{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699249,0.0002055297,0.0001374419,0.001019269,0.002541643,0.001425701,0.0002762922,0.0005320865,0.005653943],"category_scores_gemma":[0.002858429,0.0002058111,0.0001088336,0.001361543,0.001834407,0.001070564,0.001579328,0.00059914,0.0001261274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004276196,"about_ca_system_score_gemma":0.005224458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371914,"about_ca_topic_score_gemma":0.03028825,"domain_scores_codex":[0.9990035,0.0005579102,0.0000344128,0.00003972601,0.00003603934,0.0003283969],"domain_scores_gemma":[0.997761,0.0009285588,0.0007156567,0.00003908763,0.0001263363,0.0004293315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003167812,0.0003530127,0.6543201,0.001532163,0.00004753338,0.01931572,0.1578677,0.001445772,0.004753574,0.05900254,0.00848065,0.09256449],"study_design_scores_gemma":[0.00006345189,0.0004665031,0.5364646,0.001931513,0.00004895935,0.004964247,0.3832019,0.001533826,0.001063709,0.003350306,0.06681684,0.00009416358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902913,0.001175837,0.00022343,0.004266578,0.00002429726,0.00005878493,0.0001009403,0.000003586482,0.003855232],"genre_scores_gemma":[0.9982499,0.0007581956,0.0001413355,0.0002429072,0.000007294897,0.00003247479,0.0000190572,9.477847e-7,0.0005478767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371914,"threshold_uncertainty_score":0.04716212,"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."}}