{"id":"W3093847127","doi":"10.5588/pha.20.0017","title":"How much do Indians pay for tuberculosis treatment? A cost analysis","year":2020,"lang":"en","type":"article","venue":"Public Health Action","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Office of International Science and Engineering; Office of AIDS Research; CRDF Global; National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Center for Advancing Translational Sciences; Indian Council of Medical Research","keywords":"Medicine; Reimbursement; Indirect costs; Tuberculosis; Payment; Direct cost; Cost–benefit analysis; Finance; Health care; Economic growth; Business; Economics","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":[0.002820739,0.0005484944,0.001069378,0.00810203,0.0004644485,0.00298828,0.001073464,0.001222555,0.00654369],"category_scores_gemma":[0.02360184,0.0004315383,0.004886533,0.01533154,0.0006667986,0.002157512,0.0007687694,0.001414104,0.0003925083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006706197,"about_ca_system_score_gemma":0.002992032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03918681,"about_ca_topic_score_gemma":0.03160729,"domain_scores_codex":[0.9972451,0.001337382,0.0003316556,0.0001842366,0.0005797136,0.0003219444],"domain_scores_gemma":[0.9862596,0.009074664,0.002917505,0.0001388882,0.001206101,0.0004033174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003127633,0.0005981039,0.6939058,0.03009954,0.01869899,0.001772876,0.001134691,0.0202723,0.0002312033,0.02194468,0.02534095,0.1828733],"study_design_scores_gemma":[0.0006556807,0.001220677,0.8642718,0.016299,0.03058062,0.003902183,0.007791266,0.02959904,0.000384877,0.01730187,0.02773041,0.0002625179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6564645,0.2379408,0.002830289,0.03406172,0.0004599013,0.001332633,0.03248319,0.00006142952,0.03436553],"genre_scores_gemma":[0.9585852,0.0357288,0.001121099,0.001075722,0.0002037982,0.0002838772,0.00246981,0.00001223933,0.000519501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03918681,"threshold_uncertainty_score":0.0779174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2137527339806276,"score_gpt":0.4308628357251635,"score_spread":0.2171101017445359,"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."}}