{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00463876,0.0002230048,0.0004294894,0.0003068571,0.0008005729,0.0007900331,0.0005990826,0.0005968246,0.009197934],"category_scores_gemma":[0.01045608,0.0001280056,0.0005008285,0.0004252333,0.0009838701,0.0004713148,0.0006375737,0.0007571717,0.0003911924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00354818,"about_ca_system_score_gemma":0.005214787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07425702,"about_ca_topic_score_gemma":0.08303107,"domain_scores_codex":[0.9972177,0.001401537,0.00009500282,0.0003178236,0.0004669888,0.0005010102],"domain_scores_gemma":[0.9919773,0.004771047,0.001416215,0.0008430052,0.0004618887,0.0005305824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0345918,0.01243059,0.5242265,0.001273512,0.001858371,0.0006969915,0.005264719,0.03184889,0.01663458,0.05643313,0.009704558,0.3050364],"study_design_scores_gemma":[0.001775847,0.0302697,0.892514,0.0002354953,0.001114872,0.0001833112,0.002455117,0.01033213,0.01117232,0.01398637,0.03579292,0.0001679866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817208,0.0005127206,0.001612963,0.000837397,0.00007749329,0.0003596513,0.003504214,0.00004359833,0.01133119],"genre_scores_gemma":[0.9912513,0.0002826161,0.0006750491,0.0002021874,0.00002418407,0.0002911905,0.000490543,0.000005671211,0.00677719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07425702,"threshold_uncertainty_score":0.1476496,"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."}}