{"id":"W7116885113","doi":"10.1080/15614263.2025.2605452","title":"Credence for clearance rates: modeling police clearance rates in Canadian municipalities","year":2025,"lang":"en","type":"article","venue":"Police Practice and Research","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Wilfrid Laurier University; Dalhousie University","funders":"","keywords":"Credence; Clearance rate; Credence good; Clearance","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":[0.005853011,0.0009863009,0.001019982,0.002932455,0.003350994,0.00347512,0.004167301,0.001759015,0.004440603],"category_scores_gemma":[0.01793275,0.0008786194,0.0019466,0.003714306,0.001757653,0.001155446,0.001673591,0.002312077,0.0006564658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05232495,"about_ca_system_score_gemma":0.04050451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960809,"about_ca_topic_score_gemma":0.9935973,"domain_scores_codex":[0.9975724,0.0005764229,0.0000909685,0.000483965,0.0003113665,0.0009649701],"domain_scores_gemma":[0.990419,0.003364403,0.001146665,0.0005108401,0.003408704,0.001150361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003062793,0.000289266,0.5260898,0.0001085379,0.0003063445,0.0002853474,0.001463505,0.4408517,0.0002796858,0.007636569,0.008598018,0.01378504],"study_design_scores_gemma":[0.0000863003,0.00008258671,0.2173742,0.0001034343,0.0001877632,0.00005134933,0.00265295,0.7700469,0.0002084346,0.001606213,0.007475871,0.0001239466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982187,0.0006106892,0.003203208,0.001831806,0.00004463138,0.0001347367,0.006678711,0.0001408092,0.00516841],"genre_scores_gemma":[0.9900314,0.000306933,0.002294189,0.0001109148,0.00001386047,0.00005892361,0.003503565,0.00003311354,0.003647144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05232495,"threshold_uncertainty_score":0.3796459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2331676389268943,"score_gpt":0.5559294053381206,"score_spread":0.3227617664112263,"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."}}