{"id":"W2103638685","doi":"10.1093/heapol/czn052","title":"Paying for hospital-based care of Kala-azar in Nepal: assessing catastrophic, impoverishment and economic consequences","year":2009,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Health Economics Association","funders":"","keywords":"Poverty; Catastrophic illness; Health care; Payment; Developing country; Household income; Business; Poverty trap; Economics; Socioeconomics; Economic growth; Finance; Geography; Medicine","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":[0.0006962227,0.0002405229,0.000266717,0.001003216,0.0007217901,0.001190953,0.0008071081,0.0006135643,0.001145639],"category_scores_gemma":[0.002917334,0.0003460485,0.0003880189,0.001531237,0.0008061251,0.0009423465,0.001706315,0.0007616988,0.0001672954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129624,"about_ca_system_score_gemma":0.0008432103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386653,"about_ca_topic_score_gemma":0.04870145,"domain_scores_codex":[0.9994185,0.0002717949,0.00004615042,0.00004259246,0.00007389911,0.0001471955],"domain_scores_gemma":[0.9976083,0.0009424388,0.0008686009,0.00006237521,0.0002304702,0.0002877508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005448454,0.0001482708,0.9895834,0.00005843604,0.00007175866,0.001625894,0.0031465,0.0005610783,0.0001986027,0.0002638279,0.000147922,0.004139767],"study_design_scores_gemma":[0.000004084144,0.0002063876,0.9832385,0.00004389533,0.00003588685,0.0007346469,0.01364693,0.001554071,0.00009464533,0.0001480511,0.0002832214,0.000009887141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994175,0.00006816936,0.00003120077,0.00005541056,6.467379e-7,0.00001121968,0.00007943603,4.715464e-7,0.0003359977],"genre_scores_gemma":[0.9995207,0.0001652647,0.00005855984,0.00001912553,0.000001515021,0.00001511159,0.00009812074,3.91013e-7,0.0001211921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02386653,"threshold_uncertainty_score":0.04745525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669559708206878,"score_gpt":0.3875159010710436,"score_spread":0.3608203039889749,"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."}}