{"id":"W2120224143","doi":"10.3138/cjccj.53.1.87","title":"Racial Profiling: The Parisian Police Experience","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racial profiling; Criminology; Profiling (computer programming); Psychology; Computer security; Sociology; Race (biology); Computer science; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003014253,0.0005487928,0.0004622597,0.002892543,0.01688751,0.006626818,0.0007677206,0.002002288,0.01195153],"category_scores_gemma":[0.007600152,0.000383317,0.0002103042,0.004739868,0.005465735,0.003256583,0.004640231,0.002566466,0.000921629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009559228,"about_ca_system_score_gemma":0.006279723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2212249,"about_ca_topic_score_gemma":0.2654216,"domain_scores_codex":[0.9967854,0.001484617,0.00006099225,0.0001846684,0.0003331911,0.001151117],"domain_scores_gemma":[0.9968022,0.0007909496,0.0006250634,0.00009857772,0.0004835208,0.001199655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007932454,0.00005505834,0.02865234,0.00007637608,0.00001854944,0.003302352,0.9077362,0.0001030721,0.0004202515,0.01322827,0.02212996,0.02419831],"study_design_scores_gemma":[0.000006850047,0.000088335,0.07018802,0.0001514699,0.0000101965,0.001204378,0.7858927,0.00006657208,0.0001239508,0.0005346633,0.1417006,0.00003221472],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936966,0.003827797,0.0003034321,0.04205755,0.0006367338,0.0000431242,0.0003601449,0.00004626718,0.05902832],"genre_scores_gemma":[0.9761686,0.002380779,0.00008439256,0.003070851,0.0003447146,0.00002316017,0.00008784254,0.00004006065,0.01779967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2212249,"threshold_uncertainty_score":0.4398745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2433974114423069,"score_gpt":0.3821862165389697,"score_spread":0.1387888050966628,"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."}}