{"id":"W2290337742","doi":"10.29173/alr1313","title":"E-Racing Racial Profiling","year":2004,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Racial profiling; Profiling (computer programming); Charter; Reasonable suspicion; Legislation; Political science; Supreme court; Law; Criminology; Sociology; Computer science; Race (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002566981,0.0001224391,0.0002036591,0.00002042373,0.0001659644,0.00008341232,0.0004133128,0.00004025386,0.00002346564],"category_scores_gemma":[0.00008759851,0.0001048875,0.0001002293,0.0003334282,0.0000218283,0.0004409306,0.00009211852,0.000126662,0.0007866824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004033168,"about_ca_system_score_gemma":0.00005407018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009510882,"about_ca_topic_score_gemma":0.0004350086,"domain_scores_codex":[0.998984,0.00004239172,0.0002406078,0.0003045547,0.0001780362,0.0002504247],"domain_scores_gemma":[0.999293,0.00004247631,0.00007822889,0.0004582652,0.00004244187,0.00008554693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001085567,0.00002774799,0.000009156354,0.0004966109,0.00001221098,0.00001513334,0.0001047451,0.00001994178,0.0004465758,0.940797,0.00009399377,0.05797582],"study_design_scores_gemma":[0.0006381689,0.0001568451,0.00003023134,0.005927878,0.0000610214,0.0002718121,0.00000345695,0.0002775205,0.03277849,0.01365285,0.9454968,0.0007049555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01677225,0.1668366,0.3635913,0.02629147,0.004242097,0.003700573,0.000001945065,0.001322669,0.4172411],"genre_scores_gemma":[0.8320581,0.02085541,0.115198,0.0289585,0.000716736,0.0002143246,0.00001736409,0.00006868065,0.001912921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9454028,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166913195435741,"score_gpt":0.2512083401308324,"score_spread":0.239539208176475,"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."}}