{"id":"W2093034587","doi":"10.1111/j.1755-618x.2001.tb00604.x","title":"Gendered Inequalities in Earnings: A Study of Canadian Lawyers*","year":2001,"lang":"fr","type":"article","venue":"Canadian Review of Sociology/Revue canadienne de sociologie","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Earnings; Human capital theory; Human capital; Political science; Disadvantaged; Humanities; Sociology; Economics; Philosophy; Law; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003311021,0.0003245054,0.001398382,0.001517625,0.0002115293,0.0000080119,0.0004713864,0.0007268539,0.001051837],"category_scores_gemma":[0.001994606,0.0004261835,0.0002454142,0.0009590517,0.0007119045,0.0001443792,0.00003961855,0.0006509151,0.00005355709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003517688,"about_ca_system_score_gemma":0.00244016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9233103,"about_ca_topic_score_gemma":0.9902692,"domain_scores_codex":[0.9957891,0.0005550948,0.001617032,0.0005735829,0.00003621092,0.001429008],"domain_scores_gemma":[0.9970901,0.0004868264,0.0009283973,0.0004461937,0.0002800859,0.0007683694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001453995,0.00008185922,0.8991988,0.002504597,0.0001509609,0.0001016012,0.02348183,0.0001458755,0.000002399989,0.06880785,0.00355951,0.001950232],"study_design_scores_gemma":[0.0005729814,0.0003138801,0.8994336,0.003299773,0.00005311133,0.00002341008,0.02322051,0.0001190087,4.229593e-7,0.01288919,0.05965183,0.000422359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538031,0.1254979,0.000002925652,0.0142313,0.001116445,0.0007418839,0.001124177,0.000007600081,0.003474645],"genre_scores_gemma":[0.9621878,0.03228202,0.0001926619,0.00250954,0.0002013692,0.0000584828,0.0002864907,0.00003433064,0.002247294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083847,"threshold_uncertainty_score":0.9998614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361863252580056,"score_gpt":0.284821184033215,"score_spread":0.1486348587752095,"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."}}