{"id":"W2601650779","doi":"10.1525/sod.2017.3.1.47","title":"Infrastructure Provisioning and Health Service Utilization in Africa","year":2017,"lang":"en","type":"article","venue":"Sociology of Development","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Provisioning; Corporate governance; Business; Service (business); Health care; Psychological intervention; Economic growth; Marketing; Medicine; Economics; Finance; Telecommunications; Computer science; Nursing","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":[0.001064767,0.0001979493,0.0002756013,0.0008937905,0.0007334596,0.001296622,0.0003013337,0.0003806649,0.002821075],"category_scores_gemma":[0.0069928,0.0002421393,0.0003987261,0.002090391,0.00109403,0.001234379,0.002523273,0.000596168,0.00009495336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151894,"about_ca_system_score_gemma":0.001809032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04117084,"about_ca_topic_score_gemma":0.0412013,"domain_scores_codex":[0.9987152,0.0006138048,0.00004300814,0.00006919526,0.0000632494,0.000495651],"domain_scores_gemma":[0.9968966,0.00126203,0.001239963,0.0001033227,0.0001326338,0.0003654128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008887366,0.0001132731,0.9572684,0.0001265623,0.0001429658,0.0003321538,0.004211354,0.00760026,0.0002866339,0.01223622,0.0007527735,0.01684061],"study_design_scores_gemma":[0.00002160307,0.0001576854,0.972787,0.0003214738,0.00009740985,0.0001747546,0.01023303,0.007823756,0.0003201402,0.004515782,0.003522876,0.00002446368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954921,0.0006328377,0.0005223768,0.0008773878,0.000006486725,0.00001463762,0.0002274092,0.000004602848,0.002222182],"genre_scores_gemma":[0.9993243,0.0002935964,0.0001643047,0.00002336247,0.000003850187,0.000009135045,0.0000404252,0.000001063585,0.0001399269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04117084,"threshold_uncertainty_score":0.08186239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05471135581442414,"score_gpt":0.3463105727814718,"score_spread":0.2915992169670477,"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."}}