{"id":"W2807847431","doi":"10.3138/utlj.2018-0012","title":"The migration and evolution of programs to counter violent extremism","year":2018,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Violent extremism; Political science; China; Accountability; State (computer science); Criminology; Focus (optics); Political economy; Terrorism; Law; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006519972,0.0002474458,0.0001447775,0.002395767,0.001888742,0.003055505,0.001484597,0.001227507,0.004030333],"category_scores_gemma":[0.01031097,0.0002162337,0.0003275525,0.001165385,0.003082759,0.001754378,0.002342461,0.001511488,0.0004025909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008541859,"about_ca_system_score_gemma":0.01003114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995033,"about_ca_topic_score_gemma":0.03023183,"domain_scores_codex":[0.9961802,0.002189283,0.00008715692,0.0003067435,0.0005077198,0.0007290135],"domain_scores_gemma":[0.992505,0.002247301,0.001002048,0.0006179414,0.001719179,0.00190873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000351472,0.002364139,0.0262202,0.0004390072,0.0000594936,0.0002044358,0.007352626,0.005126874,0.001695947,0.24392,0.0135891,0.6986768],"study_design_scores_gemma":[0.0005736892,0.006880044,0.3241553,0.002216058,0.0001615272,0.0006977055,0.03933368,0.01825188,0.005987884,0.08196119,0.5196187,0.0001624026],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5808583,0.005997163,0.01973331,0.06520159,0.0008620407,0.001014026,0.0002286174,0.0004127975,0.3256922],"genre_scores_gemma":[0.9692293,0.001730989,0.01184911,0.003371295,0.00008337415,0.0002711171,0.0001073975,0.00004975238,0.01330762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9800497,"threshold_uncertainty_score":0.06197578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113711688348157,"score_gpt":0.2528563701314315,"score_spread":0.2414852012966158,"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."}}