{"id":"W7098422365","doi":"","title":"Panel Estimations of the Canadian Rural/Urban Women’s Wage Gap” Working Paper","year":2002,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Wage; Unemployment; Sample (material); Efficiency wage; Panel data; Wage growth","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":[0.00201043,0.0004596204,0.0005420251,0.001583824,0.001262534,0.0009267649,0.001501901,0.0004375669,0.008804611],"category_scores_gemma":[0.003857673,0.0003878056,0.0006862038,0.00372089,0.0002542521,0.0003072722,0.0009206671,0.0007371749,0.001064832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009108872,"about_ca_system_score_gemma":0.01009566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847354,"about_ca_topic_score_gemma":0.9862449,"domain_scores_codex":[0.9993044,0.0002114099,0.0000276407,0.00009537974,0.0001433473,0.0002178177],"domain_scores_gemma":[0.997633,0.0005023438,0.0003148232,0.0002489198,0.001019978,0.0002809663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005975399,0.0003208025,0.7840483,0.0002169166,0.0007502518,0.0003095584,0.001720102,0.06090956,0.0005187323,0.01092658,0.06795277,0.07172886],"study_design_scores_gemma":[0.0001049446,0.00008613198,0.9061522,0.00007579607,0.0001549083,0.00005226376,0.002078625,0.06469973,0.0004233868,0.001438707,0.02467562,0.00005762149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144339,0.001624313,0.005027393,0.0009221644,0.00004220815,0.0002349187,0.06530681,0.0002332262,0.01217498],"genre_scores_gemma":[0.9367639,0.0007606969,0.004974783,0.000101419,0.00002048305,0.0001471722,0.04645778,0.00004298021,0.0107308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526463,"threshold_uncertainty_score":0.06608981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09109867851901157,"score_gpt":0.1843946037768658,"score_spread":0.09329592525785421,"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."}}