{"id":"W7160654328","doi":"10.1109/icscss64956.2025.11501145","title":"Next-Gen Access Control with AI-Powered Behavioral Defense","year":2025,"lang":"","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Control (management); Access control; Key (lock); Action (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004299888,0.0004318974,0.0004060529,0.0006595646,0.0008686181,0.002761557,0.0008529103,0.0008022945,0.01204601],"category_scores_gemma":[0.01529261,0.0002506717,0.0005446876,0.0004767842,0.002479299,0.002995506,0.002622537,0.0017889,0.0008258164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493255,"about_ca_system_score_gemma":0.002088734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003606583,"about_ca_topic_score_gemma":0.004087336,"domain_scores_codex":[0.9973459,0.001252927,0.00008643416,0.0004121778,0.0005220741,0.0003805585],"domain_scores_gemma":[0.9897183,0.004311655,0.001095345,0.00294525,0.001175682,0.0007537443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005470266,0.0006259009,0.02552218,0.0001356066,0.0001730109,0.0002281582,0.002224866,0.01709793,0.008523799,0.827021,0.004078212,0.1138224],"study_design_scores_gemma":[0.0001366637,0.0006779713,0.01340657,0.00008173041,0.000138974,0.0006175201,0.001773227,0.3230596,0.01033858,0.6327696,0.0168979,0.0001017287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2666347,0.0002919803,0.581484,0.002899026,0.0002252429,0.0002776626,0.0002604323,0.001175481,0.1467516],"genre_scores_gemma":[0.9745996,0.00003204736,0.01854544,0.0001128219,0.00001904093,0.00005539971,0.00003211289,0.00002517226,0.006578415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01204601,"threshold_uncertainty_score":0.04029793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010898928701566,"score_gpt":0.3530630115100842,"score_spread":0.3229540222230686,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}