{"id":"W2578643190","doi":"10.3138/utlj.3883","title":"Against racial profiling","year":2017,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Free Will and Agency","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suspect; Racial profiling; Inference; Officer; Profiling (computer programming); Psychology; Criminology; Presupposition; Exclusionary rule; Social psychology; Race (biology); Political science; Epistemology; Law; Computer science; Sociology; Artificial intelligence","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":[0.03878057,0.0007614082,0.001109898,0.001598358,0.01612934,0.008551766,0.002140503,0.01520953,0.006590661],"category_scores_gemma":[0.06122455,0.000699039,0.0007488992,0.001315878,0.04163708,0.008537749,0.009354529,0.02134735,0.001791398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009416058,"about_ca_system_score_gemma":0.01314555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1035837,"about_ca_topic_score_gemma":0.1063774,"domain_scores_codex":[0.9692165,0.0155044,0.0007765956,0.003947089,0.007411793,0.003143786],"domain_scores_gemma":[0.9579346,0.02160234,0.003728093,0.005694147,0.007568077,0.003472785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003199413,0.00001090384,0.001749639,0.00005813756,0.0000135403,0.0001145144,0.01314384,0.0001204691,0.0001106993,0.9133546,0.04802439,0.02326726],"study_design_scores_gemma":[0.00005807201,0.00005302879,0.004773554,0.00123255,0.00008255163,0.0005254524,0.01018513,0.0009457484,0.0008842271,0.3138725,0.6672865,0.0001006244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02537902,0.008027665,0.0121071,0.55436,0.003650656,0.0001093967,0.0001459888,0.0001325252,0.3960877],"genre_scores_gemma":[0.6322272,0.00569722,0.006790001,0.2903386,0.004045293,0.0002567513,0.0001058982,0.0002428729,0.06029616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1035837,"threshold_uncertainty_score":0.2059615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267164263348727,"score_gpt":0.2361109761850489,"score_spread":0.2093945498501762,"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."}}