{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589532,0.00005430444,0.0001075239,0.00005419286,0.0007323642,0.00003821102,0.00007016957,0.00003850029,0.0001581931],"category_scores_gemma":[0.00003551665,0.00006336656,0.00001739587,0.0001024761,0.0001371289,0.0002015233,0.000005302694,0.0000580398,0.00005751134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535661,"about_ca_system_score_gemma":0.0007752609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881667,"about_ca_topic_score_gemma":0.00473325,"domain_scores_codex":[0.9992251,0.00006227173,0.0001433989,0.0002304901,0.00004679776,0.000291889],"domain_scores_gemma":[0.9995731,0.00007676789,0.00005196625,0.00009309063,0.00002205071,0.0001830692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000434468,0.0001246322,0.05090482,0.0001741407,0.00007813056,0.000001307869,0.4287686,0.0001148854,0.000001404642,0.4158843,0.05103526,0.05286903],"study_design_scores_gemma":[0.0001766462,0.00003509492,0.1152341,0.000004446372,0.000001551565,9.887459e-7,0.02303786,0.00002160168,0.000002230101,0.01650242,0.8448864,0.00009666289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463868,0.000258067,0.000002405277,0.04453403,0.0005723357,0.0001861688,0.0001014322,0.00007108849,0.007887636],"genre_scores_gemma":[0.9776435,0.01497419,0.00003312273,0.003296935,0.0009540006,0.00004514639,0.0000816282,0.00001143053,0.002959974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7938511,"threshold_uncertainty_score":0.5632828,"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."}}