{"id":"W3025594482","doi":"10.3386/w16811","title":"The Impact of National Health Insurance on Birth Outcomes: A Natural Experiment in Taiwan","year":2011,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Taiwan University; McGill University; Emory University; University of Chicago; National Science Foundation","keywords":"Natural experiment; National health insurance; Natural (archaeology); Actuarial science; Health insurance; Environmental health; Business; Demography; Medicine; Geography; Economics; Economic growth; Health care; Population; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.008678648,0.0006511252,0.000764359,0.0004261943,0.0006583294,0.0007060698,0.001120803,0.001552741,0.002207203],"category_scores_gemma":[0.01025801,0.0004306365,0.001340532,0.0004043595,0.001332339,0.0005942774,0.0008469599,0.001581596,0.0003301713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009712184,"about_ca_system_score_gemma":0.001200963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937805,"about_ca_topic_score_gemma":0.01504956,"domain_scores_codex":[0.9967988,0.002366541,0.0001100751,0.0002874046,0.0001036641,0.0003335765],"domain_scores_gemma":[0.98007,0.01358386,0.003106523,0.002077303,0.0002841823,0.0008782219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06349059,0.06167693,0.7746084,0.000379951,0.003789206,0.002829564,0.002748042,0.04506528,0.01044063,0.003683913,0.003057364,0.02823015],"study_design_scores_gemma":[0.01541934,0.07778744,0.7537541,0.00007469822,0.001773042,0.0003346428,0.003028163,0.1371349,0.004694111,0.003878904,0.001937967,0.0001826836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992595,0.00002640476,0.000243771,0.00007327454,0.000006631331,0.00007700411,0.0001630605,0.000007013874,0.0001432963],"genre_scores_gemma":[0.9971929,0.00004372888,0.0007867208,0.0001328268,0.00001288437,0.0005157071,0.0005155742,0.00000347071,0.0007962063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01937805,"threshold_uncertainty_score":0.0458976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2557259687998472,"score_gpt":0.5491956935944415,"score_spread":0.2934697247945944,"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."}}