{"id":"W2153250552","doi":"10.18235/0012535","title":"From Few to Many: Ten Years of Health Insurance Expansion in Colombia","year":2009,"lang":"en","type":"article","venue":"Inter-American Development Bank eBooks","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad del Rosario; Inter-American Development Bank; Bill and Melinda Gates Foundation","keywords":"Subsidy; Recession; Health care; Health insurance; Quarter (Canadian coin); Economic growth; Population; Business; Health policy; Development economics; Developing country; Economic policy; Political science; Economics; Medicine; Geography; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001104488,0.0001576762,0.000218282,0.0009974835,0.002132306,0.003976734,0.0004987752,0.0008174805,0.004613144],"category_scores_gemma":[0.002518933,0.0001652212,0.0001830225,0.001353045,0.001561709,0.001972559,0.001919934,0.002212467,0.0001832246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01631994,"about_ca_system_score_gemma":0.005628416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3023929,"about_ca_topic_score_gemma":0.4058711,"domain_scores_codex":[0.999161,0.0001685763,0.00002837063,0.00006196893,0.0001616218,0.0004185296],"domain_scores_gemma":[0.9982113,0.0003726533,0.0003360975,0.00006496964,0.0002932166,0.000721867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001084283,0.0005859017,0.2003793,0.001608555,0.0001162118,0.004145995,0.04397373,0.002974002,0.002201632,0.2482127,0.1204742,0.3742435],"study_design_scores_gemma":[0.00006133229,0.0001735887,0.4683095,0.0006765266,0.00004287147,0.0006935121,0.04379994,0.001143552,0.0006384855,0.007579722,0.4767494,0.0001314655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7398484,0.0495427,0.0006977696,0.08494408,0.0005325962,0.00008210143,0.00170219,0.00006668792,0.1225835],"genre_scores_gemma":[0.9829043,0.007704679,0.0002163851,0.001926905,0.000129136,0.00002015322,0.0003223817,0.00001115149,0.006764949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3023929,"threshold_uncertainty_score":0.6012656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728751543662453,"score_gpt":0.2592415082319345,"score_spread":0.23195399279531,"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."}}