{"id":"W1942270251","doi":"10.25336/p64s52","title":"Lifetime impact of cash transfer on fertility","year":2014,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Birth, Development, and Health","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sogang University","keywords":"Fertility; Allowance (engineering); Cash; Transfer (computing); Natural experiment; Cash transfers; Economics; Demographic economics; Developing country; Business; Demography; Population; Economic growth; Finance; Operations management; Statistics; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732491,0.00008729459,0.0002701939,0.0001954736,0.00005589912,0.000001697274,0.00002620137,0.00006435958,0.00003750386],"category_scores_gemma":[0.0001664044,0.00007319803,0.00004755365,0.0001503404,0.00003921733,0.00002504111,0.00000320129,0.00009846528,0.000008586783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008883823,"about_ca_system_score_gemma":0.0002366258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1342399,"about_ca_topic_score_gemma":0.4056746,"domain_scores_codex":[0.9992445,0.0000408648,0.0002576542,0.0001377104,0.0001053234,0.0002139768],"domain_scores_gemma":[0.9995512,0.00003061481,0.00002262731,0.0001428478,0.00006490495,0.000187785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006808209,0.00002184303,0.9874111,0.0001189302,0.00004560877,0.000003860224,0.001356363,0.00002217402,0.00001707148,0.003795785,0.001116997,0.006022126],"study_design_scores_gemma":[0.0004926362,0.0001802311,0.9972767,0.00009609765,0.00001228694,0.00000169126,0.00009100167,0.00009668667,0.00001909407,0.001466235,0.000206731,0.00006060776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992162,0.0001580223,0.000009382503,0.0004136964,0.0001231305,0.0002302154,0.00001114193,0.000009491907,0.006882843],"genre_scores_gemma":[0.9988323,0.0005331997,0.0000574367,0.000443412,0.0000514434,0.000006537258,0.00003443635,0.00000836432,0.00003286829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2714346,"threshold_uncertainty_score":0.8715252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911779256655005,"score_gpt":0.3639257444022901,"score_spread":0.3048079518357401,"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."}}