{"id":"W3148246334","doi":"10.1257/mac.20200318","title":"Hours, Occupations, and Gender Differences in Labor Market Outcomes","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonmarket forces; Narrative; Productivity; Welfare; Economics; Labour economics; Demographic economics; Microeconomics; Factor market; Economic growth; Market economy","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":[0.001463973,0.000143694,0.0001875369,0.0006835454,0.0004653761,0.000871425,0.0002339044,0.0003599589,0.01237334],"category_scores_gemma":[0.004577118,0.00005927294,0.0001960256,0.0007545179,0.0007809566,0.0006150139,0.0007959445,0.0004940543,0.0005806803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005202053,"about_ca_system_score_gemma":0.0002672111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005629729,"about_ca_topic_score_gemma":0.008228468,"domain_scores_codex":[0.9996768,0.0001160686,0.00001464363,0.00004471794,0.00006261701,0.0000851649],"domain_scores_gemma":[0.9974596,0.001244342,0.0007002997,0.0001313857,0.0001129274,0.0003513697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003007941,0.0001371037,0.9064529,0.00006812859,0.0000749925,0.0002503097,0.003248501,0.001647927,0.0003349546,0.05116986,0.006163255,0.03015121],"study_design_scores_gemma":[0.00001668182,0.0001084681,0.9616819,0.00009121097,0.00002514954,0.0001176359,0.005343224,0.001590527,0.0001699193,0.02373846,0.007100095,0.00001675173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637877,0.001376606,0.001071712,0.002882558,0.00004477423,0.0000207607,0.00138647,0.00001151466,0.02941776],"genre_scores_gemma":[0.9977486,0.0002078604,0.000121144,0.0001266434,0.00001967826,0.000006589857,0.0002327857,0.000002308616,0.001534483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237334,"threshold_uncertainty_score":0.04139292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944023007201895,"score_gpt":0.2811563708652293,"score_spread":0.2617161407932103,"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."}}