{"id":"W1991971124","doi":"10.1007/s40258-014-0100-2","title":"Disease-Specific Impoverishment Impact of Out-of-Pocket Payments for Health Care: Evidence from Rural Bangladesh","year":2014,"lang":"en","type":"article","venue":"Applied Health Economics and Health Policy","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Department for International Development","keywords":"Poverty; Medicine; Payment; Health care; Disease; Health administration; Health economics; Environmental health; Socioeconomic status; Context (archaeology); Public health; Health policy; Socioeconomics; Economic growth; Business; Economics; Geography; Nursing; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001670332,0.0002878642,0.0004409474,0.0008179998,0.000571945,0.0009302629,0.0006255389,0.0006997055,0.006093229],"category_scores_gemma":[0.01255197,0.0002927221,0.0007473325,0.00238075,0.001043967,0.0009400352,0.001570901,0.001360437,0.0003884649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274906,"about_ca_system_score_gemma":0.001749135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.132121,"about_ca_topic_score_gemma":0.1610104,"domain_scores_codex":[0.9982485,0.0007790683,0.0001536145,0.0001251328,0.0001452986,0.000548396],"domain_scores_gemma":[0.9887,0.004679625,0.004065312,0.0004656962,0.00103247,0.00105696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000914431,0.0001878663,0.9800941,0.0003054523,0.0005091189,0.0007593624,0.0017366,0.001063743,0.0002627569,0.001823133,0.001012923,0.01133034],"study_design_scores_gemma":[0.00004031657,0.0002504814,0.9928444,0.00008789739,0.0003057788,0.000207008,0.003422963,0.000478891,0.0001341055,0.0007365927,0.001471058,0.000020463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890971,0.001404692,0.000137983,0.002238969,0.000009759895,0.00002555161,0.002320381,0.000005567611,0.004759881],"genre_scores_gemma":[0.9987626,0.0005020836,0.00002188196,0.00007211854,0.00000543178,0.00000545268,0.0002826104,0.000001128796,0.0003466839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132121,"threshold_uncertainty_score":0.262704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08677496397153388,"score_gpt":0.3606309912549997,"score_spread":0.2738560272834658,"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."}}