{"id":"W4385855121","doi":"10.1515/jgd-2023-0012","title":"When Women’s Work Disappears: Marriage and Fertility Decisions in Peru","year":2023,"lang":"en","type":"article","venue":"Journal of Globalization and Development","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Fertility; Competition (biology); Demographic economics; China; Consumption (sociology); Marriage market; Liberalization; Labour economics; Total fertility rate; Population; Family planning; Research methodology; Demography; Market economy; Geography","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":[0.001189281,0.00006435284,0.0001321972,0.0001232255,0.0001998314,0.00009040967,0.00008273304,0.00005792902,0.00003481357],"category_scores_gemma":[0.00030602,0.00005602821,0.00001364081,0.0004269553,0.00006019772,0.0001373472,0.00004742433,0.00006015079,0.000004904485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297993,"about_ca_system_score_gemma":0.0002751094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894039,"about_ca_topic_score_gemma":0.0003690126,"domain_scores_codex":[0.9989662,0.00009595793,0.0003223527,0.00009650709,0.0003255861,0.0001934196],"domain_scores_gemma":[0.9995292,0.00006049536,0.00009752112,0.00004284525,0.0001062345,0.0001636969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003990607,0.00004398607,0.8836496,0.00000666412,0.00001545246,0.00001362483,0.09686023,0.00005385119,0.000004815811,0.001561422,0.001506516,0.01624387],"study_design_scores_gemma":[0.0003224744,0.00001081004,0.9241292,0.00004429856,0.00000207783,0.000001273918,0.03208306,0.00003149581,5.86342e-7,0.003274805,0.040032,0.00006788173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956136,0.0002076168,0.002227137,0.0005896996,0.000249819,0.00007328082,0.000001692219,0.00001337777,0.001023758],"genre_scores_gemma":[0.9959098,0.001605653,0.001915278,0.000209827,0.00002819068,0.000002461381,0.000002459542,0.000003741991,0.0003225483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06477717,"threshold_uncertainty_score":0.2284764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827342598881736,"score_gpt":0.2941686500609365,"score_spread":0.2658952240721191,"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."}}