{"id":"W2072063065","doi":"10.1186/s12913-015-0682-x","title":"Assessing catastrophic and impoverishing effects of health care payments in Uganda","year":2015,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Prepayment of loan; Poverty; Payment; Health care; Direct Payments; Welfare; Business; Population; Public health; Medicine; Economic growth; Environmental health; Finance; Economics; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005116144,0.0005831937,0.000531222,0.003014759,0.0009330644,0.001945072,0.0006890561,0.0006903365,0.002071069],"category_scores_gemma":[0.02272206,0.00040385,0.0007242061,0.002796805,0.001008319,0.001296561,0.004008488,0.001046233,0.000178924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892668,"about_ca_system_score_gemma":0.001794062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009024099,"about_ca_topic_score_gemma":0.01082274,"domain_scores_codex":[0.9939743,0.003431912,0.0006708765,0.000239573,0.0008799646,0.0008034849],"domain_scores_gemma":[0.9802102,0.006430772,0.01015541,0.0003052869,0.001763018,0.00113523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003007203,0.0001211526,0.966049,0.0005043058,0.0002654209,0.0007046064,0.002541401,0.003288565,0.0001663054,0.0005925887,0.001123617,0.02434232],"study_design_scores_gemma":[0.00001081223,0.0003482534,0.9899573,0.0003318615,0.00005816206,0.0005663997,0.004190053,0.002228091,0.0001293239,0.0005951315,0.001559441,0.00002533373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939917,0.0013776,0.0003625711,0.0006108889,0.00001644924,0.0001114334,0.0009677048,0.000006985554,0.002554592],"genre_scores_gemma":[0.9985078,0.0006095785,0.0003414969,0.00007091149,0.00001078433,0.00008059076,0.0002509649,0.0000017066,0.0001261147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009024099,"threshold_uncertainty_score":0.02705711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083447825660269,"score_gpt":0.4121847209486624,"score_spread":0.3038399383826356,"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."}}