{"id":"W3124970054","doi":"","title":"Occupational Gender Segregation and Women's Wages in Canada: An Historical Perspective","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Occupational segregation; Portrait; Humanities; Wage; Ethnology; Political science; Sociology; Demographic economics; Geography; Art; Economics; Law","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":[0.0009461598,0.0002931584,0.0004188422,0.005612862,0.01293945,0.004620808,0.0008778851,0.0009880884,0.006671914],"category_scores_gemma":[0.002730652,0.0002688202,0.000280031,0.01149269,0.004894304,0.00112058,0.001582474,0.001190978,0.0002285252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1119694,"about_ca_system_score_gemma":0.08697539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963431,"about_ca_topic_score_gemma":0.9980596,"domain_scores_codex":[0.9984586,0.00009789084,0.00003452104,0.0001471958,0.0004326196,0.0008291073],"domain_scores_gemma":[0.9983169,0.0002465796,0.0002036772,0.00004142509,0.0008080125,0.000383419],"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":[0.0003052924,0.0001088487,0.2798464,0.0005002015,0.0000802467,0.002233885,0.1402005,0.002369049,0.00108322,0.3269348,0.03066295,0.2156746],"study_design_scores_gemma":[0.00001178829,0.00004623443,0.5195423,0.0006609605,0.00005325785,0.0004270393,0.05566918,0.0009021676,0.0005595948,0.006519255,0.4154955,0.0001126362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7713605,0.04671337,0.0009934464,0.02253218,0.0003493798,0.00006100123,0.003513705,0.00004421914,0.1544322],"genre_scores_gemma":[0.9501855,0.01837549,0.0003778055,0.0007990291,0.00008271744,0.0000164348,0.0004248963,0.00002699959,0.02971103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1119694,"threshold_uncertainty_score":0.8123989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564996208702381,"score_gpt":0.3370550072904692,"score_spread":0.2814050452034454,"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."}}