{"id":"W3124361241","doi":"","title":"Marriage, Labor Supply, and Home Production","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Matching (statistics); Production (economics); Marriage market; Sorting; Labour economics; Wage; Identification (biology); Panel data; Estimator; Nonparametric statistics; Microeconomics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003478105,0.0002533266,0.0004102675,0.0004228663,0.0004804443,0.000255008,0.0006201794,0.000600761,0.0001003956],"category_scores_gemma":[0.0009050196,0.0002513227,0.00008666976,0.0001782279,0.0009830447,0.0001875709,0.0007704805,0.001051883,0.00001715643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955324,"about_ca_system_score_gemma":0.001231676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005762461,"about_ca_topic_score_gemma":0.00446244,"domain_scores_codex":[0.996612,0.0005983649,0.0004286409,0.001035278,0.0003856244,0.0009400881],"domain_scores_gemma":[0.998255,0.0003427944,0.0001444381,0.0007353675,0.0002363906,0.0002860049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001436635,0.000256995,0.6488737,0.0003900223,0.0001747419,0.00004368621,0.01958492,0.0003803222,0.0003734982,0.02588655,0.000857706,0.3030342],"study_design_scores_gemma":[0.001295084,0.0001371123,0.6341397,0.0005667778,0.00002932594,0.000008336913,0.03003055,0.0004565331,0.00004573221,0.1064734,0.2252188,0.001598644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959958,0.0003135883,0.000002591853,0.003201737,0.001925599,0.0009356031,0.0001520396,0.00006801608,0.09740505],"genre_scores_gemma":[0.9061072,0.07419611,0.0004350321,0.00007731419,0.001368922,0.0001892096,0.00003668161,0.0000593054,0.01753017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3014356,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880368186422581,"score_gpt":0.3241213702367006,"score_spread":0.2953176883724747,"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."}}