{"id":"W4413212677","doi":"10.2139/ssrn.5365592","title":"Skill Mismatches, Wage Inequality, and Gender Disparities across Canada: A Short-Project Report","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Inequality; Wage inequality; Wage; Labour economics; Demographic economics; Gender inequality; Economics; Political science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279219,0.0003479517,0.0005131143,0.002603273,0.002911672,0.001694429,0.0009501282,0.0006361778,0.008809227],"category_scores_gemma":[0.002835539,0.0001884945,0.0007446251,0.009116725,0.0005605948,0.001132798,0.001597959,0.0009563614,0.0004306113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01848347,"about_ca_system_score_gemma":0.07169861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957314,"about_ca_topic_score_gemma":0.9972107,"domain_scores_codex":[0.9991303,0.00005324482,0.00003360386,0.00009249189,0.0002650431,0.0004253394],"domain_scores_gemma":[0.9968136,0.0002997508,0.0003212038,0.0001254773,0.001520633,0.0009192731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002634098,0.0002973817,0.9046775,0.0001687403,0.0002112301,0.0001781097,0.003013199,0.001288603,0.0002283391,0.004887082,0.0380607,0.04672568],"study_design_scores_gemma":[0.00001420053,0.00002955767,0.9851648,0.00004976153,0.00006550305,0.00001837036,0.004166794,0.0008264391,0.0001482381,0.0004858824,0.00900685,0.00002356064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871921,0.003288322,0.0008659747,0.005402873,0.0001173805,0.0002676329,0.09033899,0.00006087146,0.01246586],"genre_scores_gemma":[0.9478143,0.002449529,0.001200452,0.0004431718,0.00006173553,0.0001432883,0.02741093,0.00003398491,0.02044262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01848347,"threshold_uncertainty_score":0.1341076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985394087199642,"score_gpt":0.2853482555706462,"score_spread":0.2454943146986498,"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."}}