{"id":"W4407028705","doi":"10.2139/ssrn.5056191","title":"The Gender Unemployment Gap in Canada","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":"University of Ottawa","funders":"","keywords":"Unemployment; Gender gap; Demographic economics; Political science; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001386711,0.0002776945,0.0009858717,0.003564812,0.007944313,0.004229251,0.00159906,0.001651321,0.01239464],"category_scores_gemma":[0.004424144,0.0003258226,0.0007561403,0.008111075,0.001777703,0.001295312,0.002370897,0.002105915,0.0005556859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05892114,"about_ca_system_score_gemma":0.1107796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968028,"about_ca_topic_score_gemma":0.9983101,"domain_scores_codex":[0.9973981,0.0001085688,0.00008310984,0.0002461585,0.0004517537,0.001712387],"domain_scores_gemma":[0.9951928,0.0004264264,0.0005356171,0.00009661894,0.001492044,0.002256471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009867845,0.0002441138,0.7805859,0.0003697971,0.0002710631,0.001165771,0.01789167,0.001862248,0.0004507953,0.05599127,0.06717592,0.07300461],"study_design_scores_gemma":[0.0000413886,0.00004001533,0.9569037,0.0003246171,0.0000544933,0.0001145492,0.01367523,0.001223454,0.000117657,0.002805885,0.02463344,0.00006547832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931882,0.009746904,0.0001940335,0.02240662,0.0003240642,0.0000358514,0.01017664,0.00002886769,0.02520495],"genre_scores_gemma":[0.9877093,0.002135144,0.00007554691,0.0007690023,0.00006211677,0.00001513246,0.00126557,0.00002047476,0.007947687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05892114,"threshold_uncertainty_score":0.4275048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490434949750888,"score_gpt":0.2322086615839087,"score_spread":0.2073043120863998,"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."}}