id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
american_scientific_journal-11728	Kelech P. Okpara	Human-Centric Machine Learning Intrusion Detection for Smart Grid SCADA Systems, Grounded in Human-Systems Integration Theory	2025	17	.pdf	application/pdf	7822	363	29	A pervasive issue is the high False Positive Rate (FPR) generated by many ML models, leading to an overwhelming number of alerts for human operators to process [4]. Therefore, in complex operational technology (OT) environments, the interaction between human operators and security systems significantly influences the overall success or failure of security measures.	cache/american_scientific_journal-11728.pdf	txt/american_scientific_journal-11728.txt