{"id":"W7095381763","doi":"","title":"The Gender Pay Gap for Private Sector Employees in Canada and Britain.","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Private sector; Prima facie; Differential (mechanical device); Gender pay gap; Efficiency wage; Argument (complex analysis); Public sector","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":[0.0009143432,0.0002273447,0.000445789,0.002196762,0.001664595,0.001710753,0.0007343898,0.0004774179,0.002740748],"category_scores_gemma":[0.003904688,0.0001702059,0.0003274254,0.004605349,0.0005910171,0.0005477478,0.001231998,0.000697682,0.000453896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01446295,"about_ca_system_score_gemma":0.01198719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983929,"about_ca_topic_score_gemma":0.9912412,"domain_scores_codex":[0.9986377,0.00006958289,0.00003472633,0.0001251779,0.0005501225,0.0005826043],"domain_scores_gemma":[0.9972897,0.0004212585,0.0005015889,0.00008783205,0.0009537122,0.0007460415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004084171,0.000106654,0.9107676,0.0001493433,0.0001178512,0.0003200314,0.008614933,0.001097676,0.0003635233,0.006147197,0.01982022,0.05208659],"study_design_scores_gemma":[0.000005402602,0.00001454094,0.9884591,0.00003498042,0.00001273456,0.00003569165,0.003931473,0.0005371163,0.00007738602,0.0002215273,0.006656114,0.000013972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774479,0.001708656,0.000199801,0.0007079284,0.00003400815,0.00001825962,0.01186573,0.0000143173,0.008003414],"genre_scores_gemma":[0.9888319,0.0005240486,0.0001638219,0.00008205978,0.000008937649,0.00001176552,0.006831575,0.000006362638,0.003539527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607096,"threshold_uncertainty_score":0.1049365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358168388164636,"score_gpt":0.2124919136516772,"score_spread":0.1789102297700308,"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."}}