{"id":"W7137701905","doi":"","title":"Violent Extremism","year":2023,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université du Québec à Montréal; Massachusetts General Hospital; Bureau of Justice Assistance; Office of the Director of National Intelligence; U.S. Department of Defense","keywords":"Violent extremism; Harm; Criminal justice; Law enforcement; Praise; Mental health; Punitive damages; Economic Justice; Enforcement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008899175,0.0006739801,0.000527788,0.001096102,0.005622622,0.006584686,0.001229385,0.002823351,0.0546014],"category_scores_gemma":[0.004179941,0.0003716589,0.000807232,0.0007319684,0.005416833,0.004504529,0.005489897,0.005662077,0.0145331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003295057,"about_ca_system_score_gemma":0.002599878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243205,"about_ca_topic_score_gemma":0.01087543,"domain_scores_codex":[0.9980739,0.0006826896,0.00007309804,0.0002674851,0.0004898141,0.0004130075],"domain_scores_gemma":[0.9990741,0.0002307439,0.000144236,0.00009526468,0.0001911214,0.0002644955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003254157,0.00003167167,0.0007437039,0.0002120013,0.00001582784,0.0004773049,0.00602443,0.0001818596,0.0001237971,0.2790997,0.6413444,0.07171272],"study_design_scores_gemma":[0.000003467432,0.00001478488,0.0004884839,0.0003526026,0.000004281826,0.0006648948,0.002261234,0.00004823182,0.00005824335,0.01783731,0.9782565,0.000009944526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006016343,0.02422434,0.003800108,0.03687489,0.01359491,0.0001011802,0.0004307822,0.0002629158,0.9146945],"genre_scores_gemma":[0.1621947,0.03178721,0.004160848,0.03697173,0.007502515,0.000194047,0.001185862,0.0005367359,0.7554663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0546014,"threshold_uncertainty_score":0.1826599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424409344442787,"score_gpt":0.4458135727199099,"score_spread":0.3033726382756312,"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."}}