{"id":"W2339442583","doi":"","title":"Comment on R v K(A): Carding, Racial Profiling and Police Perjury","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Windsor","funders":"","keywords":"Carding; Racial profiling; Officer; Law; Political science; Profiling (computer programming); Criminology; Engineering; Psychology; Sociology; Race (biology); Computer science","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":[0.004108819,0.001006367,0.001594024,0.00103738,0.01291823,0.004739627,0.006588386,0.0782847,0.01088536],"category_scores_gemma":[0.01989014,0.001145622,0.001702429,0.001560359,0.006010272,0.003713671,0.002648356,0.04670622,0.007934232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008668615,"about_ca_system_score_gemma":0.01561159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2228513,"about_ca_topic_score_gemma":0.2874557,"domain_scores_codex":[0.9966996,0.0005946796,0.0003857756,0.0007958299,0.0007094924,0.0008146151],"domain_scores_gemma":[0.9900926,0.006314988,0.0005989168,0.0003919355,0.001547134,0.00105444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000678259,0.00002210729,0.001019168,0.0000719269,0.00001733015,0.001168393,0.001827861,0.00008666894,0.0002647571,0.008391107,0.98462,0.002442817],"study_design_scores_gemma":[0.0001449414,0.0001540586,0.0118125,0.0008756107,0.0001301247,0.001310319,0.01189837,0.0007836643,0.00132078,0.01796679,0.9532589,0.0003438865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002849321,0.0005952355,0.0001988429,0.97471,0.009659711,0.00005166347,0.0004247442,0.0001181189,0.01139227],"genre_scores_gemma":[0.008332127,0.0003257462,0.0001315171,0.9791204,0.003446079,0.00006810329,0.00004322337,0.00003326108,0.008499563],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7771487,"threshold_uncertainty_score":0.4431083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571827254636617,"score_gpt":0.3528283777889494,"score_spread":0.3271101052425833,"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."}}