{"id":"W2164483809","doi":"10.1093/heapol/czs024","title":"Factors influencing the burden of health care financing and the distribution of health care benefits in Ghana, Tanzania and South Africa","year":2012,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; International Development Research Centre","keywords":"Tanzania; Business; Payment; Developing country; Health care; Population; Distribution (mathematics); Economic growth; Finance; Environmental health; Socioeconomics; Medicine; Economics","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":[0.001269963,0.0001778316,0.0002342859,0.001183691,0.001232636,0.001696194,0.0002993982,0.0003505163,0.003484851],"category_scores_gemma":[0.006778947,0.0001957195,0.000181208,0.001810496,0.001750028,0.0009557733,0.001547758,0.0006973366,0.0001109573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563829,"about_ca_system_score_gemma":0.002470597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05585357,"about_ca_topic_score_gemma":0.07243578,"domain_scores_codex":[0.9986317,0.0006174417,0.00009268955,0.00005159777,0.0001218497,0.000484594],"domain_scores_gemma":[0.9944009,0.001558709,0.002615198,0.00006641494,0.000308684,0.001050141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001404328,0.0001124336,0.9524991,0.0001692558,0.00003904413,0.001615528,0.02640253,0.0003083872,0.0005127804,0.003804932,0.001196622,0.01319888],"study_design_scores_gemma":[0.00001973931,0.00004925698,0.9588467,0.000246256,0.00001502914,0.0003621781,0.03758124,0.0002040785,0.00006273168,0.0005410784,0.002059921,0.00001169491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954659,0.0006285114,0.00003432568,0.001551679,0.000006423616,0.00002006255,0.00007180978,0.00000115125,0.002220171],"genre_scores_gemma":[0.9994685,0.0002361005,0.00003971676,0.00005691915,0.00000580376,0.000008745858,0.00002084501,9.178067e-7,0.0001625249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05585357,"threshold_uncertainty_score":0.1110569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06838446806506737,"score_gpt":0.3035451986073971,"score_spread":0.2351607305423297,"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."}}