{"id":"W2900339481","doi":"10.1177/0093854818808830","title":"Reducing Violence Risk? Some Positive Recidivism Outcomes for Canadian Treated High-Risk Offenders","year":2018,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université de Montréal","funders":"","keywords":"Recidivism; Indigenous; Poison control; Injury prevention; Suicide prevention; Human factors and ergonomics; Psychology; Ethnic group; Occupational safety and health; Demography; Clinical psychology; Medicine; Medical emergency; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003850642,0.0004305069,0.000442332,0.0003644143,0.0008950135,0.00008264495,0.0003010874,0.0002800412,0.0001587683],"category_scores_gemma":[0.000172192,0.000404501,0.0001321161,0.0001948145,0.0004165288,0.0002226997,0.00004009207,0.0003941495,0.0001604317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767689,"about_ca_system_score_gemma":0.0001124794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1609859,"about_ca_topic_score_gemma":0.01863093,"domain_scores_codex":[0.9973333,0.0001675374,0.000450053,0.0008857959,0.0002012836,0.0009620285],"domain_scores_gemma":[0.9980945,0.0003126066,0.0003065813,0.0005456537,0.0001849408,0.0005557351],"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":[0.001967736,0.00162733,0.2448428,0.0005519305,0.0007632197,0.0005078971,0.04064949,0.000002921011,0.002732255,0.009669691,0.0964774,0.6002073],"study_design_scores_gemma":[0.002392243,0.00202669,0.9516867,0.0002139847,0.01871385,0.0001179583,0.02236839,0.00002830359,0.0007117227,0.0005346251,0.0004041458,0.0008013441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575686,0.0003541029,0.0002254349,0.0001960603,0.03934113,0.0007239094,0.0007470536,0.00009786555,0.0007458169],"genre_scores_gemma":[0.994927,0.00008551306,0.001448372,0.0006907296,0.00208515,0.000173161,0.00007818182,0.00007632671,0.0004355318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7068439,"threshold_uncertainty_score":0.9998407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277060490658656,"score_gpt":0.3333807209135886,"score_spread":0.290610116007002,"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."}}