{"id":"W4300748522","doi":"","title":"The Gender Pay Gap for Private Sector Employees in Canada and Britain","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","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":"Gender pay gap; Private sector; Gender gap; Business; Labour economics; Demographic economics; Economics; Economic growth; Wage","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":[0.0009680677,0.0002265035,0.0005886683,0.002161869,0.001752424,0.001558616,0.0007392869,0.0005661286,0.002657898],"category_scores_gemma":[0.004004344,0.0002099167,0.0003595604,0.004740023,0.0006445884,0.000526529,0.001084515,0.00066917,0.0004063815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01466868,"about_ca_system_score_gemma":0.01187109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859331,"about_ca_topic_score_gemma":0.9921462,"domain_scores_codex":[0.9985982,0.00007960029,0.00004651607,0.0001215273,0.0004918516,0.0006622306],"domain_scores_gemma":[0.9969488,0.0004498713,0.0004036577,0.00009894262,0.001238466,0.0008603184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006872974,0.0001088049,0.930496,0.0001134778,0.00009376739,0.0003843726,0.008938525,0.0008801465,0.0004504869,0.002640272,0.01514261,0.0400642],"study_design_scores_gemma":[0.000006633321,0.00001229208,0.9940049,0.00002666283,0.000008787814,0.00002980752,0.002885589,0.0002956271,0.00005996688,0.00008474568,0.002573313,0.00001173721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880535,0.000957988,0.00005068814,0.0005132229,0.00002299461,0.000009609756,0.005496558,0.000009351253,0.004886072],"genre_scores_gemma":[0.9930276,0.0004942536,0.00007625323,0.00007718306,0.000008028803,0.000007676818,0.003642374,0.000008302116,0.002658253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466868,"threshold_uncertainty_score":0.1064292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05332221800517489,"score_gpt":0.2832617109989751,"score_spread":0.2299394929938002,"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."}}