{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156432,0.0003075463,0.0009144947,0.0008243906,0.0006312077,0.001393569,0.001126354,0.001023844,0.01812941],"category_scores_gemma":[0.005937438,0.0003171385,0.0007448785,0.001806576,0.0007423964,0.001330411,0.00122428,0.0007180756,0.001315923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009454442,"about_ca_system_score_gemma":0.001028637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023987,"about_ca_topic_score_gemma":0.009693359,"domain_scores_codex":[0.9995074,0.0001586496,0.0000236008,0.0001158483,0.00008389175,0.0001106037],"domain_scores_gemma":[0.9984883,0.0006354374,0.0005238768,0.0001664864,0.00006557669,0.0001202679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002708934,0.0006526626,0.195847,0.0002829067,0.0002466327,0.0006173884,0.001725381,0.158984,0.002413514,0.5024779,0.00562558,0.1308561],"study_design_scores_gemma":[0.0001536036,0.0003550298,0.1158793,0.0001026106,0.0001303431,0.0004675511,0.001350829,0.3360108,0.001078507,0.5273859,0.0170093,0.00007622712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7824401,0.001593785,0.1828699,0.002596392,0.00006664437,0.0002002727,0.002548834,0.0001638743,0.02752014],"genre_scores_gemma":[0.9743845,0.0008370008,0.007518473,0.0001324022,0.00006286876,0.0001053945,0.0004736312,0.00001822362,0.01646751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812941,"threshold_uncertainty_score":0.06064892,"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."}}