{"id":"W3110664512","doi":"10.1177/1057567720979184","title":"A Meta-Analysis of Police Response Models for Handling People With Mental Illnesses: Cross-Country Evidence on the Effectiveness","year":2020,"lang":"en","type":"article","venue":"International Criminal Justice Review","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Criminal justice; Mental health; Context (archaeology); Psychology; Intervention (counseling); Systematic review; Empirical research; Medicine; Psychiatry; Criminology; MEDLINE; Political science; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002552378,0.0003231884,0.001097927,0.000176932,0.0001467867,0.00006850775,0.0008257463,0.00006212452,0.0004891878],"category_scores_gemma":[0.001123554,0.0002050555,0.0007616206,0.0008852059,0.0001343357,0.0002674918,0.00007227053,0.0002185018,0.00003451415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009959135,"about_ca_system_score_gemma":0.00008484173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002539862,"about_ca_topic_score_gemma":0.00006700623,"domain_scores_codex":[0.9969462,0.0007649582,0.0006694136,0.0006275413,0.0007061626,0.0002857776],"domain_scores_gemma":[0.9915634,0.00680409,0.0005498785,0.0005012547,0.0004679095,0.0001134846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.1291277,0.002083438,0.0009274218,0.03897436,0.4906101,0.00008281137,0.06048077,0.01659834,0.00287347,0.2073369,0.04757676,0.003327906],"study_design_scores_gemma":[0.001915731,0.002560907,0.005867502,0.005263628,0.9557523,0.0001330515,0.009336094,0.008527794,0.0004500593,0.0003099541,0.008803361,0.001079692],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5718592,0.2191735,0.1110748,0.02875812,0.04761626,0.009120048,0.002974847,0.0002601508,0.009163151],"genre_scores_gemma":[0.9898275,0.001292653,0.0003962344,0.007281558,0.0004034975,0.0006415767,0.00003874166,0.00004361017,0.00007463816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4651421,"threshold_uncertainty_score":0.836192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2605429780280077,"score_gpt":0.4480275230619076,"score_spread":0.1874845450338999,"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."}}