{"id":"W3140541876","doi":"","title":"Control over Money in Marriage","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spouse; Control (management); Consumption (sociology); Division of labour; Position (finance); Economics; Set (abstract data type); Demographic economics; Political science; Finance; Sociology; Law; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005435905,0.0003214919,0.0006595349,0.0006107815,0.000286062,0.0002651415,0.001016919,0.0009467401,0.0002712368],"category_scores_gemma":[0.001106219,0.0003849851,0.000193042,0.000294843,0.0006288164,0.0001392672,0.0004176932,0.002253404,0.00002469163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324952,"about_ca_system_score_gemma":0.001983125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442772,"about_ca_topic_score_gemma":0.02398976,"domain_scores_codex":[0.9950731,0.001295165,0.0007127281,0.001002198,0.000511019,0.001405817],"domain_scores_gemma":[0.9977893,0.000698826,0.0001746598,0.0008772109,0.0001304925,0.0003294819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002127115,0.0007091844,0.8773534,0.0002430803,0.000216818,0.0002571753,0.01854006,0.02296,0.00009754585,0.03879479,0.0007338729,0.03988137],"study_design_scores_gemma":[0.007021402,0.0001652408,0.6497903,0.0004948369,0.00003732792,0.000004018408,0.03746964,0.02251818,0.000008963138,0.06434531,0.2153963,0.00274856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6528601,0.0001877494,0.000006664371,0.0003534815,0.0009808039,0.001037283,0.00009335096,0.00003452251,0.344446],"genre_scores_gemma":[0.9773231,0.01568875,0.0002425338,0.0003286294,0.0003192798,0.0002239334,0.00003020685,0.00006214002,0.005781419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3386646,"threshold_uncertainty_score":0.9998602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957547176475932,"score_gpt":0.3298953049503638,"score_spread":0.3003198331856045,"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."}}