{"id":"W3014409616","doi":"10.2139/ssrn.3490785","title":"Who Watches the Watchmen: Evidence of the Effect of Body-Worn Cameras on New York City Policing","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Art; Advertising; Visual arts; Psychology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004434648,0.0001151111,0.0002209702,0.00004093826,0.0005895707,0.00005064486,0.0006754866,0.00007349063,0.0001041937],"category_scores_gemma":[0.0002770014,0.00005967196,0.00021019,0.0003401751,0.0001840587,0.0002142291,0.0000452013,0.001326084,0.00002311294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421784,"about_ca_system_score_gemma":0.001860814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1456132,"about_ca_topic_score_gemma":0.05515219,"domain_scores_codex":[0.9972376,0.0007958761,0.0002494441,0.0001214319,0.0005264163,0.001069203],"domain_scores_gemma":[0.998062,0.001153036,0.0003857393,0.0002818083,0.0000470305,0.00007044485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009489328,0.0001212711,0.6086473,0.00008127373,0.0006570522,3.728102e-7,0.1721328,0.001106704,0.01592228,0.146875,0.005079421,0.0484276],"study_design_scores_gemma":[0.005113115,0.01498632,0.6267999,0.005943566,0.001667482,0.0002554056,0.1104959,0.0003350438,0.0268982,0.1454167,0.06023429,0.001854075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835361,0.0004725604,0.00003260728,0.01047397,0.000244737,0.0002405964,8.821095e-7,0.000008917935,0.004989648],"genre_scores_gemma":[0.9914255,0.001803973,0.000004391427,0.0002128005,0.0005132448,0.000001441777,8.712936e-8,0.000008964118,0.006029563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09046097,"threshold_uncertainty_score":0.9620888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884962421740173,"score_gpt":0.3420274500813021,"score_spread":0.3131778258639004,"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."}}