{"id":"W2288180810","doi":"","title":"Protecting Equality in the Face of Terror: Ethnic and Racial Profiling and the Charter","year":2001,"lang":"en","type":"article","venue":"Berkley Law Scholarship Repository (University of California, Berkeley)","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charter; Profiling (computer programming); Racial profiling; Ethnic group; Political science; Criminology; Face (sociological concept); Computer security; Sociology; Law; Computer science; Race (biology); Gender studies; Social science","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":[0.006743383,0.0002633347,0.0003816658,0.001002552,0.01957714,0.01377499,0.001052265,0.003571093,0.003271929],"category_scores_gemma":[0.006834774,0.0001998676,0.0002164336,0.001294672,0.05237221,0.007484718,0.005787974,0.006509026,0.0003403417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01730143,"about_ca_system_score_gemma":0.03958413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3451329,"about_ca_topic_score_gemma":0.5438125,"domain_scores_codex":[0.9939538,0.001902107,0.00008310306,0.0002710801,0.001644282,0.002145776],"domain_scores_gemma":[0.9985027,0.0006534715,0.0001484803,0.0001340478,0.0002741498,0.0002872443],"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":[0.000004870662,0.000004761519,0.0001628677,0.000008855838,8.898892e-7,0.00003398227,0.009584435,0.00006238677,0.00004765319,0.9770234,0.005923629,0.007142222],"study_design_scores_gemma":[0.00001446015,0.00003042813,0.003133238,0.0003987462,0.00001424479,0.0001011571,0.04146316,0.0002984587,0.000476897,0.5598512,0.3941713,0.00004670332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04501922,0.009084158,0.005896324,0.1415603,0.001067085,0.00006821933,0.00006491482,0.00003529189,0.7972046],"genre_scores_gemma":[0.9278738,0.005390141,0.002587805,0.01976742,0.0004728548,0.00007371687,0.00003670712,0.00003885566,0.04375881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3451329,"threshold_uncertainty_score":0.6862479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482487780636943,"score_gpt":0.2821089581291785,"score_spread":0.247284080322809,"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."}}