{"id":"W2896814208","doi":"10.11114/aef.v5i6.3682","title":"Macroeconomic Determinants of Infant Mortality in WAEMU Countries: Evidence from Panel Data Analysis","year":2018,"lang":"en","type":"article","venue":"Applied Economics and Finance","topic":"Global Health Care Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Panel data; Endogeneity; Infant mortality; Fixed effects model; Instrumental variable; Proxy (statistics); Gross domestic product; Econometric analysis; Econometrics; Life expectancy; Demographic economics; Developing country; Macroeconomics; Population; Economic growth; Statistics; Medicine; Environmental health","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":[0.00092374,0.0001630249,0.0007223135,0.00009864798,0.0001735786,0.00001076779,0.0005148289,0.0001773899,0.00009138786],"category_scores_gemma":[0.00005342214,0.000173809,0.00002983112,0.0001614498,0.0002212412,0.0002200822,0.0004762162,0.0001815458,0.0001791959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347661,"about_ca_system_score_gemma":0.0002525554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02068188,"about_ca_topic_score_gemma":0.0899974,"domain_scores_codex":[0.9977869,0.00004737482,0.001023553,0.0006778666,0.00004545656,0.00041885],"domain_scores_gemma":[0.9976367,0.0004416943,0.000596631,0.001213726,0.00004879836,0.00006241721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001112883,0.00001571788,0.9941247,0.00008297217,0.00005272234,0.000001085436,0.001520051,0.00005336474,0.000008589388,0.002121657,0.0002852038,0.001622614],"study_design_scores_gemma":[0.000395697,0.00002618755,0.9813555,0.0001224961,0.00008001291,1.528261e-7,0.0003628719,0.008535094,0.00008831052,0.00188007,0.006982844,0.0001707228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967086,0.0006833051,0.00003607477,0.0001058491,0.0002406664,0.000457133,0.00115926,0.00001160283,0.0005975313],"genre_scores_gemma":[0.9878704,0.01062882,0.0007823727,0.0004459166,0.0001274428,0.00004603582,0.00006008604,0.00001268973,0.00002621154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06931552,"threshold_uncertainty_score":0.9858395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122321610266345,"score_gpt":0.4213337455215841,"score_spread":0.2990121352552391,"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."}}