brj-23798	428	53	2015	2015	NUM
brj-23798	428	54	)	)	PUNCT
brj-23798	428	55	.	.	PUNCT
brj-23798	429	1	“	"	PUNCT
brj-23798	429	2	imagenet	imagenet	ADJ
brj-23798	429	3	large	large	ADJ
brj-23798	429	4	scale	scale	NOUN
brj-23798	429	5	visual	visual	ADJ
brj-23798	429	6	recognition	recognition	NOUN
brj-23798	429	7	challenge	challenge	NOUN
brj-23798	429	8	,	,	PUNCT
brj-23798	429	9	”	"	PUNCT
brj-23798	429	10	international	international	ADJ
brj-23798	429	11	journal	journal	NOUN
brj-23798	429	12	of	of	ADP
brj-23798	429	13	computer	computer	NOUN
brj-23798	429	14	vision	vision	NOUN
brj-23798	429	15	115(3	115(3	NUM
brj-23798	429	16	)	)	PUNCT
brj-23798	429	17	,	,	PUNCT
brj-23798	429	18	211	211	NUM
brj-23798	429	19	-	-	SYM
brj-23798	429	20	252	252	NUM
brj-23798	429	21	.	.	PUNCT
brj-23798	429	22	doi	doi	NOUN
brj-23798	429	23	:	:	PUNCT
brj-23798	429	24	10.1007	10.1007	NUM
brj-23798	429	25	/	/	SYM
brj-23798	429	26	s11263	s11263	NUM
brj-23798	429	27	-	-	PUNCT
brj-23798	429	28	015	015	NUM
brj-23798	429	29	-	-	PUNCT
brj-23798	429	30	0816	0816	NUM
brj-23798	429	31	-	-	PUNCT
brj-23798	429	32	y	y	PROPN
brj-23798	429	33	shigei	shigei	NOUN
brj-23798	429	34	,	,	PUNCT
brj-23798	429	35	n.	n.	PROPN
brj-23798	429	36	,	,	PUNCT
brj-23798	429	37	mandai	mandai	PROPN
brj-23798	429	38	,	,	PUNCT
brj-23798	429	39	k.	k.	PROPN
brj-23798	429	40	,	,	PUNCT
brj-23798	429	41	sugimoto	sugimoto	PROPN
brj-23798	429	42	,	,	PUNCT
brj-23798	429	43	s.	s.	PROPN
brj-23798	429	44	,	,	PUNCT
brj-23798	429	45	takaesu	takaesu	PROPN
brj-23798	429	46	,	,	PUNCT
brj-23798	429	47	r.	r.	PROPN
brj-23798	429	48	,	,	PUNCT
brj-23798	429	49	and	and	CCONJ
brj-23798	429	50	ishizuka	ishizuka	PROPN
brj-23798	429	51	,	,	PUNCT
brj-23798	429	52	y.	y.	PROPN
brj-23798	429	53	(	(	PUNCT
brj-23798	429	54	2019	2019	NUM
brj-23798	429	55	)	)	PUNCT
brj-23798	429	56	.	.	PUNCT
brj-23798	430	1	“	"	PUNCT
brj-23798	430	2	land	land	NOUN
brj-23798	430	3	-	-	PUNCT
brj-23798	430	4	use	use	NOUN
brj-23798	430	5	classification	classification	NOUN
brj-23798	430	6	using	use	VERB
brj-23798	430	7	convolutional	convolutional	ADJ
brj-23798	430	8	neural	neural	ADJ
brj-23798	430	9	network	network	NOUN
brj-23798	430	10	with	with	ADP
brj-23798	430	11	bagging	bagging	NOUN
brj-23798	430	12	and	and	CCONJ
brj-23798	430	13	reduced	reduced	ADJ
brj-23798	430	14	categories	category	NOUN
brj-23798	430	15	,	,	PUNCT
brj-23798	430	16	”	"	PUNCT
brj-23798	430	17	in	in	ADP
brj-23798	430	18	proceedings	proceeding	NOUN
brj-23798	430	19	of	of	ADP
brj-23798	430	20	the	the	DET
brj-23798	430	21	international	international	ADJ
brj-23798	430	22	multiconference	multiconference	NOUN
brj-23798	430	23	of	of	ADP
brj-23798	430	24	engineers	engineer	NOUN
brj-23798	430	25	and	and	CCONJ
brj-23798	430	26	computer	computer	NOUN
brj-23798	430	27	scientists	scientist	NOUN
brj-23798	430	28	2019	2019	NUM
brj-23798	430	29	,	,	PUNCT
brj-23798	430	30	hong	hong	PROPN
brj-23798	430	31	kong	kong	PROPN
brj-23798	430	32	.	.	PUNCT
brj-23798	431	1	smith	smith	PROPN
brj-23798	431	2	,	,	PUNCT
brj-23798	431	3	l.	l.	PROPN
brj-23798	431	4	(	(	PUNCT
brj-23798	431	5	2018	2018	NUM
brj-23798	431	6	)	)	PUNCT
brj-23798	431	7	.	.	PUNCT
brj-23798	432	1	a	a	DET
brj-23798	432	2	disciplined	discipline	VERB
brj-23798	432	3	approach	approach	NOUN
brj-23798	432	4	to	to	ADP
brj-23798	432	5	neural	neural	ADJ
brj-23798	432	6	network	network	NOUN
brj-23798	432	7	hyper	hyper	NOUN
brj-23798	432	8	-	-	NOUN
brj-23798	432	9	parameters	parameter	NOUN
brj-23798	432	10	:	:	PUNCT
brj-23798	432	11	part	part	NOUN
brj-23798	432	12	1	1	NUM
brj-23798	432	13	–	–	PUNCT
brj-23798	432	14	learning	learn	VERB
brj-23798	432	15	rate	rate	NOUN
brj-23798	432	16	,	,	PUNCT
brj-23798	432	17	batch	batch	NOUN
brj-23798	432	18	size	size	NOUN
brj-23798	432	19	,	,	PUNCT
brj-23798	432	20	momentum	momentum	NOUN
brj-23798	432	21	,	,	PUNCT
brj-23798	432	22	and	and	CCONJ
brj-23798	432	23	weight	weight	NOUN
brj-23798	432	24	decay	decay	NOUN
brj-23798	432	25	(	(	PUNCT
brj-23798	432	26	us	us	PROPN
brj-23798	432	27	naval	naval	PROPN
brj-23798	432	28	research	research	PROPN
brj-23798	432	29	laboratory	laboratory	PROPN
brj-23798	432	30	technical	technical	PROPN
brj-23798	432	31	report	report	NOUN
brj-23798	432	32	5510	5510	NUM
brj-23798	432	33	-	-	SYM
brj-23798	432	34	026	026	NUM
brj-23798	432	35	)	)	PUNCT
brj-23798	432	36	,	,	PUNCT
brj-23798	432	37	us	us	PROPN
brj-23798	432	38	naval	naval	PROPN
brj-23798	432	39	research	research	PROPN
brj-23798	432	40	laboratory	laboratory	PROPN
brj-23798	432	41	,	,	PUNCT
brj-23798	432	42	washington	washington	PROPN
brj-23798	432	43	,	,	PUNCT
brj-23798	432	44	dc	dc	PROPN
brj-23798	432	45	.	.	PROPN
brj-23798	432	46	united	united	PROPN
brj-23798	432	47	nations	nations	PROPN
brj-23798	432	48	office	office	PROPN
brj-23798	432	49	on	on	ADP
brj-23798	432	50	drugs	drug	NOUN
brj-23798	432	51	and	and	CCONJ
brj-23798	432	52	crime	crime	NOUN
brj-23798	432	53	(	(	PUNCT
brj-23798	432	54	unodc	unodc	ADJ
brj-23798	432	55	)	)	PUNCT
brj-23798	432	56	(	(	PUNCT
brj-23798	432	57	2016	2016	NUM
brj-23798	432	58	)	)	PUNCT
brj-23798	432	59	.	.	PUNCT
brj-23798	433	1	best	good	ADJ
brj-23798	433	2	practice	practice	NOUN
brj-23798	433	3	guide	guide	NOUN
brj-23798	433	4	for	for	ADP
brj-23798	433	5	forensic	forensic	ADJ
brj-23798	433	6	timber	timber	NOUN
brj-23798	433	7	identification	identification	NOUN
brj-23798	433	8	,	,	PUNCT
brj-23798	433	9	new	new	PROPN
brj-23798	433	10	york	york	PROPN
brj-23798	433	11	.	.	PUNCT
brj-23798	434	1	wang	wang	PROPN
brj-23798	434	2	,	,	PUNCT
brj-23798	434	3	b.	b.	PROPN
brj-23798	434	4	h.	h.	PROPN
brj-23798	434	5	,	,	PUNCT
brj-23798	434	6	wang	wang	PROPN
brj-23798	434	7	,	,	PUNCT
brj-23798	434	8	h.	h.	PROPN
brj-23798	434	9	j.	j.	PROPN
brj-23798	434	10	,	,	PUNCT
brj-23798	434	11	and	and	CCONJ
brj-23798	434	12	qi	qi	PROPN
brj-23798	434	13	,	,	PUNCT
brj-23798	434	14	h.	h.	PROPN
brj-23798	434	15	n.	n.	PROPN
brj-23798	434	16	(	(	PUNCT
brj-23798	434	17	2010	2010	NUM
brj-23798	434	18	)	)	PUNCT
brj-23798	434	19	.	.	PUNCT
brj-23798	435	1	“	"	PUNCT
brj-23798	435	2	wood	wood	NOUN
brj-23798	435	3	recognition	recognition	NOUN
brj-23798	435	4	based	base	VERB
brj-23798	435	5	on	on	ADP
brj-23798	435	6	grey	grey	ADJ
brj-23798	435	7	-	-	PUNCT
brj-23798	435	8	level	level	NOUN
brj-23798	435	9	co	co	NOUN
brj-23798	435	10	-	-	NOUN
brj-23798	435	11	occurrence	occurrence	ADJ
brj-23798	435	12	matrix	matrix	NOUN
brj-23798	435	13	,	,	PUNCT
brj-23798	435	14	”	"	PUNCT
brj-23798	435	15	in	in	ADP
brj-23798	435	16	:	:	PUNCT
brj-23798	435	17	proceedings	proceeding	NOUN
brj-23798	435	18	of	of	ADP
brj-23798	435	19	the	the	DET
brj-23798	435	20	2010	2010	NUM
brj-23798	435	21	international	international	ADJ
brj-23798	435	22	conference	conference	NOUN
brj-23798	435	23	on	on	ADP
brj-23798	435	24	computer	computer	NOUN
brj-23798	435	25	application	application	NOUN
brj-23798	435	26	and	and	CCONJ
brj-23798	435	27	system	system	NOUN
brj-23798	435	28	modeling	modeling	NOUN
brj-23798	435	29	,	,	PUNCT
brj-23798	435	30	taiyuan	taiyuan	PROPN
brj-23798	435	31	,	,	PUNCT
brj-23798	435	32	china	china	PROPN
brj-23798	435	33	,	,	PUNCT
brj-23798	435	34	pp	pp	PROPN
brj-23798	435	35	.	.	PUNCT
brj-23798	436	1	269	269	NUM
brj-23798	436	2	-	-	SYM
brj-23798	436	3	272	272	NUM
brj-23798	436	4	.	.	PUNCT
brj-23798	436	5	wheeler	wheeler	NOUN
brj-23798	436	6	,	,	PUNCT
brj-23798	436	7	e.	e.	PROPN
brj-23798	436	8	a.	a.	PROPN
brj-23798	436	9	,	,	PUNCT
brj-23798	436	10	and	and	CCONJ
brj-23798	436	11	baas	baas	NOUN
brj-23798	436	12	,	,	PUNCT
brj-23798	436	13	p.	p.	NOUN
brj-23798	436	14	(	(	PUNCT
brj-23798	436	15	1998	1998	NUM
brj-23798	436	16	)	)	PUNCT
brj-23798	436	17	.	.	PUNCT
brj-23798	437	1	“	"	PUNCT
brj-23798	437	2	wood	wood	NOUN
brj-23798	437	3	identification	identification	NOUN
brj-23798	437	4	–	–	PUNCT
brj-23798	437	5	a	a	DET
brj-23798	437	6	review	review	NOUN
brj-23798	437	7	,	,	PUNCT
brj-23798	437	8	”	"	PUNCT
brj-23798	437	9	iawa	iawa	PROPN
brj-23798	437	10	journal	journal	PROPN
brj-23798	437	11	19(3	19(3	NUM
brj-23798	437	12	)	)	PUNCT
brj-23798	437	13	,	,	PUNCT
brj-23798	437	14	241	241	NUM
brj-23798	437	15	-	-	SYM
brj-23798	437	16	264	264	NUM
brj-23798	437	17	.	.	PUNCT
brj-23798	438	1	doi	doi	NOUN
brj-23798	438	2	:	:	PUNCT
brj-23798	438	3	10.1163/22941932	10.1163/22941932	NUM
brj-23798	438	4	-	-	SYM
brj-23798	438	5	90001528	90001528	NUM
brj-23798	438	6	wiedenhoeft	wiedenhoeft	NOUN
brj-23798	438	7	,	,	PUNCT
brj-23798	438	8	a.	a.	PROPN
brj-23798	438	9	c.	c.	PROPN
brj-23798	438	10	(	(	PUNCT
brj-23798	438	11	2020	2020	NUM
brj-23798	438	12	)	)	PUNCT
brj-23798	438	13	.	.	PUNCT
brj-23798	439	1	“	"	PUNCT
brj-23798	439	2	the	the	DET
brj-23798	439	3	xylophone	xylophone	NOUN
brj-23798	439	4	:	:	PUNCT
brj-23798	439	5	toward	toward	ADP
brj-23798	439	6	democratizing	democratize	VERB
brj-23798	439	7	access	access	NOUN
brj-23798	439	8	to	to	ADP
brj-23798	439	9	highquality	highquality	NOUN
brj-23798	439	10	macroscopic	macroscopic	ADJ
brj-23798	439	11	imaging	imaging	NOUN
brj-23798	439	12	for	for	ADP
brj-23798	439	13	wood	wood	NOUN
brj-23798	439	14	and	and	CCONJ
brj-23798	439	15	other	other	ADJ
brj-23798	439	16	substrates	substrate	NOUN
brj-23798	439	17	,	,	PUNCT
brj-23798	439	18	”	"	PUNCT
brj-23798	439	19	iawa	iawa	PROPN
brj-23798	439	20	journal	journal	PROPN
brj-23798	439	21	41	41	NUM
brj-23798	439	22	,	,	PUNCT
brj-23798	439	23	699719	699719	NUM
brj-23798	439	24	.	.	PUNCT
brj-23798	440	1	doi	doi	NOUN
brj-23798	440	2	:	:	PUNCT
brj-23798	440	3	10.1163/22941932	10.1163/22941932	NUM
brj-23798	440	4	-	-	PUNCT
brj-23798	440	5	bja10043	bja10043	ADJ
brj-23798	440	6	wiedenhoeft	wiedenhoeft	NOUN
brj-23798	440	7	,	,	PUNCT
brj-23798	440	8	a.	a.	PROPN
brj-23798	440	9	c.	c.	PROPN
brj-23798	440	10	,	,	PUNCT
brj-23798	440	11	simeone	simeone	PROPN
brj-23798	440	12	,	,	PUNCT
brj-23798	440	13	j.	j.	PROPN
brj-23798	440	14	,	,	PUNCT
brj-23798	440	15	smith	smith	PROPN
brj-23798	440	16	,	,	PUNCT
brj-23798	440	17	a.	a.	PROPN
brj-23798	440	18	,	,	PUNCT
brj-23798	440	19	parker	parker	PROPN
brj-23798	440	20	-	-	PUNCT
brj-23798	440	21	forney	forney	PROPN
brj-23798	440	22	,	,	PUNCT
brj-23798	440	23	m.	m.	NOUN
brj-23798	440	24	,	,	PUNCT
brj-23798	440	25	soares	soare	NOUN
brj-23798	440	26	,	,	PUNCT
brj-23798	440	27	and	and	CCONJ
brj-23798	440	28	r.	r.	PROPN
brj-23798	440	29	,	,	PUNCT
brj-23798	440	30	fishman	fishman	PROPN
brj-23798	440	31	,	,	PUNCT
brj-23798	440	32	a.	a.	NOUN
brj-23798	440	33	(	(	PUNCT
brj-23798	440	34	2019	2019	NUM
brj-23798	440	35	)	)	PUNCT
brj-23798	440	36	.	.	PUNCT
brj-23798	441	1	“	"	PUNCT
brj-23798	441	2	fraud	fraud	NOUN
brj-23798	441	3	and	and	CCONJ
brj-23798	441	4	misrepresentation	misrepresentation	NOUN
brj-23798	441	5	in	in	ADP
brj-23798	441	6	retail	retail	ADJ
brj-23798	441	7	forest	forest	NOUN
brj-23798	441	8	products	product	NOUN
brj-23798	441	9	exceeds	exceed	VERB
brj-23798	441	10	u.s	u.s	PROPN
brj-23798	441	11	.	.	PROPN
brj-23798	441	12	forensic	forensic	ADJ
brj-23798	441	13	wood	wood	NOUN
brj-23798	441	14	science	science	NOUN
brj-23798	441	15	capacity	capacity	NOUN
brj-23798	441	16	,	,	PUNCT
brj-23798	441	17	”	"	PUNCT
brj-23798	441	18	plos	plos	PROPN
brj-23798	441	19	one	one	NUM
brj-23798	441	20	14	14	NUM
brj-23798	441	21	,	,	PUNCT
brj-23798	441	22	1	1	NUM
brj-23798	441	23	-	-	SYM
brj-23798	441	24	13	13	NUM
brj-23798	441	25	.	.	PUNCT
brj-23798	442	1	doi	doi	NOUN
brj-23798	442	2	:	:	PUNCT
brj-23798	442	3	10.1371	10.1371	NUM
brj-23798	442	4	/	/	SYM
brj-23798	442	5	journal.pone.0219917	journal.pone.0219917	PROPN
brj-23798	442	6	article	article	NOUN
brj-23798	442	7	submitted	submit	VERB
brj-23798	442	8	:	:	PUNCT
brj-23798	442	9	july	july	PROPN
brj-23798	442	10	12	12	NUM
brj-23798	442	11	,	,	PUNCT
brj-23798	442	12	2024	2024	NUM
brj-23798	442	13	;	;	PUNCT
brj-23798	442	14	peer	peer	NOUN
brj-23798	442	15	review	review	NOUN
brj-23798	442	16	completed	complete	VERB
brj-23798	442	17	:	:	PUNCT
brj-23798	442	18	september	september	PROPN
brj-23798	442	19	14	14	NUM
brj-23798	442	20	,	,	PUNCT
brj-23798	442	21	2024	2024	NUM
brj-23798	442	22	;	;	PUNCT
brj-23798	442	23	revised	revise	VERB
brj-23798	442	24	version	version	NOUN
brj-23798	442	25	received	receive	VERB
brj-23798	442	26	:	:	PUNCT
brj-23798	442	27	october	october	PROPN
brj-23798	442	28	7	7	NUM
brj-23798	442	29	,	,	PUNCT
brj-23798	442	30	2024	2024	NUM
brj-23798	442	31	;	;	PUNCT
brj-23798	442	32	accepted	accept	VERB
brj-23798	442	33	:	:	PUNCT
brj-23798	442	34	october	october	PROPN
brj-23798	442	35	16	16	NUM
brj-23798	442	36	,	,	PUNCT
brj-23798	442	37	2024	2024	NUM
brj-23798	442	38	;	;	PUNCT
brj-23798	442	39	published	publish	VERB
brj-23798	442	40	:	:	PUNCT
brj-23798	442	41	october	october	PROPN
brj-23798	442	42	30	30	NUM
brj-23798	442	43	,	,	PUNCT
brj-23798	442	44	2024	2024	NUM
brj-23798	442	45	.	.	PUNCT
brj-23798	443	1	doi	doi	NOUN
brj-23798	443	2	:	:	PUNCT
brj-23798	443	3	10.15376	10.15376	NUM
brj-23798	443	4	/	/	SYM
brj-23798	443	5	biores.19.4.9741	biores.19.4.9741	NOUN
brj-23798	443	6	-	-	PUNCT
brj-23798	443	7	9772	9772	NUM
brj-23798	443	8	peer	peer	NOUN
brj-23798	443	9	-	-	PUNCT
brj-23798	443	10	reviewed	review	VERB
brj-23798	443	11	article	article	NOUN
brj-23798	443	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	443	13	owens	owens	PROPN
brj-23798	443	14	et	et	PROPN
brj-23798	443	15	al	al	PROPN
brj-23798	443	16	.	.	PROPN
brj-23798	444	1	(	(	PUNCT
brj-23798	444	2	2024	2024	NUM
brj-23798	444	3	)	)	PUNCT
brj-23798	444	4	.	.	PUNCT
brj-23798	445	1	“	"	PUNCT
brj-23798	445	2	computer	computer	NOUN
brj-23798	445	3	-	-	PUNCT
brj-23798	445	4	vision	vision	NOUN
brj-23798	445	5	wood	wood	NOUN
brj-23798	445	6	id	id	NOUN
brj-23798	445	7	-	-	ADJ
brj-23798	445	8	ing	ing	ADJ
brj-23798	445	9	,	,	PUNCT
brj-23798	445	10	”	"	PUNCT
brj-23798	445	11	bioresources	bioresource	NOUN
brj-23798	445	12	19(4	19(4	NUM
brj-23798	445	13	)	)	PUNCT
brj-23798	445	14	,	,	PUNCT
brj-23798	445	15	9741	9741	NUM
brj-23798	445	16	-	-	SYM
brj-23798	445	17	9772	9772	NUM
brj-23798	445	18	.	.	PUNCT
brj-23798	446	1	9765	9765	NUM
brj-23798	446	2	appendix	appendix	NOUN
brj-23798	446	3	table	table	NOUN
brj-23798	446	4	s1.taxa	s1.taxa	NOUN
brj-23798	446	5	used	use	VERB
brj-23798	446	6	in	in	ADP
brj-23798	446	7	model	model	NOUN
brj-23798	446	8	training	training	NOUN
brj-23798	446	9	acer	acer	PROPN
brj-23798	446	10	macrophyllum	macrophyllum	PROPN
brj-23798	446	11	acer	acer	PROPN
brj-23798	446	12	negundo	negundo	PROPN
brj-23798	446	13	acer	acer	PROPN
brj-23798	446	14	rubrum	rubrum	PROPN
brj-23798	446	15	acer	acer	PROPN
brj-23798	446	16	saccharinum	saccharinum	PROPN
brj-23798	446	17	acer	acer	PROPN
brj-23798	446	18	saccharum	saccharum	PROPN
brj-23798	446	19	aesculus	aesculus	PROPN
brj-23798	446	20	californica	californica	NOUN
brj-23798	446	21	aesculus	aesculus	ADJ
brj-23798	446	22	glabra	glabra	NOUN
brj-23798	446	23	aesculus	aesculus	ADJ
brj-23798	446	24	hippocastanum	hippocastanum	PROPN
brj-23798	446	25	aesculus	aesculus	ADJ
brj-23798	446	26	octandra	octandra	NOUN
brj-23798	446	27	alnus	alnus	PROPN
brj-23798	446	28	rhombifolia	rhombifolia	ADJ
brj-23798	446	29	alnus	alnus	PROPN
brj-23798	446	30	rubra	rubra	VERB
brj-23798	446	31	alnus	alnus	PROPN
brj-23798	446	32	rugosa	rugosa	NOUN
brj-23798	446	33	alnus	alnus	PROPN
brj-23798	446	34	serrulata	serrulata	VERB
brj-23798	446	35	alnus	alnus	PROPN
brj-23798	446	36	tenuifolia	tenuifolia	PROPN
brj-23798	446	37	arbutus	arbutus	PROPN
brj-23798	446	38	menziesii	menziesii	PROPN
brj-23798	446	39	arbutus	arbutus	PROPN
brj-23798	446	40	texana	texana	PROPN
brj-23798	446	41	asimina	asimina	PROPN
brj-23798	446	42	triloba	triloba	NOUN
brj-23798	446	43	betula	betula	PROPN
brj-23798	446	44	alleghaniensis	alleghaniensis	PROPN
brj-23798	446	45	betula	betula	PROPN
brj-23798	446	46	lenta	lenta	PROPN
brj-23798	446	47	betula	betula	PROPN
brj-23798	446	48	nigra	nigra	PROPN
brj-23798	446	49	betula	betula	PROPN
brj-23798	446	50	occidentalis	occidentali	NOUN
brj-23798	446	51	betula	betula	PROPN
brj-23798	446	52	papyrifera	papyrifera	PROPN
brj-23798	446	53	betula	betula	PROPN
brj-23798	446	54	populifolia	populifolia	PROPN
brj-23798	446	55	carpinus	carpinus	PROPN
brj-23798	446	56	caroliniana	caroliniana	PROPN
brj-23798	446	57	carya	carya	PROPN
brj-23798	446	58	aquatica	aquatica	PROPN
brj-23798	446	59	carya	carya	PROPN
brj-23798	446	60	cordiformis	cordiformis	PROPN
brj-23798	446	61	carya	carya	PROPN
brj-23798	446	62	glabra	glabra	VERB
brj-23798	446	63	carya	carya	ADJ
brj-23798	446	64	illinoinensis	illinoinensis	NOUN
brj-23798	446	65	carya	carya	NOUN
brj-23798	446	66	laciniosa	laciniosa	PROPN
brj-23798	446	67	carya	carya	PROPN
brj-23798	446	68	myristiciformis	myristiciformi	VERB
brj-23798	446	69	carya	carya	NOUN
brj-23798	446	70	ovata	ovata	NOUN
brj-23798	446	71	carya	carya	ADJ
brj-23798	446	72	texana	texana	NOUN
brj-23798	446	73	carya	carya	NOUN
brj-23798	446	74	tomentosa	tomentosa	PROPN
brj-23798	446	75	castanea	castanea	PROPN
brj-23798	446	76	dentata	dentata	PROPN
brj-23798	446	77	castanea	castanea	PROPN
brj-23798	446	78	pumila	pumila	PROPN
brj-23798	446	79	catalpa	catalpa	PROPN
brj-23798	446	80	bignonioides	bignonioide	VERB
brj-23798	446	81	catalpa	catalpa	PROPN
brj-23798	446	82	speciosa	speciosa	PROPN
brj-23798	446	83	celtis	celtis	PROPN
brj-23798	446	84	laevigata	laevigata	PROPN
brj-23798	446	85	celtis	celtis	ADJ
brj-23798	446	86	occidentalis	occidentali	NOUN
brj-23798	446	87	celtis	celtis	PROPN
brj-23798	446	88	reticulata	reticulata	PROPN
brj-23798	446	89	cladrastis	cladrastis	PROPN
brj-23798	446	90	kentukea	kentukea	PROPN
brj-23798	446	91	cladrastis	cladrastis	PROPN
brj-23798	446	92	lutea	lutea	NOUN
brj-23798	446	93	crataegus	crataegus	NOUN
brj-23798	446	94	aestivalis	aestivali	VERB
brj-23798	446	95	crataegus	crataegus	NOUN
brj-23798	446	96	assurgens	assurgen	NOUN
brj-23798	446	97	crataegus	crataegus	PROPN
brj-23798	446	98	compacti	compacti	ADJ
brj-23798	446	99	crataegus	crataegus	NOUN
brj-23798	446	100	cordata	cordata	NOUN
brj-23798	446	101	crataegus	crataegus	PROPN
brj-23798	446	102	cuneiformis	cuneiformis	PROPN
brj-23798	446	103	crataegus	crataegus	PROPN
brj-23798	446	104	douglasii	douglasii	NOUN
brj-23798	446	105	crataegus	crataegus	NOUN
brj-23798	446	106	macracantha	macracantha	NOUN
brj-23798	446	107	crataegus	crataegus	PROPN
brj-23798	446	108	mollis	mollis	PROPN
brj-23798	446	109	crataegus	crataegus	PROPN
brj-23798	446	110	nitida	nitida	PROPN
brj-23798	446	111	crataegus	crataegus	PROPN
brj-23798	446	112	rivularis	rivularis	NOUN
brj-23798	446	113	crataegus	crataegus	PROPN
brj-23798	446	114	rotundifolia	rotundifolia	PROPN
brj-23798	446	115	crataegus	crataegus	NOUN
brj-23798	446	116	spathulata	spathulata	PROPN
brj-23798	446	117	crataegus	crataegus	PROPN
brj-23798	446	118	succulenta	succulenta	PROPN
brj-23798	446	119	crataegus	crataegus	NOUN
brj-23798	446	120	tomentosa	tomentosa	PROPN
brj-23798	446	121	diospyros	diospyro	VERB
brj-23798	446	122	virginiana	virginiana	PROPN
brj-23798	446	123	fagus	fagus	PROPN
brj-23798	446	124	grandifolia	grandifolia	PROPN
brj-23798	446	125	fraxinus	fraxinus	PROPN
brj-23798	446	126	americana	americana	PROPN
brj-23798	446	127	fraxinus	fraxinus	PROPN
brj-23798	446	128	nigra	nigra	PROPN
brj-23798	446	129	fraxinus	fraxinus	PROPN
brj-23798	446	130	oregona	oregona	PROPN
brj-23798	446	131	fraxinus	fraxinus	PROPN
brj-23798	446	132	pennsylvanica	pennsylvanica	PROPN
brj-23798	446	133	fraxinus	fraxinus	PROPN
brj-23798	446	134	quadrangulata	quadrangulata	PROPN
brj-23798	446	135	gleditsia	gleditsia	PROPN
brj-23798	446	136	aquatica	aquatica	PROPN
brj-23798	446	137	gleditsia	gleditsia	NOUN
brj-23798	446	138	triacanthos	triacanthos	NOUN
brj-23798	446	139	gymnocladus	gymnocladus	VERB
brj-23798	446	140	dioica	dioica	NOUN
brj-23798	446	141	juglans	juglan	NOUN
brj-23798	446	142	cinerea	cinerea	NOUN
brj-23798	446	143	juglans	juglan	NOUN
brj-23798	446	144	nigra	nigra	PROPN
brj-23798	446	145	liquidambar	liquidambar	PROPN
brj-23798	446	146	styraciflua	styraciflua	PROPN
brj-23798	446	147	liriodendron	liriodendron	PROPN
brj-23798	446	148	tulipifera	tulipifera	PROPN
brj-23798	446	149	maclura	maclura	PROPN
brj-23798	446	150	pomifera	pomifera	NOUN
brj-23798	446	151	magnolia	magnolia	NOUN
brj-23798	446	152	acuminata	acuminata	VERB
brj-23798	446	153	magnolia	magnolia	NOUN
brj-23798	446	154	fraseri	fraseri	ADJ
brj-23798	446	155	magnolia	magnolia	PROPN
brj-23798	446	156	grandiflora	grandiflora	ADJ
brj-23798	446	157	magnolia	magnolia	NOUN
brj-23798	446	158	macrophylla	macrophylla	NOUN
brj-23798	446	159	magnolia	magnolia	PROPN
brj-23798	446	160	tripetala	tripetala	PROPN
brj-23798	446	161	magnolia	magnolia	PROPN
brj-23798	446	162	virginiana	virginiana	PROPN
brj-23798	446	163	malus	malus	PROPN
brj-23798	446	164	baccata	baccata	PROPN
brj-23798	446	165	malus	malus	PROPN
brj-23798	446	166	coronaria	coronaria	PROPN
brj-23798	446	167	malus	malus	PROPN
brj-23798	446	168	domestica	domestica	PROPN
brj-23798	446	169	malus	malus	PROPN
brj-23798	446	170	pumila	pumila	PROPN
brj-23798	446	171	malus	malus	PROPN
brj-23798	446	172	rivularis	rivularis	PROPN
brj-23798	446	173	malus	malus	PROPN
brj-23798	446	174	sp	sp	PROPN
brj-23798	446	175	.	.	PROPN
brj-23798	446	176	morus	morus	PROPN
brj-23798	446	177	alba	alba	PROPN
brj-23798	446	178	morus	morus	PROPN
brj-23798	446	179	rubra	rubra	PROPN
brj-23798	446	180	nyssa	nyssa	PROPN
brj-23798	446	181	aquatica	aquatica	PROPN
brj-23798	446	182	nyssa	nyssa	PROPN
brj-23798	446	183	biflora	biflora	PROPN
brj-23798	446	184	nyssa	nyssa	PROPN
brj-23798	446	185	ogeche	ogeche	PROPN
brj-23798	446	186	nyssa	nyssa	PROPN
brj-23798	446	187	sylvatica	sylvatica	PROPN
brj-23798	446	188	ostrya	ostrya	PROPN
brj-23798	446	189	virginiana	virginiana	PROPN
brj-23798	446	190	oxydendrum	oxydendrum	PROPN
brj-23798	446	191	arboreum	arboreum	PROPN
brj-23798	446	192	platanus	platanus	PROPN
brj-23798	446	193	occidentalis	occidentali	VERB
brj-23798	446	194	populus	populus	PROPN
brj-23798	446	195	angustifolia	angustifolia	NOUN
brj-23798	446	196	populus	populus	ADJ
brj-23798	446	197	balsamifera	balsamifera	NOUN
brj-23798	446	198	populus	populus	NOUN
brj-23798	446	199	deltoides	deltoide	NOUN
brj-23798	446	200	populus	populus	PROPN
brj-23798	446	201	fremontii	fremontii	VERB
brj-23798	446	202	populus	populus	ADJ
brj-23798	446	203	grandidentata	grandidentata	ADJ
brj-23798	446	204	populus	populus	ADJ
brj-23798	446	205	heterophylla	heterophylla	NOUN
brj-23798	446	206	populus	populus	PROPN
brj-23798	446	207	tremuloides	tremuloide	NOUN
brj-23798	446	208	malus	malus	PROPN
brj-23798	446	209	angustifolia	angustifolia	PROPN
brj-23798	446	210	populus	populus	PROPN
brj-23798	446	211	trichocarpa	trichocarpa	NOUN
brj-23798	446	212	prunus	prunus	NOUN
brj-23798	446	213	americana	americana	ADP
brj-23798	446	214	prunus	prunus	NOUN
brj-23798	446	215	angustifolia	angustifolia	NOUN
brj-23798	446	216	prunus	prunus	NOUN
brj-23798	446	217	avium	avium	NOUN
brj-23798	446	218	prunus	prunus	NOUN
brj-23798	446	219	caroliniana	caroliniana	NOUN
brj-23798	446	220	prunus	prunus	NOUN
brj-23798	446	221	emarginata	emarginata	VERB
brj-23798	446	222	prunus	prunus	NOUN
brj-23798	446	223	myrtifolia	myrtifolia	ADJ
brj-23798	446	224	prunus	prunus	NOUN
brj-23798	446	225	nigra	nigra	NOUN
brj-23798	446	226	prunus	prunus	NOUN
brj-23798	446	227	serotina	serotina	PROPN
brj-23798	446	228	pyrus	pyrus	PROPN
brj-23798	446	229	ioensis	ioensis	NOUN
brj-23798	446	230	quercus	quercus	ADJ
brj-23798	446	231	alba	alba	NOUN
brj-23798	446	232	quercus	quercus	PROPN
brj-23798	446	233	arkansana	arkansana	ADP
brj-23798	446	234	quercus	quercus	ADJ
brj-23798	446	235	bicolor	bicolor	NOUN
brj-23798	446	236	quercus	quercus	ADJ
brj-23798	446	237	coccinea	coccinea	ADJ
brj-23798	446	238	quercus	quercus	ADJ
brj-23798	446	239	ellipsoidalis	ellipsoidalis	ADJ
brj-23798	446	240	quercus	quercus	ADJ
brj-23798	446	241	falcata	falcata	ADJ
brj-23798	446	242	quercus	quercus	ADJ
brj-23798	446	243	georgiana	georgiana	PROPN
brj-23798	446	244	quercus	quercus	PROPN
brj-23798	446	245	ilicifolia	ilicifolia	PROPN
brj-23798	446	246	quercus	quercus	PROPN
brj-23798	446	247	incana	incana	PROPN
brj-23798	446	248	quercus	quercus	PROPN
brj-23798	446	249	laevis	laevis	ADJ
brj-23798	446	250	quercus	quercus	PROPN
brj-23798	446	251	laurifolia	laurifolia	PROPN
brj-23798	446	252	quercus	quercus	PROPN
brj-23798	446	253	lyrata	lyrata	PROPN
brj-23798	446	254	quercus	quercus	PROPN
brj-23798	446	255	macrocarpa	macrocarpa	PROPN
brj-23798	446	256	quercus	quercus	PROPN
brj-23798	446	257	marilandica	marilandica	PROPN
brj-23798	446	258	quercus	quercus	ADJ
brj-23798	446	259	michauxii	michauxii	NOUN
brj-23798	446	260	quercus	quercus	PROPN
brj-23798	446	261	montana	montana	PROPN
brj-23798	446	262	quercus	quercus	ADJ
brj-23798	446	263	myrtifolia	myrtifolia	ADJ
brj-23798	446	264	quercus	quercus	ADJ
brj-23798	446	265	nigra	nigra	ADJ
brj-23798	446	266	quercus	quercus	ADJ
brj-23798	446	267	palustris	palustris	NOUN
brj-23798	446	268	quercus	quercus	ADJ
brj-23798	446	269	phellos	phello	NOUN
brj-23798	446	270	quercus	quercus	ADJ
brj-23798	446	271	rubra	rubra	NOUN
brj-23798	446	272	quercus	quercus	ADJ
brj-23798	446	273	shumardii	shumardii	ADJ
brj-23798	446	274	quercus	quercus	ADJ
brj-23798	446	275	stellata	stellata	ADJ
brj-23798	446	276	quercus	quercus	ADJ
brj-23798	446	277	texana	texana	NOUN
brj-23798	446	278	quercus	quercus	ADJ
brj-23798	446	279	velutina	velutina	NOUN
brj-23798	446	280	rhamnus	rhamnus	PROPN
brj-23798	446	281	californica	californica	NOUN
brj-23798	446	282	rhamnus	rhamnus	VERB
brj-23798	446	283	cathartica	cathartica	NOUN
brj-23798	446	284	rhamnus	rhamnus	VERB
brj-23798	446	285	caroliniana	caroliniana	PROPN
brj-23798	446	286	rhamnus	rhamnus	PROPN
brj-23798	446	287	crocea	crocea	PROPN
brj-23798	446	288	rhamnus	rhamnus	PROPN
brj-23798	446	289	frangula	frangula	NOUN
brj-23798	446	290	rhamnus	rhamnus	PROPN
brj-23798	446	291	lanceolata	lanceolata	NOUN
brj-23798	446	292	rhamnus	rhamnus	PROPN
brj-23798	446	293	purshiana	purshiana	PROPN
brj-23798	446	294	rhamnus	rhamnus	PROPN
brj-23798	446	295	tomentella	tomentella	PROPN
brj-23798	446	296	robinia	robinia	NOUN
brj-23798	446	297	neomexicana	neomexicana	PROPN
brj-23798	446	298	robinia	robinia	NOUN
brj-23798	446	299	pseudoacacia	pseudoacacia	NOUN
brj-23798	446	300	salix	salix	NOUN
brj-23798	446	301	laevigata	laevigata	NOUN
brj-23798	446	302	salix	salix	NOUN
brj-23798	446	303	lasiandra	lasiandra	NOUN
brj-23798	446	304	salix	salix	NOUN
brj-23798	446	305	nigra	nigra	NOUN
brj-23798	446	306	salix	salix	NOUN
brj-23798	446	307	nuttellii	nuttellii	ADJ
brj-23798	446	308	salix	salix	NOUN
brj-23798	446	309	scouleriana	scouleriana	PROPN
brj-23798	446	310	sassafras	sassafras	PROPN
brj-23798	446	311	albidum	albidum	PROPN
brj-23798	446	312	sorbus	sorbus	PROPN
brj-23798	446	313	americana	americana	PROPN
brj-23798	446	314	sorbus	sorbus	PROPN
brj-23798	446	315	aucuparia	aucuparia	PROPN
brj-23798	446	316	sorbus	sorbus	PROPN
brj-23798	446	317	decora	decora	PROPN
brj-23798	446	318	tilia	tilia	PROPN
brj-23798	446	319	americana	americana	PROPN
brj-23798	446	320	tilia	tilia	PROPN
brj-23798	446	321	caroliniana	caroliniana	PROPN
brj-23798	446	322	tilia	tilia	PROPN
brj-23798	446	323	floridana	floridana	PROPN
brj-23798	446	324	tilia	tilia	PROPN
brj-23798	446	325	heterophylla	heterophylla	PROPN
brj-23798	446	326	tilia	tilia	PROPN
brj-23798	446	327	pubescens	pubescens	PROPN
brj-23798	446	328	ulmus	ulmus	PROPN
brj-23798	446	329	alata	alata	PROPN
brj-23798	446	330	ulmus	ulmus	PROPN
brj-23798	446	331	americana	americana	PROPN
brj-23798	446	332	ulmus	ulmus	PROPN
brj-23798	446	333	crassifolia	crassifolia	PROPN
brj-23798	446	334	ulmus	ulmus	PROPN
brj-23798	446	335	rubra	rubra	PROPN
brj-23798	446	336	ulmus	ulmus	PROPN
brj-23798	446	337	serotina	serotina	PROPN
brj-23798	446	338	ulmus	ulmus	PROPN
brj-23798	446	339	thomasii	thomasii	PROPN
brj-23798	446	340	peer	peer	NOUN
brj-23798	446	341	-	-	PUNCT
brj-23798	446	342	reviewed	review	VERB
brj-23798	446	343	article	article	NOUN
brj-23798	446	344	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	446	345	owens	owens	PROPN
brj-23798	446	346	et	et	PROPN
brj-23798	446	347	al	al	PROPN
brj-23798	446	348	.	.	PROPN
brj-23798	447	1	(	(	PUNCT
brj-23798	447	2	2024	2024	NUM
brj-23798	447	3	)	)	PUNCT
brj-23798	447	4	.	.	PUNCT
brj-23798	448	1	“	"	PUNCT
brj-23798	448	2	computer	computer	NOUN
brj-23798	448	3	-	-	PUNCT
brj-23798	448	4	vision	vision	NOUN
brj-23798	448	5	wood	wood	NOUN
brj-23798	448	6	id	id	NOUN
brj-23798	448	7	-	-	ADJ
brj-23798	448	8	ing	ing	ADJ
brj-23798	448	9	,	,	PUNCT
brj-23798	448	10	”	"	PUNCT
brj-23798	448	11	bioresources	bioresource	NOUN
brj-23798	448	12	19(4	19(4	NUM
brj-23798	448	13	)	)	PUNCT
brj-23798	448	14	,	,	PUNCT
brj-23798	448	15	9741	9741	NUM
brj-23798	448	16	-	-	SYM
brj-23798	448	17	9772	9772	NUM
brj-23798	448	18	.	.	PUNCT
brj-23798	449	1	9766	9766	NUM
brj-23798	449	2	table	table	NOUN
brj-23798	449	3	s2	s2	PROPN
brj-23798	449	4	.	.	PUNCT
brj-23798	449	5	taxa	taxa	NOUN
brj-23798	449	6	used	use	VERB
brj-23798	449	7	in	in	ADP
brj-23798	449	8	model	model	NOUN
brj-23798	449	9	testing	testing	NOUN
brj-23798	449	10	acer	acer	PROPN
brj-23798	449	11	macrophyllum	macrophyllum	PROPN
brj-23798	449	12	acer	acer	PROPN
brj-23798	449	13	negundo	negundo	PROPN
brj-23798	449	14	acer	acer	PROPN
brj-23798	449	15	rubrum	rubrum	PROPN
brj-23798	449	16	acer	acer	PROPN
brj-23798	449	17	saccharinum	saccharinum	PROPN
brj-23798	449	18	acer	acer	PROPN
brj-23798	449	19	saccharum	saccharum	PROPN
brj-23798	449	20	aesculus	aesculus	PROPN
brj-23798	449	21	californica	californica	NOUN
brj-23798	449	22	aesculus	aesculus	ADJ
brj-23798	449	23	glabra	glabra	NOUN
brj-23798	449	24	aesculus	aesculus	NOUN
brj-23798	449	25	octandra	octandra	NOUN
brj-23798	449	26	alnus	alnus	PROPN
brj-23798	449	27	incana	incana	PROPN
brj-23798	449	28	alnus	alnus	PROPN
brj-23798	450	1	rhombifolia	rhombifolia	ADJ
brj-23798	450	2	alnus	alnus	PROPN
brj-23798	450	3	rubra	rubra	PROPN
brj-23798	450	4	arbutus	arbutus	PROPN
brj-23798	450	5	menziesii	menziesii	PROPN
brj-23798	450	6	arbutus	arbutus	PROPN
brj-23798	450	7	xalapensis	xalapensis	PROPN
brj-23798	450	8	asimina	asimina	PROPN
brj-23798	450	9	triloba	triloba	NOUN
brj-23798	450	10	betula	betula	PROPN
brj-23798	450	11	lenta	lenta	PROPN
brj-23798	450	12	betula	betula	PROPN
brj-23798	450	13	nigra	nigra	PROPN
brj-23798	450	14	betula	betula	PROPN
brj-23798	450	15	occidentalis	occidentali	NOUN
brj-23798	450	16	betula	betula	PROPN
brj-23798	450	17	papyrifera	papyrifera	PROPN
brj-23798	450	18	betula	betula	PROPN
brj-23798	450	19	populifolia	populifolia	PROPN
brj-23798	450	20	carpinus	carpinus	PROPN
brj-23798	450	21	caroliniana	caroliniana	PROPN
brj-23798	450	22	carya	carya	PROPN
brj-23798	450	23	aquatica	aquatica	PROPN
brj-23798	450	24	carya	carya	PROPN
brj-23798	450	25	cordiformis	cordiformis	PROPN
brj-23798	450	26	carya	carya	PROPN
brj-23798	450	27	glabra	glabra	VERB
brj-23798	450	28	carya	carya	ADJ
brj-23798	450	29	illinoinensis	illinoinensis	NOUN
brj-23798	450	30	carya	carya	NOUN
brj-23798	450	31	laciniosa	laciniosa	PROPN
brj-23798	450	32	carya	carya	NOUN
brj-23798	450	33	ovata	ovata	NOUN
brj-23798	450	34	carya	carya	NOUN
brj-23798	450	35	tomentosa	tomentosa	PROPN
brj-23798	450	36	castanea	castanea	PROPN
brj-23798	450	37	dentata	dentata	PROPN
brj-23798	450	38	catalpa	catalpa	PROPN
brj-23798	450	39	speciosa	speciosa	NOUN
brj-23798	450	40	celtis	celtis	PROPN
brj-23798	450	41	occidentalis	occidentali	NOUN
brj-23798	450	42	celtis	celtis	PROPN
brj-23798	450	43	sp	sp	PROPN
brj-23798	450	44	.	.	PROPN
brj-23798	450	45	cladrastis	cladrastis	ADJ
brj-23798	450	46	lutea	lutea	NOUN
brj-23798	450	47	crataegus	crataegus	NOUN
brj-23798	450	48	aestivalis	aestivali	VERB
brj-23798	450	49	crataegus	crataegus	PROPN
brj-23798	450	50	calpodendron	calpodendron	NOUN
brj-23798	450	51	crataegus	crataegus	PROPN
brj-23798	450	52	douglasii	douglasii	NOUN
brj-23798	450	53	crataegus	crataegus	NOUN
brj-23798	450	54	mollis	molli	VERB
brj-23798	450	55	crataegus	crataegus	PROPN
brj-23798	450	56	rivularis	rivularis	NOUN
brj-23798	450	57	crataegus	crataegus	PROPN
brj-23798	450	58	spathulata	spathulata	PROPN
brj-23798	450	59	diospyros	diospyro	VERB
brj-23798	450	60	virginiana	virginiana	PROPN
brj-23798	450	61	fagus	fagus	PROPN
brj-23798	450	62	grandifolia	grandifolia	PROPN
brj-23798	450	63	frangula	frangula	PROPN
brj-23798	450	64	purshiana	purshiana	PROPN
brj-23798	450	65	fraxinus	fraxinus	PROPN
brj-23798	450	66	nigra	nigra	PROPN
brj-23798	450	67	fraxinus	fraxinus	PROPN
brj-23798	450	68	pennsylvanica	pennsylvanica	PROPN
brj-23798	450	69	fraxinus	fraxinus	PROPN
brj-23798	450	70	quadrangulata	quadrangulata	PROPN
brj-23798	450	71	gleditsia	gleditsia	NOUN
brj-23798	450	72	triacanthos	triacanthos	NOUN
brj-23798	450	73	gymnocladus	gymnocladus	VERB
brj-23798	450	74	dioica	dioica	NOUN
brj-23798	450	75	juglans	juglan	NOUN
brj-23798	450	76	cinerea	cinerea	NOUN
brj-23798	450	77	juglans	juglan	NOUN
brj-23798	450	78	nigra	nigra	PROPN
brj-23798	450	79	liquidambar	liquidambar	PROPN
brj-23798	450	80	styraciflua	styraciflua	PROPN
brj-23798	450	81	liriodendron	liriodendron	PROPN
brj-23798	450	82	tulipifera	tulipifera	PROPN
brj-23798	450	83	maclura	maclura	PROPN
brj-23798	450	84	pomifera	pomifera	NOUN
brj-23798	450	85	maclura	maclura	PROPN
brj-23798	450	86	sp	sp	PROPN
brj-23798	450	87	.	.	PROPN
brj-23798	450	88	magnolia	magnolia	PROPN
brj-23798	450	89	acuminata	acuminata	PROPN
brj-23798	450	90	magnolia	magnolia	PROPN
brj-23798	450	91	fraseri	fraseri	ADJ
brj-23798	450	92	magnolia	magnolia	PROPN
brj-23798	450	93	grandiflora	grandiflora	ADJ
brj-23798	450	94	magnolia	magnolia	NOUN
brj-23798	450	95	macrophylla	macrophylla	NOUN
brj-23798	450	96	magnolia	magnolia	PROPN
brj-23798	450	97	tripetala	tripetala	PROPN
brj-23798	450	98	magnolia	magnolia	PROPN
brj-23798	450	99	virginiana	virginiana	PROPN
brj-23798	450	100	malus	malus	PROPN
brj-23798	450	101	angustifolia	angustifolia	PROPN
brj-23798	450	102	malus	malus	PROPN
brj-23798	450	103	coronaria	coronaria	PROPN
brj-23798	450	104	malus	malus	PROPN
brj-23798	450	105	fusca	fusca	PROPN
brj-23798	450	106	malus	malus	PROPN
brj-23798	450	107	pumila	pumila	PROPN
brj-23798	450	108	morus	morus	PROPN
brj-23798	450	109	alba	alba	PROPN
brj-23798	450	110	morus	morus	PROPN
brj-23798	450	111	rubra	rubra	PROPN
brj-23798	450	112	nyssa	nyssa	PROPN
brj-23798	450	113	aquatica	aquatica	PROPN
brj-23798	450	114	nyssa	nyssa	PROPN
brj-23798	450	115	ogeche	ogeche	PROPN
brj-23798	450	116	nyssa	nyssa	PROPN
brj-23798	450	117	sylvatica	sylvatica	PROPN
brj-23798	450	118	nyssa	nyssa	PROPN
brj-23798	450	119	sylvatica	sylvatica	PROPN
brj-23798	450	120	var	var	PROPN
brj-23798	450	121	.	.	PUNCT
brj-23798	451	1	biflora	biflora	PROPN
brj-23798	451	2	ostrya	ostrya	NOUN
brj-23798	451	3	virginiana	virginiana	PROPN
brj-23798	451	4	oxydendrum	oxydendrum	PROPN
brj-23798	451	5	arboreum	arboreum	PROPN
brj-23798	451	6	platanus	platanus	PROPN
brj-23798	451	7	occidentalis	occidentali	VERB
brj-23798	451	8	populus	populus	PROPN
brj-23798	451	9	angustifolia	angustifolia	NOUN
brj-23798	451	10	populus	populus	ADJ
brj-23798	451	11	balsamifera	balsamifera	NOUN
brj-23798	451	12	populus	populus	NOUN
brj-23798	451	13	deltoides	deltoide	NOUN
brj-23798	451	14	populus	populus	PROPN
brj-23798	451	15	fremontii	fremontii	VERB
brj-23798	451	16	populus	populus	ADJ
brj-23798	451	17	grandidentata	grandidentata	ADJ
brj-23798	451	18	populus	populus	ADJ
brj-23798	451	19	heterophylla	heterophylla	NOUN
brj-23798	451	20	populus	populus	ADJ
brj-23798	451	21	tremuloides	tremuloide	NOUN
brj-23798	451	22	populus	populus	ADJ
brj-23798	451	23	trichocarpa	trichocarpa	NOUN
brj-23798	451	24	prunus	prunus	NOUN
brj-23798	451	25	americana	americana	ADP
brj-23798	451	26	prunus	prunus	NOUN
brj-23798	451	27	angustifolia	angustifolia	NOUN
brj-23798	451	28	prunus	prunus	NOUN
brj-23798	451	29	caroliniana	caroliniana	PROPN
brj-23798	451	30	prunus	prunus	NOUN
brj-23798	451	31	emarginata	emarginata	VERB
brj-23798	451	32	prunus	prunus	NOUN
brj-23798	451	33	myrtifolia	myrtifolia	ADJ
brj-23798	451	34	prunus	prunus	NOUN
brj-23798	451	35	serotina	serotina	NOUN
brj-23798	451	36	quercus	quercus	ADJ
brj-23798	451	37	alba	alba	NOUN
brj-23798	451	38	quercus	quercus	ADJ
brj-23798	451	39	bicolor	bicolor	NOUN
brj-23798	451	40	quercus	quercus	ADJ
brj-23798	451	41	coccinea	coccinea	ADJ
brj-23798	451	42	quercus	quercus	ADJ
brj-23798	451	43	falcata	falcata	ADJ
brj-23798	451	44	quercus	quercus	ADJ
brj-23798	451	45	laurifolia	laurifolia	NOUN
brj-23798	451	46	quercus	quercus	PROPN
brj-23798	451	47	lyrata	lyrata	PROPN
brj-23798	451	48	quercus	quercus	PROPN
brj-23798	451	49	macrocarpa	macrocarpa	PROPN
brj-23798	451	50	quercus	quercus	PROPN
brj-23798	451	51	marilandica	marilandica	PROPN
brj-23798	451	52	quercus	quercus	PROPN
brj-23798	451	53	montana	montana	PROPN
brj-23798	451	54	quercus	quercus	ADJ
brj-23798	451	55	nigra	nigra	NOUN
brj-23798	451	56	quercus	quercus	ADJ
brj-23798	451	57	phellos	phello	NOUN
brj-23798	451	58	quercus	quercus	ADJ
brj-23798	451	59	shumardii	shumardii	ADJ
brj-23798	451	60	quercus	quercus	ADJ
brj-23798	451	61	velutina	velutina	NOUN
brj-23798	451	62	rhamnus	rhamnus	PROPN
brj-23798	451	63	crocea	crocea	PROPN
brj-23798	451	64	robinia	robinia	NOUN
brj-23798	451	65	pseudoacacia	pseudoacacia	NOUN
brj-23798	451	66	salix	salix	NOUN
brj-23798	451	67	laevigata	laevigata	NOUN
brj-23798	451	68	salix	salix	NOUN
brj-23798	451	69	lasiandra	lasiandra	NOUN
brj-23798	451	70	salix	salix	NOUN
brj-23798	451	71	nigra	nigra	NOUN
brj-23798	451	72	salix	salix	NOUN
brj-23798	451	73	scouleriana	scouleriana	PROPN
brj-23798	451	74	sassafras	sassafras	PROPN
brj-23798	451	75	albidum	albidum	PROPN
brj-23798	451	76	sassafras	sassafras	PROPN
brj-23798	451	77	sp	sp	PROPN
brj-23798	451	78	.	.	PROPN
brj-23798	451	79	sorbus	sorbus	PROPN
brj-23798	451	80	americana	americana	PROPN
brj-23798	451	81	sorbus	sorbus	PROPN
brj-23798	451	82	decora	decora	PROPN
brj-23798	451	83	tilia	tilia	PROPN
brj-23798	451	84	americana	americana	PROPN
brj-23798	451	85	tilia	tilia	PROPN
brj-23798	451	86	americana	americana	PROPN
brj-23798	451	87	var	var	PROPN
brj-23798	451	88	.	.	PUNCT
brj-23798	452	1	heterophylla	heterophylla	PROPN
brj-23798	452	2	ulmus	ulmus	PROPN
brj-23798	453	1	americana	americana	PROPN
brj-23798	453	2	ulmus	ulmus	PROPN
brj-23798	453	3	thomasii	thomasii	PROPN
brj-23798	453	4	prediction	prediction	NOUN
brj-23798	453	5	metrics	metric	NOUN
brj-23798	453	6	for	for	ADP
brj-23798	453	7	resnet50	resnet50	NOUN
brj-23798	453	8	field	field	NOUN
brj-23798	453	9	model	model	NOUN
brj-23798	453	10	these	these	DET
brj-23798	453	11	tables	table	NOUN
brj-23798	453	12	and	and	CCONJ
brj-23798	453	13	figures	figure	NOUN
brj-23798	453	14	show	show	VERB
brj-23798	453	15	the	the	DET
brj-23798	453	16	accuracies	accuracy	NOUN
brj-23798	453	17	and	and	CCONJ
brj-23798	453	18	confusion	confusion	NOUN
brj-23798	453	19	matrices	matrix	NOUN
brj-23798	453	20	of	of	ADP
brj-23798	453	21	the	the	DET
brj-23798	453	22	resnet50	resnet50	NOUN
brj-23798	453	23	field	field	NOUN
brj-23798	453	24	model	model	NOUN
brj-23798	453	25	for	for	ADP
brj-23798	453	26	the	the	DET
brj-23798	453	27	39and	39and	ADJ
brj-23798	453	28	42	42	NUM
brj-23798	453	29	-	-	PUNCT
brj-23798	453	30	class	class	NOUN
brj-23798	453	31	models	model	NOUN
brj-23798	453	32	(	(	PUNCT
brj-23798	453	33	39dp	39dp	NOUN
brj-23798	453	34	-	-	PUNCT
brj-23798	453	35	rp	rp	NOUN
brj-23798	453	36	and	and	CCONJ
brj-23798	453	37	42dp	42dp	NOUN
brj-23798	453	38	-	-	PUNCT
brj-23798	453	39	rp	rp	NOUN
brj-23798	453	40	-	-	PUNCT
brj-23798	453	41	srp	srp	NOUN
brj-23798	453	42	,	,	PUNCT
brj-23798	453	43	respectively	respectively	ADV
brj-23798	453	44	)	)	PUNCT
brj-23798	453	45	.	.	PUNCT
brj-23798	454	1	the	the	DET
brj-23798	454	2	model	model	NOUN
brj-23798	454	3	performance	performance	NOUN
brj-23798	454	4	metrics	metric	NOUN
brj-23798	454	5	were	be	AUX
brj-23798	454	6	created	create	VERB
brj-23798	454	7	using	use	VERB
brj-23798	454	8	the	the	DET
brj-23798	454	9	predictions	prediction	NOUN
brj-23798	454	10	of	of	ADP
brj-23798	454	11	the	the	DET
brj-23798	454	12	resnet50	resnet50	NOUN
brj-23798	454	13	field	field	NOUN
brj-23798	454	14	model	model	NOUN
brj-23798	454	15	(	(	PUNCT
brj-23798	454	16	the	the	DET
brj-23798	454	17	model	model	NOUN
brj-23798	454	18	that	that	PRON
brj-23798	454	19	was	be	AUX
brj-23798	454	20	trained	train	VERB
brj-23798	454	21	with	with	ADP
brj-23798	454	22	all	all	DET
brj-23798	454	23	the	the	DET
brj-23798	454	24	training	training	NOUN
brj-23798	454	25	datasets	dataset	NOUN
brj-23798	454	26	)	)	PUNCT
brj-23798	454	27	on	on	ADP
brj-23798	454	28	the	the	DET
brj-23798	454	29	testing	testing	NOUN
brj-23798	454	30	dataset	dataset	NOUN
brj-23798	454	31	obtained	obtain	VERB
brj-23798	454	32	from	from	ADP
brj-23798	454	33	the	the	DET
brj-23798	454	34	specimens	specimen	NOUN
brj-23798	454	35	in	in	ADP
brj-23798	454	36	the	the	DET
brj-23798	454	37	pacw	pacw	NOUN
brj-23798	454	38	and	and	CCONJ
brj-23798	454	39	teaching	teach	VERB
brj-23798	454	40	wood	wood	NOUN
brj-23798	454	41	collections	collection	NOUN
brj-23798	454	42	at	at	ADP
brj-23798	454	43	mississippi	mississippi	PROPN
brj-23798	454	44	state	state	PROPN
brj-23798	454	45	university	university	PROPN
brj-23798	454	46	.	.	PUNCT
brj-23798	455	1	the	the	DET
brj-23798	455	2	accuracies	accuracy	NOUN
brj-23798	455	3	of	of	ADP
brj-23798	455	4	the	the	DET
brj-23798	455	5	resnet50	resnet50	NOUN
brj-23798	455	6	models	model	NOUN
brj-23798	455	7	are	be	AUX
brj-23798	455	8	in	in	ADP
brj-23798	455	9	table	table	NOUN
brj-23798	455	10	s3	s3	PROPN
brj-23798	455	11	.	.	PUNCT
brj-23798	456	1	confusion	confusion	NOUN
brj-23798	456	2	matrices	matrix	NOUN
brj-23798	456	3	appear	appear	VERB
brj-23798	456	4	in	in	ADP
brj-23798	456	5	figs	fig	NOUN
brj-23798	456	6	.	.	PUNCT
brj-23798	457	1	s1	s1	NOUN
brj-23798	457	2	and	and	CCONJ
brj-23798	457	3	s2	s2	PROPN
brj-23798	457	4	.	.	PROPN
brj-23798	457	5	table	table	PROPN
brj-23798	457	6	s3	s3	PROPN
brj-23798	457	7	.	.	PROPN
brj-23798	457	8	top-1	top-1	PUNCT
brj-23798	457	9	and	and	CCONJ
brj-23798	457	10	top-2	top-2	NOUN
brj-23798	457	11	specimen	speciman	NOUN
brj-23798	457	12	level	level	NOUN
brj-23798	457	13	accuracies	accuracy	NOUN
brj-23798	457	14	of	of	ADP
brj-23798	457	15	resnet50	resnet50	NOUN
brj-23798	457	16	field	field	NOUN
brj-23798	457	17	model	model	NOUN
brj-23798	457	18	label	label	NOUN
brj-23798	457	19	space	space	NOUN
brj-23798	457	20	top-1	top-1	PRON
brj-23798	457	21	accuracy	accuracy	NOUN
brj-23798	457	22	(	(	PUNCT
brj-23798	457	23	%	%	NOUN
brj-23798	457	24	)	)	PUNCT
brj-23798	457	25	top-2	top-2	NOUN
brj-23798	457	26	accuracy	accuracy	NOUN
brj-23798	457	27	(	(	PUNCT
brj-23798	457	28	%	%	INTJ
brj-23798	457	29	)	)	PUNCT
brj-23798	457	30	39dp	39dp	NOUN
brj-23798	457	31	-	-	PUNCT
brj-23798	457	32	rp	rp	NOUN
brj-23798	457	33	75.9	75.9	NUM
brj-23798	457	34	87.3	87.3	NUM
brj-23798	457	35	42dp	42dp	ADJ
brj-23798	457	36	-	-	PUNCT
brj-23798	457	37	rp	rp	NOUN
brj-23798	457	38	-	-	PUNCT
brj-23798	457	39	srp	srp	NOUN
brj-23798	457	40	83.7	83.7	NUM
brj-23798	457	41	94.3	94.3	NUM
brj-23798	457	42	top-1	top-1	PUNCT
brj-23798	457	43	and	and	CCONJ
brj-23798	457	44	top-2	top-2	NOUN
brj-23798	457	45	specimen	speciman	NOUN
brj-23798	457	46	level	level	NOUN
brj-23798	457	47	accuracies	accuracy	NOUN
brj-23798	457	48	of	of	ADP
brj-23798	457	49	resnet50	resnet50	NOUN
brj-23798	457	50	field	field	NOUN
brj-23798	457	51	model	model	NOUN
brj-23798	457	52	.	.	PUNCT
brj-23798	458	1	the	the	DET
brj-23798	458	2	accuracies	accuracy	NOUN
brj-23798	458	3	were	be	AUX
brj-23798	458	4	computed	compute	VERB
brj-23798	458	5	using	use	VERB
brj-23798	458	6	the	the	DET
brj-23798	458	7	testing	testing	NOUN
brj-23798	458	8	specimens	specimen	NOUN
brj-23798	458	9	sourced	source	VERB
brj-23798	458	10	from	from	ADP
brj-23798	458	11	mississippi	mississippi	PROPN
brj-23798	458	12	state	state	PROPN
brj-23798	458	13	university	university	PROPN
brj-23798	458	14	’s	’s	PART
brj-23798	458	15	pacw	pacw	NOUN
brj-23798	458	16	and	and	CCONJ
brj-23798	458	17	teaching	teaching	NOUN
brj-23798	458	18	collections	collection	NOUN
brj-23798	458	19	and	and	CCONJ
brj-23798	458	20	were	be	AUX
brj-23798	458	21	not	not	PART
brj-23798	458	22	used	use	VERB
brj-23798	458	23	for	for	ADP
brj-23798	458	24	model	model	NOUN
brj-23798	458	25	training	training	NOUN
brj-23798	458	26	.	.	PUNCT
brj-23798	459	1	peer	peer	NOUN
brj-23798	459	2	-	-	PUNCT
brj-23798	459	3	reviewed	review	VERB
brj-23798	459	4	article	article	NOUN
brj-23798	459	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	459	6	owens	owens	PROPN
brj-23798	459	7	et	et	PROPN
brj-23798	459	8	al	al	PROPN
brj-23798	459	9	.	.	PROPN
brj-23798	460	1	(	(	PUNCT
brj-23798	460	2	2024	2024	NUM
brj-23798	460	3	)	)	PUNCT
brj-23798	460	4	.	.	PUNCT
brj-23798	461	1	“	"	PUNCT
brj-23798	461	2	computer	computer	NOUN
brj-23798	461	3	-	-	PUNCT
brj-23798	461	4	vision	vision	NOUN
brj-23798	461	5	wood	wood	NOUN
brj-23798	461	6	id	id	NOUN
brj-23798	461	7	-	-	ADJ
brj-23798	461	8	ing	ing	ADJ
brj-23798	461	9	,	,	PUNCT
brj-23798	461	10	”	"	PUNCT
brj-23798	461	11	bioresources	bioresource	NOUN
brj-23798	461	12	19(4	19(4	NUM
brj-23798	461	13	)	)	PUNCT
brj-23798	461	14	,	,	PUNCT
brj-23798	461	15	9741	9741	NUM
brj-23798	461	16	-	-	SYM
brj-23798	461	17	9772	9772	NUM
brj-23798	461	18	.	.	PUNCT
brj-23798	461	19	9767	9767	NUM
brj-23798	461	20	fig	fig	NOUN
brj-23798	461	21	.	.	PUNCT
brj-23798	462	1	s1	s1	NOUN
brj-23798	462	2	.	.	PUNCT
brj-23798	462	3	confusion	confusion	NOUN
brj-23798	462	4	matrix	matrix	NOUN
brj-23798	462	5	of	of	ADP
brj-23798	462	6	resnet50	resnet50	NOUN
brj-23798	462	7	field	field	NOUN
brj-23798	462	8	model	model	NOUN
brj-23798	462	9	on	on	ADP
brj-23798	462	10	test	test	NOUN
brj-23798	462	11	specimens	specimen	NOUN
brj-23798	462	12	for	for	ADP
brj-23798	462	13	the	the	DET
brj-23798	462	14	consolidated	consolidated	ADJ
brj-23798	462	15	39dprp	39dprp	PROPN
brj-23798	462	16	model	model	NOUN
brj-23798	462	17	.	.	PUNCT
brj-23798	463	1	counts	count	NOUN
brj-23798	463	2	in	in	ADP
brj-23798	463	3	the	the	DET
brj-23798	463	4	diagonal	diagonal	ADJ
brj-23798	463	5	cells	cell	NOUN
brj-23798	463	6	indicate	indicate	VERB
brj-23798	463	7	correct	correct	ADJ
brj-23798	463	8	predictions	prediction	NOUN
brj-23798	463	9	.	.	PUNCT
brj-23798	464	1	off	off	ADP
brj-23798	464	2	-	-	PUNCT
brj-23798	464	3	diagonal	diagonal	ADJ
brj-23798	464	4	counts	count	NOUN
brj-23798	464	5	indicate	indicate	VERB
brj-23798	464	6	misclassifications	misclassification	NOUN
brj-23798	464	7	.	.	PUNCT
brj-23798	465	1	the	the	DET
brj-23798	465	2	blue	blue	ADJ
brj-23798	465	3	dotted	dotted	ADJ
brj-23798	465	4	lines	line	NOUN
brj-23798	465	5	delineate	delineate	VERB
brj-23798	465	6	porosity	porosity	NOUN
brj-23798	465	7	domains	domain	NOUN
brj-23798	465	8	.	.	PUNCT
brj-23798	466	1	from	from	ADP
brj-23798	466	2	acerh	acerh	NOUN
brj-23798	466	3	to	to	ADP
brj-23798	466	4	tilia	tilia	PROPN
brj-23798	466	5	are	be	AUX
brj-23798	466	6	diffuse	diffuse	ADJ
brj-23798	466	7	-	-	PUNCT
brj-23798	466	8	porous	porous	ADJ
brj-23798	466	9	classes	class	NOUN
brj-23798	466	10	and	and	CCONJ
brj-23798	466	11	from	from	ADP
brj-23798	466	12	asimina	asimina	NOUN
brj-23798	466	13	to	to	ADP
brj-23798	466	14	ulmuss	ulmuss	ADJ
brj-23798	466	15	are	be	AUX
brj-23798	466	16	ring	ring	NOUN
brj-23798	466	17	-	-	PUNCT
brj-23798	466	18	porous	porous	ADJ
brj-23798	466	19	classes	class	NOUN
brj-23798	466	20	.	.	PUNCT
brj-23798	467	1	counts	count	NOUN
brj-23798	467	2	appearing	appear	VERB
brj-23798	467	3	in	in	ADP
brj-23798	467	4	the	the	DET
brj-23798	467	5	top	top	ADJ
brj-23798	467	6	right	right	NOUN
brj-23798	467	7	and	and	CCONJ
brj-23798	467	8	bottom	bottom	ADJ
brj-23798	467	9	left	left	ADJ
brj-23798	467	10	regions	region	NOUN
brj-23798	467	11	are	be	AUX
brj-23798	467	12	cross	cross	ADJ
brj-23798	467	13	-	-	ADJ
brj-23798	467	14	domain	domain	ADJ
brj-23798	467	15	misclassifications	misclassification	NOUN
brj-23798	467	16	for	for	ADP
brj-23798	467	17	porosity	porosity	NOUN
brj-23798	467	18	.	.	PUNCT
brj-23798	468	1	n	n	NOUN
brj-23798	468	2	=	=	SYM
brj-23798	468	3	482	482	NUM
brj-23798	468	4	peer	peer	NOUN
brj-23798	468	5	-	-	PUNCT
brj-23798	468	6	reviewed	review	VERB
brj-23798	468	7	article	article	NOUN
brj-23798	468	8	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	468	9	owens	owens	PROPN
brj-23798	468	10	et	et	PROPN
brj-23798	468	11	al	al	PROPN
brj-23798	468	12	.	.	PROPN
brj-23798	469	1	(	(	PUNCT
brj-23798	469	2	2024	2024	NUM
brj-23798	469	3	)	)	PUNCT
brj-23798	469	4	.	.	PUNCT
brj-23798	470	1	“	"	PUNCT
brj-23798	470	2	computer	computer	NOUN
brj-23798	470	3	-	-	PUNCT
brj-23798	470	4	vision	vision	NOUN
brj-23798	470	5	wood	wood	NOUN
brj-23798	470	6	id	id	NOUN
brj-23798	470	7	-	-	ADJ
brj-23798	470	8	ing	ing	ADJ
brj-23798	470	9	,	,	PUNCT
brj-23798	470	10	”	"	PUNCT
brj-23798	470	11	bioresources	bioresource	NOUN
brj-23798	470	12	19(4	19(4	NUM
brj-23798	470	13	)	)	PUNCT
brj-23798	470	14	,	,	PUNCT
brj-23798	470	15	9741	9741	NUM
brj-23798	470	16	-	-	SYM
brj-23798	470	17	9772	9772	NUM
brj-23798	470	18	.	.	PUNCT
brj-23798	470	19	9768	9768	NUM
brj-23798	470	20	fig	fig	NOUN
brj-23798	470	21	.	.	PUNCT
brj-23798	471	1	s2	s2	PROPN
brj-23798	471	2	.	.	PUNCT
brj-23798	471	3	confusion	confusion	NOUN
brj-23798	471	4	matrix	matrix	NOUN
brj-23798	471	5	of	of	ADP
brj-23798	471	6	resnet50	resnet50	NOUN
brj-23798	471	7	field	field	NOUN
brj-23798	471	8	model	model	NOUN
brj-23798	471	9	on	on	ADP
brj-23798	471	10	test	test	NOUN
brj-23798	471	11	specimens	specimen	NOUN
brj-23798	471	12	for	for	ADP
brj-23798	471	13	label	label	NOUN
brj-23798	471	14	space	space	NOUN
brj-23798	471	15	42dp	42dp	NOUN
brj-23798	471	16	-	-	PUNCT
brj-23798	471	17	rpsrp	rpsrp	PROPN
brj-23798	471	18	.	.	PUNCT
brj-23798	472	1	counts	count	NOUN
brj-23798	472	2	in	in	ADP
brj-23798	472	3	the	the	DET
brj-23798	472	4	diagonal	diagonal	ADJ
brj-23798	472	5	cells	cell	NOUN
brj-23798	472	6	indicate	indicate	VERB
brj-23798	472	7	correct	correct	ADJ
brj-23798	472	8	predictions	prediction	NOUN
brj-23798	472	9	.	.	PUNCT
brj-23798	473	1	off	off	ADP
brj-23798	473	2	-	-	PUNCT
brj-23798	473	3	diagonal	diagonal	ADJ
brj-23798	473	4	counts	count	NOUN
brj-23798	473	5	indicate	indicate	VERB
brj-23798	473	6	misclassifications	misclassification	NOUN
brj-23798	473	7	.	.	PUNCT
brj-23798	474	1	the	the	DET
brj-23798	474	2	blue	blue	ADJ
brj-23798	474	3	dotted	dotted	ADJ
brj-23798	474	4	lines	line	NOUN
brj-23798	474	5	delineate	delineate	VERB
brj-23798	474	6	porosity	porosity	NOUN
brj-23798	474	7	domains	domain	NOUN
brj-23798	474	8	.	.	PUNCT
brj-23798	475	1	from	from	ADP
brj-23798	475	2	acerh	acerh	NOUN
brj-23798	475	3	to	to	ADP
brj-23798	475	4	tilia	tilia	PROPN
brj-23798	475	5	are	be	AUX
brj-23798	475	6	diffuse	diffuse	ADJ
brj-23798	475	7	-	-	PUNCT
brj-23798	475	8	porous	porous	ADJ
brj-23798	475	9	classes	class	NOUN
brj-23798	475	10	,	,	PUNCT
brj-23798	475	11	from	from	ADP
brj-23798	475	12	diospyros	diospyro	NOUN
brj-23798	475	13	to	to	ADP
brj-23798	475	14	juglansn	juglansn	PROPN
brj-23798	475	15	are	be	AUX
brj-23798	475	16	semi	semi	ADJ
brj-23798	475	17	-	-	ADJ
brj-23798	475	18	ring	ring	ADJ
brj-23798	475	19	-	-	PUNCT
brj-23798	475	20	porous	porous	ADJ
brj-23798	475	21	classes	class	NOUN
brj-23798	475	22	,	,	PUNCT
brj-23798	475	23	and	and	CCONJ
brj-23798	475	24	from	from	ADP
brj-23798	475	25	asimina	asimina	NOUN
brj-23798	475	26	to	to	ADP
brj-23798	475	27	ulmuss	ulmuss	ADJ
brj-23798	475	28	are	be	AUX
brj-23798	475	29	ring	ring	NOUN
brj-23798	475	30	-	-	PUNCT
brj-23798	475	31	porous	porous	ADJ
brj-23798	475	32	classes	class	NOUN
brj-23798	475	33	.	.	PUNCT
brj-23798	476	1	counts	count	NOUN
brj-23798	476	2	appearing	appear	VERB
brj-23798	476	3	in	in	ADP
brj-23798	476	4	the	the	DET
brj-23798	476	5	top	top	ADJ
brj-23798	476	6	right	right	NOUN
brj-23798	476	7	and	and	CCONJ
brj-23798	476	8	bottom	bottom	ADJ
brj-23798	476	9	left	left	ADJ
brj-23798	476	10	regions	region	NOUN
brj-23798	476	11	are	be	AUX
brj-23798	476	12	cross	cross	ADJ
brj-23798	476	13	-	-	ADJ
brj-23798	476	14	domain	domain	ADJ
brj-23798	476	15	misclassifications	misclassification	NOUN
brj-23798	476	16	for	for	ADP
brj-23798	476	17	ring	ring	NOUN
brj-23798	476	18	-	-	PUNCT
brj-23798	476	19	porous	porous	ADJ
brj-23798	476	20	and	and	CCONJ
brj-23798	476	21	diffuse	diffuse	ADJ
brj-23798	476	22	-	-	PUNCT
brj-23798	476	23	porous	porous	ADJ
brj-23798	476	24	porosity	porosity	NOUN
brj-23798	476	25	domains	domain	NOUN
brj-23798	476	26	.	.	PUNCT
brj-23798	477	1	there	there	PRON
brj-23798	477	2	were	be	VERB
brj-23798	477	3	no	no	DET
brj-23798	477	4	semi	semi	ADJ
brj-23798	477	5	-	-	ADJ
brj-23798	477	6	ring	ring	ADJ
brj-23798	477	7	-	-	PUNCT
brj-23798	477	8	porous	porous	ADJ
brj-23798	477	9	misclassifications	misclassification	NOUN
brj-23798	477	10	.	.	PUNCT
brj-23798	477	11	n=	n=	ADJ
brj-23798	477	12	510	510	NUM
brj-23798	477	13	5	5	NUM
brj-23798	477	14	-	-	ADJ
brj-23798	477	15	fold	fold	ADJ
brj-23798	477	16	cross	cross	NOUN
brj-23798	477	17	validation	validation	NOUN
brj-23798	477	18	prediction	prediction	NOUN
brj-23798	477	19	metrics	metric	NOUN
brj-23798	477	20	these	these	DET
brj-23798	477	21	tables	table	NOUN
brj-23798	477	22	and	and	CCONJ
brj-23798	477	23	figures	figure	NOUN
brj-23798	477	24	show	show	VERB
brj-23798	477	25	the	the	DET
brj-23798	477	26	five	five	NUM
brj-23798	477	27	-	-	ADJ
brj-23798	477	28	fold	fold	ADJ
brj-23798	477	29	cross	cross	ADJ
brj-23798	477	30	-	-	ADJ
brj-23798	477	31	validation	validation	ADJ
brj-23798	477	32	accuracies	accuracy	NOUN
brj-23798	477	33	and	and	CCONJ
brj-23798	477	34	confusion	confusion	NOUN
brj-23798	477	35	matrices	matrix	NOUN
brj-23798	477	36	of	of	ADP
brj-23798	477	37	the	the	DET
brj-23798	477	38	resnet34	resnet34	NOUN
brj-23798	477	39	and	and	CCONJ
brj-23798	477	40	resnet50	resnet50	NOUN
brj-23798	477	41	backbones	backbone	NOUN
brj-23798	477	42	for	for	ADP
brj-23798	477	43	the	the	DET
brj-23798	477	44	39and	39and	ADJ
brj-23798	477	45	42	42	NUM
brj-23798	477	46	-	-	PUNCT
brj-23798	477	47	class	class	NOUN
brj-23798	477	48	models	model	NOUN
brj-23798	477	49	(	(	PUNCT
brj-23798	477	50	39dp	39dp	NOUN
brj-23798	477	51	-	-	PUNCT
brj-23798	477	52	rp	rp	NOUN
brj-23798	477	53	and	and	CCONJ
brj-23798	477	54	42dp	42dp	NOUN
brj-23798	477	55	-	-	PUNCT
brj-23798	477	56	rp	rp	NOUN
brj-23798	477	57	-	-	PUNCT
brj-23798	477	58	srp	srp	NOUN
brj-23798	477	59	,	,	PUNCT
brj-23798	477	60	respectively	respectively	ADV
brj-23798	477	61	)	)	PUNCT
brj-23798	477	62	.	.	PUNCT
brj-23798	478	1	the	the	DET
brj-23798	478	2	confusion	confusion	NOUN
brj-23798	478	3	matrices	matrix	NOUN
brj-23798	478	4	and	and	CCONJ
brj-23798	478	5	accuracies	accuracy	NOUN
brj-23798	478	6	are	be	AUX
brj-23798	478	7	obtained	obtain	VERB
brj-23798	478	8	by	by	ADP
brj-23798	478	9	aggregating	aggregate	VERB
brj-23798	478	10	model	model	NOUN
brj-23798	478	11	predictions	prediction	NOUN
brj-23798	478	12	on	on	ADP
brj-23798	478	13	the	the	DET
brj-23798	478	14	validation	validation	NOUN
brj-23798	478	15	splits	split	VERB
brj-23798	478	16	over	over	ADP
brj-23798	478	17	the	the	DET
brj-23798	478	18	five	five	NUM
brj-23798	478	19	folds	fold	NOUN
brj-23798	478	20	.	.	PUNCT
brj-23798	479	1	the	the	DET
brj-23798	479	2	specimen	speciman	NOUN
brj-23798	479	3	level	level	VERB
brj-23798	479	4	five	five	NUM
brj-23798	479	5	-	-	ADJ
brj-23798	479	6	fold	fold	ADJ
brj-23798	479	7	cross	cross	ADJ
brj-23798	479	8	-	-	ADJ
brj-23798	479	9	validation	validation	ADJ
brj-23798	479	10	accuracies	accuracy	NOUN
brj-23798	479	11	of	of	ADP
brj-23798	479	12	the	the	DET
brj-23798	479	13	resnet34	resnet34	NOUN
brj-23798	479	14	and	and	CCONJ
brj-23798	479	15	resnet50	resnet50	NOUN
brj-23798	479	16	are	be	AUX
brj-23798	479	17	shown	show	VERB
brj-23798	479	18	in	in	ADP
brj-23798	479	19	table	table	NOUN
brj-23798	479	20	s4	s4	NOUN
brj-23798	479	21	.	.	PUNCT
brj-23798	480	1	confusion	confusion	NOUN
brj-23798	480	2	matrices	matrix	NOUN
brj-23798	480	3	for	for	ADP
brj-23798	480	4	the	the	DET
brj-23798	480	5	top-1	top-1	PUNCT
brj-23798	480	6	results	result	NOUN
brj-23798	480	7	resnet34	resnet34	NOUN
brj-23798	480	8	and	and	CCONJ
brj-23798	480	9	resnet50	resnet50	NOUN
brj-23798	480	10	appear	appear	VERB
brj-23798	480	11	in	in	ADP
brj-23798	480	12	figures	figure	NOUN
brj-23798	480	13	s3	s3	PROPN
brj-23798	480	14	,	,	PUNCT
brj-23798	480	15	s4	s4	PROPN
brj-23798	480	16	and	and	CCONJ
brj-23798	480	17	s5	s5	PROPN
brj-23798	480	18	,	,	PUNCT
brj-23798	480	19	s6	s6	PROPN
brj-23798	480	20	,	,	PUNCT
brj-23798	480	21	respectfully	respectfully	ADV
brj-23798	480	22	.	.	PUNCT
brj-23798	481	1	peer	peer	NOUN
brj-23798	481	2	-	-	PUNCT
brj-23798	481	3	reviewed	review	VERB
brj-23798	481	4	article	article	NOUN
brj-23798	481	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	481	6	owens	owens	PROPN
brj-23798	481	7	et	et	PROPN
brj-23798	481	8	al	al	PROPN
brj-23798	481	9	.	.	PROPN
brj-23798	482	1	(	(	PUNCT
brj-23798	482	2	2024	2024	NUM
brj-23798	482	3	)	)	PUNCT
brj-23798	482	4	.	.	PUNCT
brj-23798	483	1	“	"	PUNCT
brj-23798	483	2	computer	computer	NOUN
brj-23798	483	3	-	-	PUNCT
brj-23798	483	4	vision	vision	NOUN
brj-23798	483	5	wood	wood	NOUN
brj-23798	483	6	id	id	NOUN
brj-23798	483	7	-	-	ADJ
brj-23798	483	8	ing	ing	ADJ
brj-23798	483	9	,	,	PUNCT
brj-23798	483	10	”	"	PUNCT
brj-23798	483	11	bioresources	bioresource	NOUN
brj-23798	483	12	19(4	19(4	NUM
brj-23798	483	13	)	)	PUNCT
brj-23798	483	14	,	,	PUNCT
brj-23798	483	15	9741	9741	NUM
brj-23798	483	16	-	-	SYM
brj-23798	483	17	9772	9772	NUM
brj-23798	483	18	.	.	PUNCT
brj-23798	483	19	9769	9769	NUM
brj-23798	483	20	table	table	NOUN
brj-23798	483	21	s4	s4	NOUN
brj-23798	483	22	.	.	PUNCT
brj-23798	483	23	top-1	top-1	PUNCT
brj-23798	483	24	and	and	CCONJ
brj-23798	483	25	top-2	top-2	NOUN
brj-23798	483	26	specimen	speciman	NOUN
brj-23798	483	27	level	level	NOUN
brj-23798	483	28	accuracies	accuracy	NOUN
brj-23798	483	29	for	for	ADP
brj-23798	483	30	the	the	DET
brj-23798	483	31	cross	cross	ADJ
brj-23798	483	32	-	-	ADJ
brj-23798	483	33	validation	validation	ADJ
brj-23798	483	34	analysis	analysis	NOUN
brj-23798	483	35	label	label	NOUN
brj-23798	483	36	space	space	NOUN
brj-23798	483	37	resnet34	resnet34	NOUN
brj-23798	483	38	accuracies	accuracy	NOUN
brj-23798	483	39	(	(	PUNCT
brj-23798	483	40	%	%	INTJ
brj-23798	483	41	)	)	PUNCT
brj-23798	483	42	resnet50	resnet50	NOUN
brj-23798	483	43	accuracies	accuracy	NOUN
brj-23798	483	44	(	(	PUNCT
brj-23798	483	45	%	%	INTJ
brj-23798	483	46	)	)	PUNCT
brj-23798	483	47	top-1	top-1	PUNCT
brj-23798	483	48	top-2	top-2	VERB
brj-23798	483	49	top-1	top-1	NOUN
brj-23798	483	50	top-2	top-2	NOUN
brj-23798	483	51	39dp	39dp	NOUN
brj-23798	483	52	-	-	PUNCT
brj-23798	483	53	rp	rp	NOUN
brj-23798	483	54	93.9	93.9	NUM
brj-23798	483	55	97.8	97.8	NUM
brj-23798	483	56	92.2	92.2	NUM
brj-23798	483	57	95.6	95.6	NUM
brj-23798	483	58	42dp	42dp	ADJ
brj-23798	483	59	-	-	PUNCT
brj-23798	483	60	rp	rp	NOUN
brj-23798	483	61	-	-	PUNCT
brj-23798	483	62	srp	srp	NOUN
brj-23798	483	63	95.1	95.1	NUM
brj-23798	483	64	98.5	98.5	NUM
brj-23798	483	65	93.0	93.0	NUM
brj-23798	483	66	96.2	96.2	NUM
brj-23798	483	67	fig	fig	NOUN
brj-23798	483	68	.	.	PUNCT
brj-23798	484	1	s3	s3	PROPN
brj-23798	484	2	.	.	PUNCT
brj-23798	484	3	confusion	confusion	NOUN
brj-23798	484	4	matrix	matrix	NOUN
brj-23798	484	5	for	for	ADP
brj-23798	484	6	specimen	speciman	NOUN
brj-23798	484	7	-	-	PUNCT
brj-23798	484	8	level	level	NOUN
brj-23798	484	9	five	five	NUM
brj-23798	484	10	-	-	ADJ
brj-23798	484	11	fold	fold	ADJ
brj-23798	484	12	cross	cross	NOUN
brj-23798	484	13	validation	validation	NOUN
brj-23798	484	14	analysis	analysis	NOUN
brj-23798	484	15	of	of	ADP
brj-23798	484	16	resnet34	resnet34	NOUN
brj-23798	484	17	model	model	NOUN
brj-23798	484	18	for	for	ADP
brj-23798	484	19	39dp	39dp	ADJ
brj-23798	484	20	-	-	PUNCT
brj-23798	484	21	rp	rp	NOUN
brj-23798	484	22	model	model	NOUN
brj-23798	484	23	.	.	PUNCT
brj-23798	485	1	counts	count	NOUN
brj-23798	485	2	in	in	ADP
brj-23798	485	3	the	the	DET
brj-23798	485	4	diagonal	diagonal	ADJ
brj-23798	485	5	cells	cell	NOUN
brj-23798	485	6	indicate	indicate	VERB
brj-23798	485	7	correct	correct	ADJ
brj-23798	485	8	predictions	prediction	NOUN
brj-23798	485	9	.	.	PUNCT
brj-23798	486	1	off	off	ADP
brj-23798	486	2	-	-	PUNCT
brj-23798	486	3	diagonal	diagonal	ADJ
brj-23798	486	4	counts	count	NOUN
brj-23798	486	5	indicate	indicate	VERB
brj-23798	486	6	misclassifications	misclassification	NOUN
brj-23798	486	7	.	.	PUNCT
brj-23798	487	1	the	the	DET
brj-23798	487	2	blue	blue	ADJ
brj-23798	487	3	dotted	dotted	ADJ
brj-23798	487	4	lines	line	NOUN
brj-23798	487	5	delineate	delineate	VERB
brj-23798	487	6	porosity	porosity	NOUN
brj-23798	487	7	domains	domain	NOUN
brj-23798	487	8	.	.	PUNCT
brj-23798	488	1	from	from	ADP
brj-23798	488	2	acerh	acerh	NOUN
brj-23798	488	3	to	to	ADP
brj-23798	488	4	tilia	tilia	PROPN
brj-23798	488	5	are	be	AUX
brj-23798	488	6	diffuse	diffuse	ADJ
brj-23798	488	7	-	-	PUNCT
brj-23798	488	8	porous	porous	ADJ
brj-23798	488	9	classes	class	NOUN
brj-23798	488	10	and	and	CCONJ
brj-23798	488	11	from	from	ADP
brj-23798	488	12	asimina	asimina	NOUN
brj-23798	488	13	to	to	ADP
brj-23798	488	14	ulmuss	ulmuss	ADJ
brj-23798	488	15	are	be	AUX
brj-23798	488	16	ring	ring	NOUN
brj-23798	488	17	-	-	PUNCT
brj-23798	488	18	porous	porous	ADJ
brj-23798	488	19	classes	class	NOUN
brj-23798	488	20	.	.	PUNCT
brj-23798	489	1	counts	count	NOUN
brj-23798	489	2	appearing	appear	VERB
brj-23798	489	3	in	in	ADP
brj-23798	489	4	the	the	DET
brj-23798	489	5	top	top	ADJ
brj-23798	489	6	right	right	NOUN
brj-23798	489	7	and	and	CCONJ
brj-23798	489	8	bottom	bottom	ADJ
brj-23798	489	9	left	left	ADJ
brj-23798	489	10	regions	region	NOUN
brj-23798	489	11	are	be	AUX
brj-23798	489	12	cross	cross	ADJ
brj-23798	489	13	-	-	ADJ
brj-23798	489	14	domain	domain	ADJ
brj-23798	489	15	misclassifications	misclassification	NOUN
brj-23798	489	16	for	for	ADP
brj-23798	489	17	porosity	porosity	NOUN
brj-23798	489	18	.	.	PUNCT
brj-23798	490	1	n	n	NOUN
brj-23798	490	2	=	=	NOUN
brj-23798	490	3	956	956	NUM
brj-23798	490	4	.	.	PUNCT
brj-23798	490	5	peer	peer	NOUN
brj-23798	490	6	-	-	PUNCT
brj-23798	490	7	reviewed	review	VERB
brj-23798	490	8	article	article	NOUN
brj-23798	490	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	490	10	owens	owens	PROPN
brj-23798	490	11	et	et	PROPN
brj-23798	490	12	al	al	PROPN
brj-23798	490	13	.	.	PROPN
brj-23798	491	1	(	(	PUNCT
brj-23798	491	2	2024	2024	NUM
brj-23798	491	3	)	)	PUNCT
brj-23798	491	4	.	.	PUNCT
brj-23798	492	1	“	"	PUNCT
brj-23798	492	2	computer	computer	NOUN
brj-23798	492	3	-	-	PUNCT
brj-23798	492	4	vision	vision	NOUN
brj-23798	492	5	wood	wood	NOUN
brj-23798	492	6	id	id	NOUN
brj-23798	492	7	-	-	ADJ
brj-23798	492	8	ing	ing	ADJ
brj-23798	492	9	,	,	PUNCT
brj-23798	492	10	”	"	PUNCT
brj-23798	492	11	bioresources	bioresource	NOUN
brj-23798	492	12	19(4	19(4	NUM
brj-23798	492	13	)	)	PUNCT
brj-23798	492	14	,	,	PUNCT
brj-23798	492	15	9741	9741	NUM
brj-23798	492	16	-	-	SYM
brj-23798	492	17	9772	9772	NUM
brj-23798	492	18	.	.	PUNCT
brj-23798	493	1	9770	9770	NUM
brj-23798	493	2	fig	fig	NOUN
brj-23798	493	3	.	.	PUNCT
brj-23798	494	1	s4	s4	PROPN
brj-23798	494	2	.	.	PUNCT
brj-23798	495	1	confusion	confusion	NOUN
brj-23798	495	2	matrix	matrix	NOUN
brj-23798	495	3	for	for	ADP
brj-23798	495	4	specimen	speciman	NOUN
brj-23798	495	5	-	-	PUNCT
brj-23798	495	6	level	level	NOUN
brj-23798	495	7	five	five	NUM
brj-23798	495	8	-	-	ADJ
brj-23798	495	9	fold	fold	ADJ
brj-23798	495	10	cross	cross	NOUN
brj-23798	495	11	validation	validation	NOUN
brj-23798	495	12	analysis	analysis	NOUN
brj-23798	495	13	of	of	ADP
brj-23798	495	14	resnet34	resnet34	NOUN
brj-23798	495	15	model	model	NOUN
brj-23798	495	16	for	for	ADP
brj-23798	495	17	42dp	42dp	PROPN
brj-23798	495	18	-	-	PUNCT
brj-23798	495	19	rp	rp	NOUN
brj-23798	495	20	-	-	PUNCT
brj-23798	495	21	srp	srp	NOUN
brj-23798	495	22	.	.	PUNCT
brj-23798	496	1	counts	count	NOUN
brj-23798	496	2	in	in	ADP
brj-23798	496	3	the	the	DET
brj-23798	496	4	diagonal	diagonal	ADJ
brj-23798	496	5	cells	cell	NOUN
brj-23798	496	6	indicate	indicate	VERB
brj-23798	496	7	correct	correct	ADJ
brj-23798	496	8	predictions	prediction	NOUN
brj-23798	496	9	.	.	PUNCT
brj-23798	497	1	off	off	ADP
brj-23798	497	2	-	-	PUNCT
brj-23798	497	3	diagonal	diagonal	ADJ
brj-23798	497	4	counts	count	NOUN
brj-23798	497	5	indicate	indicate	VERB
brj-23798	497	6	misclassifications	misclassification	NOUN
brj-23798	497	7	.	.	PUNCT
brj-23798	498	1	the	the	DET
brj-23798	498	2	blue	blue	ADJ
brj-23798	498	3	dotted	dotted	ADJ
brj-23798	498	4	lines	line	NOUN
brj-23798	498	5	delineate	delineate	VERB
brj-23798	498	6	porosity	porosity	NOUN
brj-23798	498	7	domains	domain	NOUN
brj-23798	498	8	.	.	PUNCT
brj-23798	499	1	from	from	ADP
brj-23798	499	2	acerh	acerh	NOUN
brj-23798	499	3	to	to	ADP
brj-23798	499	4	tilia	tilia	PROPN
brj-23798	499	5	are	be	AUX
brj-23798	499	6	diffuse	diffuse	ADJ
brj-23798	499	7	-	-	PUNCT
brj-23798	499	8	porous	porous	ADJ
brj-23798	499	9	classes	class	NOUN
brj-23798	499	10	,	,	PUNCT
brj-23798	499	11	from	from	ADP
brj-23798	499	12	diospyros	diospyro	NOUN
brj-23798	499	13	to	to	ADP
brj-23798	499	14	juglansn	juglansn	PROPN
brj-23798	499	15	are	be	AUX
brj-23798	499	16	semi	semi	ADJ
brj-23798	499	17	-	-	ADJ
brj-23798	499	18	ring	ring	ADJ
brj-23798	499	19	-	-	PUNCT
brj-23798	499	20	porous	porous	ADJ
brj-23798	499	21	classes	class	NOUN
brj-23798	499	22	,	,	PUNCT
brj-23798	499	23	and	and	CCONJ
brj-23798	499	24	from	from	ADP
brj-23798	499	25	asimina	asimina	NOUN
brj-23798	499	26	to	to	ADP
brj-23798	499	27	ulmuss	ulmuss	ADJ
brj-23798	499	28	are	be	AUX
brj-23798	499	29	ring	ring	NOUN
brj-23798	499	30	-	-	PUNCT
brj-23798	499	31	porous	porous	ADJ
brj-23798	499	32	classes	class	NOUN
brj-23798	499	33	.	.	PUNCT
brj-23798	500	1	counts	count	NOUN
brj-23798	500	2	appearing	appear	VERB
brj-23798	500	3	in	in	ADP
brj-23798	500	4	the	the	DET
brj-23798	500	5	top	top	ADJ
brj-23798	500	6	right	right	NOUN
brj-23798	500	7	and	and	CCONJ
brj-23798	500	8	bottom	bottom	ADJ
brj-23798	500	9	left	left	ADJ
brj-23798	500	10	regions	region	NOUN
brj-23798	500	11	are	be	AUX
brj-23798	500	12	cross	cross	ADJ
brj-23798	500	13	-	-	ADJ
brj-23798	500	14	domain	domain	ADJ
brj-23798	500	15	misclassifications	misclassification	NOUN
brj-23798	500	16	for	for	ADP
brj-23798	500	17	ring	ring	NOUN
brj-23798	500	18	-	-	PUNCT
brj-23798	500	19	porous	porous	ADJ
brj-23798	500	20	and	and	CCONJ
brj-23798	500	21	diffuse	diffuse	ADJ
brj-23798	500	22	-	-	PUNCT
brj-23798	500	23	porous	porous	ADJ
brj-23798	500	24	porosity	porosity	NOUN
brj-23798	500	25	domains	domain	NOUN
brj-23798	500	26	.	.	PUNCT
brj-23798	501	1	one	one	NUM
brj-23798	501	2	specimen	speciman	NOUN
brj-23798	501	3	of	of	ADP
brj-23798	501	4	fruitwood	fruitwood	NOUN
brj-23798	501	5	was	be	AUX
brj-23798	501	6	misclassified	misclassifie	VERB
brj-23798	501	7	as	as	ADP
brj-23798	501	8	a	a	DET
brj-23798	501	9	semi	semi	ADJ
brj-23798	501	10	-	-	ADJ
brj-23798	501	11	ring	ring	ADJ
brj-23798	501	12	-	-	PUNCT
brj-23798	501	13	porous	porous	ADJ
brj-23798	501	14	wood	wood	NOUN
brj-23798	501	15	.	.	PUNCT
brj-23798	502	1	n	n	NOUN
brj-23798	502	2	=	=	SYM
brj-23798	502	3	1010	1010	NUM
brj-23798	502	4	.	.	PUNCT
brj-23798	503	1	peer	peer	NOUN
brj-23798	503	2	-	-	PUNCT
brj-23798	503	3	reviewed	review	VERB
brj-23798	503	4	article	article	NOUN
brj-23798	503	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	503	6	owens	owens	PROPN
brj-23798	503	7	et	et	PROPN
brj-23798	503	8	al	al	PROPN
brj-23798	503	9	.	.	PROPN
brj-23798	504	1	(	(	PUNCT
brj-23798	504	2	2024	2024	NUM
brj-23798	504	3	)	)	PUNCT
brj-23798	504	4	.	.	PUNCT
brj-23798	505	1	“	"	PUNCT
brj-23798	505	2	computer	computer	NOUN
brj-23798	505	3	-	-	PUNCT
brj-23798	505	4	vision	vision	NOUN
brj-23798	505	5	wood	wood	NOUN
brj-23798	505	6	id	id	NOUN
brj-23798	505	7	-	-	ADJ
brj-23798	505	8	ing	ing	ADJ
brj-23798	505	9	,	,	PUNCT
brj-23798	505	10	”	"	PUNCT
brj-23798	505	11	bioresources	bioresource	NOUN
brj-23798	505	12	19(4	19(4	NUM
brj-23798	505	13	)	)	PUNCT
brj-23798	505	14	,	,	PUNCT
brj-23798	505	15	9741	9741	NUM
brj-23798	505	16	-	-	SYM
brj-23798	505	17	9772	9772	NUM
brj-23798	505	18	.	.	PUNCT
brj-23798	506	1	9771	9771	NUM
brj-23798	506	2	fig	fig	NOUN
brj-23798	506	3	.	.	PUNCT
brj-23798	507	1	s5	s5	PROPN
brj-23798	507	2	.	.	PUNCT
brj-23798	508	1	confusion	confusion	NOUN
brj-23798	508	2	matrix	matrix	NOUN
brj-23798	508	3	for	for	ADP
brj-23798	508	4	specimen	speciman	NOUN
brj-23798	508	5	-	-	PUNCT
brj-23798	508	6	level	level	NOUN
brj-23798	508	7	five	five	NUM
brj-23798	508	8	-	-	ADJ
brj-23798	508	9	fold	fold	ADJ
brj-23798	508	10	cross	cross	NOUN
brj-23798	508	11	validation	validation	NOUN
brj-23798	508	12	analysis	analysis	NOUN
brj-23798	508	13	of	of	ADP
brj-23798	508	14	resnet50	resnet50	NOUN
brj-23798	508	15	model	model	NOUN
brj-23798	508	16	for	for	ADP
brj-23798	508	17	39dp	39dp	ADJ
brj-23798	508	18	-	-	PUNCT
brj-23798	508	19	rp	rp	NOUN
brj-23798	508	20	model	model	NOUN
brj-23798	508	21	.	.	PUNCT
brj-23798	509	1	counts	count	NOUN
brj-23798	509	2	in	in	ADP
brj-23798	509	3	the	the	DET
brj-23798	509	4	diagonal	diagonal	ADJ
brj-23798	509	5	cells	cell	NOUN
brj-23798	509	6	indicate	indicate	VERB
brj-23798	509	7	correct	correct	ADJ
brj-23798	509	8	predictions	prediction	NOUN
brj-23798	509	9	.	.	PUNCT
brj-23798	510	1	off	off	ADP
brj-23798	510	2	-	-	PUNCT
brj-23798	510	3	diagonal	diagonal	ADJ
brj-23798	510	4	counts	count	NOUN
brj-23798	510	5	indicate	indicate	VERB
brj-23798	510	6	misclassifications	misclassification	NOUN
brj-23798	510	7	.	.	PUNCT
brj-23798	511	1	the	the	DET
brj-23798	511	2	blue	blue	ADJ
brj-23798	511	3	dotted	dotted	ADJ
brj-23798	511	4	lines	line	NOUN
brj-23798	511	5	delineate	delineate	VERB
brj-23798	511	6	porosity	porosity	NOUN
brj-23798	511	7	domains	domain	NOUN
brj-23798	511	8	.	.	PUNCT
brj-23798	512	1	from	from	ADP
brj-23798	512	2	acerh	acerh	NOUN
brj-23798	512	3	to	to	ADP
brj-23798	512	4	tilia	tilia	PROPN
brj-23798	512	5	are	be	AUX
brj-23798	512	6	diffuse	diffuse	ADJ
brj-23798	512	7	-	-	PUNCT
brj-23798	512	8	porous	porous	ADJ
brj-23798	512	9	classes	class	NOUN
brj-23798	512	10	and	and	CCONJ
brj-23798	512	11	from	from	ADP
brj-23798	512	12	asimina	asimina	NOUN
brj-23798	512	13	to	to	ADP
brj-23798	512	14	ulmuss	ulmuss	ADJ
brj-23798	512	15	are	be	AUX
brj-23798	512	16	ring	ring	NOUN
brj-23798	512	17	-	-	PUNCT
brj-23798	512	18	porous	porous	ADJ
brj-23798	512	19	classes	class	NOUN
brj-23798	512	20	.	.	PUNCT
brj-23798	513	1	counts	count	NOUN
brj-23798	513	2	appearing	appear	VERB
brj-23798	513	3	in	in	ADP
brj-23798	513	4	the	the	DET
brj-23798	513	5	top	top	ADJ
brj-23798	513	6	right	right	NOUN
brj-23798	513	7	and	and	CCONJ
brj-23798	513	8	bottom	bottom	ADJ
brj-23798	513	9	left	left	ADJ
brj-23798	513	10	regions	region	NOUN
brj-23798	513	11	are	be	AUX
brj-23798	513	12	cross	cross	ADJ
brj-23798	513	13	-	-	ADJ
brj-23798	513	14	domain	domain	ADJ
brj-23798	513	15	misclassifications	misclassification	NOUN
brj-23798	513	16	for	for	ADP
brj-23798	513	17	porosity	porosity	NOUN
brj-23798	513	18	.	.	PUNCT
brj-23798	514	1	n	n	NOUN
brj-23798	514	2	=	=	NOUN
brj-23798	514	3	956	956	NUM
brj-23798	514	4	.	.	PUNCT
brj-23798	514	5	peer	peer	NOUN
brj-23798	514	6	-	-	PUNCT
brj-23798	514	7	reviewed	review	VERB
brj-23798	514	8	article	article	NOUN
brj-23798	514	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23798	514	10	owens	owens	PROPN
brj-23798	514	11	et	et	PROPN
brj-23798	514	12	al	al	PROPN
brj-23798	514	13	.	.	PROPN
brj-23798	515	1	(	(	PUNCT
brj-23798	515	2	2024	2024	NUM
brj-23798	515	3	)	)	PUNCT
brj-23798	515	4	.	.	PUNCT
brj-23798	516	1	“	"	PUNCT
brj-23798	516	2	computer	computer	NOUN
brj-23798	516	3	-	-	PUNCT
brj-23798	516	4	vision	vision	NOUN
brj-23798	516	5	wood	wood	NOUN
brj-23798	516	6	id	id	NOUN
brj-23798	516	7	-	-	ADJ
brj-23798	516	8	ing	ing	ADJ
brj-23798	516	9	,	,	PUNCT
brj-23798	516	10	”	"	PUNCT
brj-23798	516	11	bioresources	bioresource	NOUN
brj-23798	516	12	19(4	19(4	NUM
brj-23798	516	13	)	)	PUNCT
brj-23798	516	14	,	,	PUNCT
brj-23798	516	15	9741	9741	NUM
brj-23798	516	16	-	-	SYM
brj-23798	516	17	9772	9772	NUM
brj-23798	516	18	.	.	PUNCT
brj-23798	516	19	9772	9772	NUM
brj-23798	516	20	fig	fig	NOUN
brj-23798	516	21	.	.	PUNCT
brj-23798	517	1	s6	s6	PROPN
brj-23798	517	2	.	.	PUNCT
brj-23798	518	1	confusion	confusion	NOUN
brj-23798	518	2	matrix	matrix	NOUN
brj-23798	518	3	for	for	ADP
brj-23798	518	4	specimen	speciman	NOUN
brj-23798	518	5	-	-	PUNCT
brj-23798	518	6	level	level	NOUN
brj-23798	518	7	five	five	NUM
brj-23798	518	8	-	-	ADJ
brj-23798	518	9	fold	fold	ADJ
brj-23798	518	10	cross	cross	NOUN
brj-23798	518	11	validation	validation	NOUN
brj-23798	518	12	analysis	analysis	NOUN
brj-23798	518	13	of	of	ADP
brj-23798	518	14	resnet50	resnet50	NOUN
brj-23798	518	15	model	model	NOUN
brj-23798	518	16	for	for	ADP
brj-23798	518	17	42dp	42dp	PROPN
brj-23798	518	18	-	-	PUNCT
brj-23798	518	19	rp	rp	NOUN
brj-23798	518	20	-	-	PUNCT
brj-23798	518	21	srp	srp	NOUN
brj-23798	518	22	.	.	PUNCT
brj-23798	519	1	counts	count	NOUN
brj-23798	519	2	in	in	ADP
brj-23798	519	3	the	the	DET
brj-23798	519	4	diagonal	diagonal	ADJ
brj-23798	519	5	cells	cell	NOUN
brj-23798	519	6	indicate	indicate	VERB
brj-23798	519	7	correct	correct	ADJ
brj-23798	519	8	predictions	prediction	NOUN
brj-23798	519	9	.	.	PUNCT
brj-23798	520	1	off	off	ADP
brj-23798	520	2	-	-	PUNCT
brj-23798	520	3	diagonal	diagonal	ADJ
brj-23798	520	4	counts	count	NOUN
brj-23798	520	5	indicate	indicate	VERB
brj-23798	520	6	misclassifications	misclassification	NOUN
brj-23798	520	7	.	.	PUNCT
brj-23798	521	1	the	the	DET
brj-23798	521	2	blue	blue	ADJ
brj-23798	521	3	dotted	dotted	ADJ
brj-23798	521	4	lines	line	NOUN
brj-23798	521	5	delineate	delineate	VERB
brj-23798	521	6	porosity	porosity	NOUN
brj-23798	521	7	domains	domain	NOUN
brj-23798	521	8	.	.	PUNCT
brj-23798	522	1	from	from	ADP
brj-23798	522	2	acerh	acerh	NOUN
brj-23798	522	3	to	to	ADP
brj-23798	522	4	tilia	tilia	PROPN
brj-23798	522	5	are	be	AUX
brj-23798	522	6	diffuse	diffuse	ADJ
brj-23798	522	7	-	-	PUNCT
brj-23798	522	8	porous	porous	ADJ
brj-23798	522	9	classes	class	NOUN
brj-23798	522	10	,	,	PUNCT
brj-23798	522	11	from	from	ADP
brj-23798	522	12	diospyros	diospyro	NOUN
brj-23798	522	13	to	to	ADP
brj-23798	522	14	juglansn	juglansn	PROPN
brj-23798	522	15	are	be	AUX
brj-23798	522	16	semi	semi	ADJ
brj-23798	522	17	-	-	ADJ
brj-23798	522	18	ring	ring	ADJ
brj-23798	522	19	-	-	PUNCT
brj-23798	522	20	porous	porous	ADJ
brj-23798	522	21	classes	class	NOUN
brj-23798	522	22	,	,	PUNCT
brj-23798	522	23	and	and	CCONJ
brj-23798	522	24	from	from	ADP
brj-23798	522	25	asimina	asimina	NOUN
brj-23798	522	26	to	to	ADP
brj-23798	522	27	ulmuss	ulmuss	ADJ
brj-23798	522	28	are	be	AUX
brj-23798	522	29	ring	ring	NOUN
brj-23798	522	30	-	-	PUNCT
brj-23798	522	31	porous	porous	ADJ
brj-23798	522	32	classes	class	NOUN
brj-23798	522	33	.	.	PUNCT
brj-23798	523	1	counts	count	NOUN
brj-23798	523	2	appearing	appear	VERB
brj-23798	523	3	in	in	ADP
brj-23798	523	4	the	the	DET
brj-23798	523	5	top	top	ADJ
brj-23798	523	6	right	right	NOUN
brj-23798	523	7	and	and	CCONJ
brj-23798	523	8	bottom	bottom	ADJ
brj-23798	523	9	left	left	ADJ
brj-23798	523	10	regions	region	NOUN
brj-23798	523	11	are	be	AUX
brj-23798	523	12	cross	cross	ADJ
brj-23798	523	13	-	-	ADJ
brj-23798	523	14	domain	domain	ADJ
brj-23798	523	15	misclassifications	misclassification	NOUN
brj-23798	523	16	for	for	ADP
brj-23798	523	17	ring	ring	NOUN
brj-23798	523	18	-	-	PUNCT
brj-23798	523	19	porous	porous	ADJ
brj-23798	523	20	and	and	CCONJ
brj-23798	523	21	diffuse	diffuse	ADJ
brj-23798	523	22	-	-	PUNCT
brj-23798	523	23	porous	porous	ADJ
brj-23798	523	24	porosity	porosity	NOUN
brj-23798	523	25	domains	domain	NOUN
brj-23798	523	26	.	.	PUNCT
brj-23798	524	1	semi	semi	ADJ
brj-23798	524	2	-	-	ADJ
brj-23798	524	3	ring	ring	ADJ
brj-23798	524	4	-	-	PUNCT
brj-23798	524	5	porous	porous	ADJ
brj-23798	524	6	misclassifications	misclassification	NOUN
brj-23798	524	7	are	be	AUX
brj-23798	524	8	in	in	ADP
brj-23798	524	9	the	the	DET
brj-23798	524	10	non	non	ADJ
brj-23798	524	11	-	-	ADJ
brj-23798	524	12	diagonal	diagonal	ADJ
brj-23798	524	13	nearly	nearly	ADV
brj-23798	524	14	central	central	ADJ
brj-23798	524	15	spaces	space	NOUN
brj-23798	524	16	between	between	ADP
brj-23798	524	17	the	the	DET
brj-23798	524	18	dashed	dash	VERB
brj-23798	524	19	blue	blue	ADJ
brj-23798	524	20	lines	line	NOUN
brj-23798	524	21	.	.	PUNCT
brj-23798	525	1	n	n	NOUN
brj-23798	525	2	=	=	SYM
brj-23798	525	3	1010	1010	NUM
brj-23798	525	4	.	.	PUNCT