{"id":"W4388493717","doi":"10.1007/978-3-031-42406-9_13","title":"How to Fight Crime by Improving Police Services: Evidence from the French Quarter Task Force","year":2023,"lang":"en","type":"book-chapter","venue":"Competitive government","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economic shortage; Police department; Task force; Criminology; Political science; Engineering; Business; Public administration; Geography; Psychology; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005313155,0.0005782251,0.0005037016,0.00204654,0.002127529,0.002232903,0.001129831,0.001546828,0.007208051],"category_scores_gemma":[0.01212079,0.000249465,0.0006714861,0.003775862,0.001104819,0.0008717709,0.0009401494,0.0009335392,0.0007436178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008997828,"about_ca_system_score_gemma":0.01479037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5562955,"about_ca_topic_score_gemma":0.7289581,"domain_scores_codex":[0.9955449,0.002897848,0.0001227405,0.0001435023,0.0006687396,0.0006222487],"domain_scores_gemma":[0.9928462,0.004528649,0.0007741113,0.0002340707,0.001113791,0.0005032262],"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":[0.001371621,0.002022177,0.1524311,0.002494884,0.0008509274,0.0001885974,0.007424328,0.002130047,0.0001528911,0.01854511,0.3227383,0.48965],"study_design_scores_gemma":[0.0005684719,0.001399142,0.7972197,0.00564104,0.001259828,0.0002363415,0.03182184,0.0009173364,0.0005234722,0.00649333,0.1538113,0.0001081749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5341032,0.1702962,0.000847875,0.1016397,0.001218967,0.0004176088,0.01712469,0.00006289755,0.174289],"genre_scores_gemma":[0.87332,0.08146414,0.001426507,0.01254304,0.0004176683,0.0005586153,0.00593996,0.0000454755,0.02428461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5562955,"threshold_uncertainty_score":0.8926352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432839613953189,"score_gpt":0.2859755674069098,"score_spread":0.251647171267378,"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."}}