{"id":"W1516117782","doi":"","title":"Marriage matching, risk sharing and spousal labor supplies","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Marriage market; Matching (statistics); Bargaining power; Economics; Census; Power (physics); Microeconomics; Labour economics; Econometrics; Sociology; Statistics; Population; Mathematics; Demography","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":[0.003236471,0.000338239,0.0005587161,0.0004372933,0.0009896273,0.0004260766,0.001051077,0.0006960071,0.00008571676],"category_scores_gemma":[0.0005529551,0.0003928571,0.0001283869,0.0001730384,0.001025353,0.0001665074,0.001668566,0.002265204,0.00001438447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008619209,"about_ca_system_score_gemma":0.001000361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006900689,"about_ca_topic_score_gemma":0.01307478,"domain_scores_codex":[0.9962369,0.0004654228,0.0005520152,0.001138596,0.0004475336,0.001159489],"domain_scores_gemma":[0.9980031,0.0004981345,0.0002163991,0.0007986663,0.0001340189,0.0003496313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007558345,0.000146859,0.8977083,0.0002008944,0.0001481587,0.0001164452,0.04916631,0.004909033,0.0000223538,0.0107158,0.0001650102,0.03662526],"study_design_scores_gemma":[0.002204854,0.000164349,0.6340477,0.0004660568,0.00006120919,0.00002350767,0.1270892,0.01482572,0.00001344347,0.1169835,0.1014068,0.002713592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791048,0.0003075197,0.000004679105,0.0002350704,0.0006167321,0.0006066335,0.0002221073,0.00007721146,0.1188252],"genre_scores_gemma":[0.7909174,0.2019448,0.0009677769,0.00007237997,0.0005894633,0.0001011326,0.00005456917,0.00007334378,0.005279159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2636606,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292690448142318,"score_gpt":0.3213028233961036,"score_spread":0.2920337785818717,"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."}}