{"id":"W4378878361","doi":"10.2139/ssrn.4465115","title":"The Labor Market Returns to Unobserved Skills: Evidence from a Gender Quota","year":2023,"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 Regina","funders":"","keywords":"Economics; Labour economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006095907,0.0003165024,0.0009161182,0.001184918,0.0008593623,0.001711658,0.001162368,0.001457419,0.01843318],"category_scores_gemma":[0.03427383,0.0003515661,0.0005091847,0.002218759,0.002554854,0.00248138,0.002016741,0.001737853,0.001529544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005180896,"about_ca_system_score_gemma":0.0004023933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008901219,"about_ca_topic_score_gemma":0.006625789,"domain_scores_codex":[0.9970733,0.001481734,0.0001382766,0.0004091119,0.0004350819,0.0004625786],"domain_scores_gemma":[0.9280257,0.05295309,0.01141287,0.003887389,0.001477545,0.002243361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006026856,0.002244551,0.8612964,0.0003699226,0.0006432043,0.0005301777,0.003757962,0.00459691,0.00204522,0.05298735,0.007251008,0.05825048],"study_design_scores_gemma":[0.0002459449,0.000728308,0.9522775,0.0001044839,0.0002153831,0.0001404768,0.003172032,0.006628965,0.0008843979,0.03107789,0.004475002,0.00004974783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884427,0.000592288,0.001761198,0.001131911,0.00004292679,0.00002374263,0.00117255,0.0000133162,0.006819359],"genre_scores_gemma":[0.9980453,0.0001429913,0.00009993195,0.0001028052,0.00003485066,0.00001130892,0.0003789619,0.000005655837,0.001178082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01843318,"threshold_uncertainty_score":0.06166512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258593124314352,"score_gpt":0.2690084969493807,"score_spread":0.2164225657062372,"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."}}