{"id":"W4387691794","doi":"10.1002/hec.4768","title":"Conditional cash transfers and women's reproductive choices","year":2023,"lang":"en","type":"article","venue":"Health Economics","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fertility; Conditional cash transfer; Affect (linguistics); Cash transfers; Cash; Demographic economics; Control (management); Demography; Psychology; Economics; Economic growth; Population; Sociology; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000733833,0.0001148957,0.0001277167,0.0002039012,0.0002477388,0.0003702551,0.000206443,0.0002746012,0.003619466],"category_scores_gemma":[0.003582743,0.00008548187,0.0001585069,0.0002502619,0.0003329584,0.0002193615,0.0004749038,0.0003549228,0.0001191862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003776354,"about_ca_system_score_gemma":0.0002376222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920308,"about_ca_topic_score_gemma":0.007554023,"domain_scores_codex":[0.9996804,0.0002097614,0.000005714949,0.00002798846,0.00001821522,0.00005786373],"domain_scores_gemma":[0.997103,0.001732865,0.000876877,0.00009443297,0.0000439036,0.0001489697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001291301,0.001196678,0.9483978,0.0001016068,0.0002996741,0.0004895672,0.001067117,0.003168531,0.001386873,0.004130336,0.0007100234,0.03776052],"study_design_scores_gemma":[0.00009278247,0.001428411,0.9867937,0.00002886218,0.0001198889,0.0001849636,0.00122346,0.004763281,0.0005215102,0.002909667,0.001921394,0.00001204253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998471,0.0001288749,0.0001298506,0.0001790519,0.000001882992,0.00000842874,0.00008643747,0.000003053497,0.0009913197],"genre_scores_gemma":[0.9993367,0.00009261904,0.0000603817,0.00002368946,0.000003001009,0.000006865421,0.00003482351,4.008651e-7,0.0004415732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004920308,"threshold_uncertainty_score":0.01210833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801577919939889,"score_gpt":0.3136882746879535,"score_spread":0.2856724954885546,"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."}}