{"id":"W2108386375","doi":"10.1002/hec.1250","title":"Does free complementary health insurance help the poor to access health care? Evidence from France","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Plan (archaeology); Payment; Government (linguistics); Difference in differences; Health plan; Health insurance; Actuarial science; Health care; Population; Business; Medicine; Environmental health; Economic growth; Geography; Finance; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008926039,0.0003541253,0.0008622622,0.001713901,0.0008063256,0.001612242,0.001120922,0.001802846,0.01168444],"category_scores_gemma":[0.0276261,0.0002267742,0.001441493,0.001533443,0.001431269,0.001192432,0.00138551,0.001078671,0.0006453542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002611769,"about_ca_system_score_gemma":0.001726909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1083135,"about_ca_topic_score_gemma":0.09929769,"domain_scores_codex":[0.9946734,0.003620218,0.0001857876,0.0002747314,0.000478597,0.0007672386],"domain_scores_gemma":[0.9477291,0.03737018,0.008648993,0.001623244,0.002602738,0.002025596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01115071,0.001927664,0.809469,0.002574488,0.004075439,0.0008795584,0.003140983,0.001763968,0.0002491669,0.01076826,0.02260779,0.1313929],"study_design_scores_gemma":[0.001563811,0.001671732,0.9559855,0.002038284,0.002236143,0.0004154217,0.003315011,0.001019815,0.0002183315,0.003214838,0.0282571,0.00006393623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716549,0.0583224,0.0003357106,0.04009518,0.0001417809,0.00006451583,0.002611929,0.00002494957,0.02674873],"genre_scores_gemma":[0.9856002,0.009403155,0.0001266746,0.00288938,0.0001548334,0.00001393026,0.0005867376,0.000006234015,0.001218853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083135,"threshold_uncertainty_score":0.2153661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0806342586172368,"score_gpt":0.3388905505021638,"score_spread":0.2582562918849269,"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."}}