{"id":"W2983866971","doi":"10.3390/soc9040077","title":"Healthcare Financing in Rural Cameroon","year":2019,"lang":"en","type":"article","venue":"Societies","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Health care; Reciprocity (cultural anthropology); Business; Low income; Health care financing; Finance; Public economics; Economic growth; Demographic economics; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007119204,0.00005661984,0.0001503001,0.00001725794,0.00002415151,0.000004341525,0.00002960671,0.00005083947,0.0000979036],"category_scores_gemma":[0.00000542562,0.00004567731,0.00004363395,0.00006413203,0.00001694148,0.00002785367,0.00001730407,0.0001475372,0.0001900738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008782875,"about_ca_system_score_gemma":0.00006502632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070263,"about_ca_topic_score_gemma":0.00004117091,"domain_scores_codex":[0.999486,0.00001211554,0.0001101013,0.00007759033,0.0001159142,0.0001982826],"domain_scores_gemma":[0.9998128,0.000008045785,0.00002256338,0.00008606666,0.00002313837,0.00004734421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004922475,0.00002583992,0.9868018,0.000579779,0.000005544855,0.000007710644,0.002220155,0.000002524158,0.0003758743,0.002644043,0.00584797,0.001439512],"study_design_scores_gemma":[0.0007848386,0.0002043112,0.9828736,0.0003703189,0.000003810703,0.00001758566,0.006461285,0.00002489904,0.0001874048,0.001282369,0.00771559,0.00007400782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827883,0.0008736576,4.659655e-7,0.01057368,0.0001930516,0.0001565762,0.000002431865,0.00002725042,0.005384628],"genre_scores_gemma":[0.989421,0.0001437217,0.00006948646,0.005020812,0.00006844105,0.000002970824,0.000004537887,0.00000581073,0.005263219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006632744,"threshold_uncertainty_score":0.2443078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009612774324237194,"score_gpt":0.2766953114194157,"score_spread":0.2670825370951785,"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."}}