{"id":"W4318952056","doi":"10.21810/jicw.v5i3.5191","title":"EN(COUNTERING) TERRORISM","year":2023,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Middle East; Political science; State (computer science); Criminology; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00343947,0.0006350097,0.0003175161,0.001027686,0.0015293,0.003063693,0.0004171501,0.001582238,0.01807163],"category_scores_gemma":[0.006830408,0.0001317888,0.0002760447,0.0004000922,0.001169408,0.001332464,0.002756541,0.00205894,0.004953785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009915394,"about_ca_system_score_gemma":0.00241912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671724,"about_ca_topic_score_gemma":0.005885369,"domain_scores_codex":[0.9971356,0.001294966,0.0001235554,0.0001660981,0.0007573493,0.0005225154],"domain_scores_gemma":[0.9972651,0.0006294486,0.0003718181,0.0003103346,0.0008943859,0.0005288469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001474836,0.0001603858,0.00793452,0.0006306038,0.00006973956,0.0003512921,0.002244909,0.0003625085,0.001771425,0.08534718,0.3792675,0.5217124],"study_design_scores_gemma":[0.000009579679,0.00008277127,0.00333204,0.000276977,0.00001206406,0.0003050774,0.001020715,0.0001081029,0.0008335472,0.005194271,0.9888171,0.000007878631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02790643,0.03335925,0.006518939,0.1290395,0.02331451,0.0002004089,0.0002831873,0.0004556687,0.778922],"genre_scores_gemma":[0.4838164,0.03911151,0.01277179,0.09381672,0.01323036,0.0002156479,0.0008960724,0.0001872821,0.3559541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01807163,"threshold_uncertainty_score":0.06045562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04766796999328098,"score_gpt":0.3591542004617407,"score_spread":0.3114862304684597,"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."}}