{"id":"W4405075128","doi":"10.1257/jel.20231648","title":"The Changing Identities of American Wives and Mothers","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Literature","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Matching (statistics); Variety (cybernetics); Marriage market; Value (mathematics); Resource (disambiguation); Demographic economics; Economics; Psychology; Medicine; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005104953,0.00004927133,0.0001154839,0.0001069494,0.0001447824,0.0003655158,0.0001278558,0.00002960406,0.000008273559],"category_scores_gemma":[0.00002304032,0.00003296868,0.00006908003,0.0001109525,0.0002436841,0.000288007,0.00001398474,0.0001267565,0.000001024696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000495078,"about_ca_system_score_gemma":0.0001054771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002702818,"about_ca_topic_score_gemma":0.00007891189,"domain_scores_codex":[0.9995354,0.00004766005,0.0001797831,0.00005384156,0.00006399266,0.0001192807],"domain_scores_gemma":[0.9995977,0.0001285755,0.000144748,0.00004815208,0.00003942077,0.00004135153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003467608,0.00001478587,0.02397575,0.00009473071,0.0003801385,0.00003336835,0.6393561,0.0001531249,0.0002219434,0.3160307,0.006566616,0.01313811],"study_design_scores_gemma":[0.0004575936,0.0003033504,0.02994633,0.0008282767,0.0001317642,0.0001107902,0.6717832,0.001946407,0.0000557726,0.08430633,0.2097302,0.0003999269],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980535,0.01315776,0.00003370937,0.001165387,0.00132413,0.00003035059,0.00001268697,0.000004832862,0.003736118],"genre_scores_gemma":[0.9905102,0.005920608,0.0001093785,0.00007542324,0.0005434817,3.219067e-7,3.064865e-7,0.000005579591,0.002834669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2317243,"threshold_uncertainty_score":0.3524677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007819493995954985,"score_gpt":0.2638980196796669,"score_spread":0.2560785256837119,"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."}}