{"id":"W2598702482","doi":"10.5325/jafrideve.18.2.0041","title":"Economic Growth, Health Care Reform, and Child Nutrition in Ghana","year":2016,"lang":"en","type":"article","venue":"Journal of African Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Dalhousie University","funders":"","keywords":"Wasting; Underweight; Malnutrition; Economics; Fell; Developing country; Medicine; Development economics; Economic growth; Geography; Body mass index","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":[0.0007687649,0.0001291152,0.0002150622,0.0006500181,0.0006966392,0.001239561,0.0001821643,0.0004091955,0.003516959],"category_scores_gemma":[0.002999631,0.0001089582,0.0001392622,0.002540597,0.001046758,0.001234709,0.0009625725,0.0007499802,0.0001338274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003602076,"about_ca_system_score_gemma":0.002037015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07418101,"about_ca_topic_score_gemma":0.1291073,"domain_scores_codex":[0.9995535,0.0001500523,0.00001417381,0.00001933473,0.0000349735,0.0002278626],"domain_scores_gemma":[0.9982646,0.0004120813,0.0009028761,0.00001923942,0.00008017373,0.0003209782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002444607,0.0001866776,0.9623971,0.0001317856,0.00002843234,0.001681452,0.007463977,0.0008054708,0.0002363146,0.006370842,0.002020045,0.01843352],"study_design_scores_gemma":[0.00001423566,0.00004417771,0.9818132,0.0001235207,0.00001021798,0.000148338,0.01276856,0.0003029546,0.0000835168,0.0007140496,0.003972223,0.000004932684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886751,0.002253232,0.00003628107,0.00456251,0.00001464531,0.000009188851,0.0001833091,0.000001937543,0.004263767],"genre_scores_gemma":[0.9975515,0.001649682,0.00003972642,0.0001697191,0.00001644166,0.000006785606,0.00009017575,0.000001494987,0.0004746582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07418101,"threshold_uncertainty_score":0.1474985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008924267798268305,"score_gpt":0.2437723733438872,"score_spread":0.2348481055456189,"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."}}