{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002084905,0.00005305574,0.000178958,0.00002974753,0.000145438,0.000002554066,0.00004989269,0.00006589778,0.00001248616],"category_scores_gemma":[0.00002147484,0.00004178708,0.000006622895,0.00001629619,0.0000812319,0.00002303623,0.00005930671,0.00009011661,0.000002278738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006216358,"about_ca_system_score_gemma":0.000323801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008952828,"about_ca_topic_score_gemma":0.0000507329,"domain_scores_codex":[0.9994956,0.00001702262,0.0001809503,0.0001050749,0.00005998661,0.0001414259],"domain_scores_gemma":[0.9996853,0.000005943824,0.000130303,0.00008731122,0.00003768786,0.00005345553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003404415,0.00002707511,0.9656295,0.0003479549,0.00001335716,0.000003096796,0.01421537,0.00000133801,0.00006759696,0.000872954,0.0003238444,0.0184639],"study_design_scores_gemma":[0.0005575895,0.00006157206,0.9943575,0.0001598751,0.000001781406,0.000008163998,0.0004727043,0.00001260708,0.00006938589,0.001354583,0.002912344,0.00003193988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863063,0.0003525785,0.00002196077,0.01224191,0.00005579102,0.0001547718,8.803515e-7,0.000006971544,0.0008588157],"genre_scores_gemma":[0.9950534,0.0001004209,0.003455834,0.001312696,0.00001444255,0.00000303594,0.000007255101,0.000002908537,0.00005000673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02872799,"threshold_uncertainty_score":0.1704028,"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."}}