{"id":"W1992222449","doi":"10.3138/cjccj.48.4.573","title":"Tracking High-Risk, Violent Offenders: An Examination of the National Flagging System","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Safety Canada","funders":"","keywords":"Criminal justice; Flagging; Recidivism; Psychology; Population; Criminology; Risk assessment; Sex offender; Psychiatry; Computer security; Medicine; Environmental health; Geography","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":[0.003732305,0.000141847,0.0002658549,0.002297383,0.002882876,0.001147027,0.001333218,0.0003665618,0.0008091535],"category_scores_gemma":[0.01390645,0.0001564012,0.0002463075,0.002379335,0.001084017,0.0006351568,0.001028615,0.000435091,0.00009035342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01393755,"about_ca_system_score_gemma":0.02815215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9416265,"about_ca_topic_score_gemma":0.9738153,"domain_scores_codex":[0.9975342,0.0003497456,0.00009543332,0.0001672962,0.00123053,0.0006227677],"domain_scores_gemma":[0.9909661,0.0007958315,0.001678134,0.00031086,0.004886724,0.001362286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005793195,0.00004403558,0.9739173,0.00002850704,0.00001373673,0.00005454449,0.001296541,0.000185243,0.0001456831,0.0002323773,0.0005531198,0.02347109],"study_design_scores_gemma":[0.000001330354,0.00004265455,0.9968868,0.00002182876,0.000008444638,0.00004008029,0.001815898,0.0003285774,0.00006124117,0.00002413791,0.0007626681,0.000006270982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951822,0.0002375929,0.0002301855,0.0004039634,0.00001206403,0.00006633117,0.0003426432,0.00001024407,0.003514741],"genre_scores_gemma":[0.9986426,0.0001952595,0.0004108881,0.00006286633,0.000002557773,0.00001102833,0.0002329085,0.000002427691,0.0004395598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05837345,"threshold_uncertainty_score":0.1174344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09165721465930332,"score_gpt":0.3103536946154963,"score_spread":0.218696479956193,"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."}}