{"id":"W170494750","doi":"10.7202/029258ar","title":"Race and Sex Discrimination in Employment in Canada. Theories, Evidence and Policies","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Employment discrimination; Sex discrimination; Demographic economics; Public policy; Sociology; Political science; Gender studies; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004133986,0.000357751,0.0003969602,0.004329685,0.01365168,0.00602568,0.002086787,0.00352824,0.0045058],"category_scores_gemma":[0.01382198,0.0004097973,0.0006383768,0.005942452,0.01100436,0.001772006,0.002018675,0.003017873,0.0002007106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09427027,"about_ca_system_score_gemma":0.2138539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995187,"about_ca_topic_score_gemma":0.9966705,"domain_scores_codex":[0.9952481,0.0005742943,0.0001217535,0.0002292779,0.002072587,0.001754044],"domain_scores_gemma":[0.9893218,0.004232707,0.001379702,0.0002148099,0.00323449,0.001616468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001411791,0.0002917134,0.2325446,0.0009472369,0.0001121056,0.0006380582,0.01351755,0.002733983,0.0002436571,0.5220089,0.0828426,0.1439783],"study_design_scores_gemma":[0.000141796,0.0001113051,0.6217751,0.004618842,0.0005247836,0.0003428622,0.05771549,0.004724683,0.0008177787,0.08557338,0.2234433,0.0002107664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3391235,0.1006964,0.000657197,0.3498107,0.0009661893,0.0001337624,0.002038911,0.00005026078,0.2065232],"genre_scores_gemma":[0.9196872,0.04105858,0.0005168612,0.02247103,0.0003603929,0.00005720692,0.0003467382,0.00001237864,0.01548962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09427027,"threshold_uncertainty_score":0.6839819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05913762561631433,"score_gpt":0.3310409050519312,"score_spread":0.2719032794356169,"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."}}