{"id":"W7010350239","doi":"","title":"Hiring Algorithms in the Canadian Private Sector: Examining the Promise of\\tGreater Workplace Equality","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Job evaluation; Personnel selection; Job loss; Key (lock); Equal employment opportunity","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":[0.02097899,0.0002374315,0.0004981742,0.002115267,0.01629693,0.007378174,0.002803086,0.002356454,0.004123651],"category_scores_gemma":[0.07627974,0.000316334,0.0003501115,0.005553276,0.009248908,0.002797901,0.003099323,0.002428133,0.0003099697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09548096,"about_ca_system_score_gemma":0.1250081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775726,"about_ca_topic_score_gemma":0.9877395,"domain_scores_codex":[0.9847758,0.005543702,0.0004103305,0.0008379055,0.005029682,0.003402577],"domain_scores_gemma":[0.9679444,0.01488495,0.003469512,0.001812888,0.009079962,0.002808271],"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":[0.0003705589,0.0004857272,0.1742194,0.0002751469,0.00005750333,0.000418618,0.05743657,0.004223772,0.0005997868,0.4370691,0.02667807,0.2981658],"study_design_scores_gemma":[0.0002766293,0.0004898607,0.4753093,0.0007686935,0.0001768892,0.0002934074,0.1648975,0.03515564,0.002059584,0.09304272,0.2272248,0.0003050379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7895208,0.00257563,0.006206325,0.04508838,0.0002131429,0.000255654,0.0003262751,0.0000469079,0.1557669],"genre_scores_gemma":[0.9872706,0.0009855212,0.002705437,0.001514758,0.00003808445,0.00003539517,0.00005887496,0.0000159278,0.007375365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09548096,"threshold_uncertainty_score":0.6927661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06085036033514326,"score_gpt":0.3311175708131527,"score_spread":0.2702672104780094,"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."}}