{"id":"W1880409976","doi":"10.1177/1057567715586833","title":"Structural Determinants of Municipal Police Force Size in Large Cities Across Canada","year":2015,"lang":"en","type":"article","venue":"International Criminal Justice Review","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ethnic group; Metropolitan area; Demographic economics; Criminology; Population size; Population; Geography; Empirical research; Political science; Economic geography; Demography; Sociology; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153217,0.0003064802,0.0004163514,0.003106138,0.003407151,0.002252761,0.001470134,0.0003475492,0.002552973],"category_scores_gemma":[0.006799879,0.0003185527,0.0004492045,0.007198486,0.001386401,0.0005776852,0.00193711,0.0006441348,0.0001741241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04774526,"about_ca_system_score_gemma":0.05908641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917161,"about_ca_topic_score_gemma":0.9971908,"domain_scores_codex":[0.9983725,0.0002112631,0.00007369438,0.0002090473,0.0004612158,0.0006723693],"domain_scores_gemma":[0.993466,0.00059469,0.001548645,0.000247466,0.002568146,0.001575146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007720318,0.00006571441,0.9746572,0.00007244189,0.0001183757,0.0001344174,0.003621217,0.001081129,0.0002308352,0.002595273,0.002458983,0.01488722],"study_design_scores_gemma":[0.000004198941,0.000009866922,0.993174,0.00003903244,0.00001963032,0.00001522714,0.004596517,0.0003215972,0.00004502995,0.0001000794,0.001664878,0.000009913319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929783,0.00116798,0.0001803431,0.0009272329,0.00001217706,0.00004090499,0.001097374,0.00001253629,0.003583155],"genre_scores_gemma":[0.9977448,0.0007334011,0.0001320041,0.00003207234,0.000003913472,0.00001588453,0.0004752165,0.000003989448,0.0008586913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04774526,"threshold_uncertainty_score":0.3464177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277114079766885,"score_gpt":0.4563218203239887,"score_spread":0.3286104123473002,"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."}}