{"id":"W2972270200","doi":"10.6000/1929-4247.2019.08.03.3","title":"Determinants of Infant Mortality in Bangladesh: A Nationally Surveyed Data Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Child Health and Nutrition","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Environmental health; Demography; Socioeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009397706,0.0002482192,0.0003102476,0.0008936295,0.0002726512,0.000350665,0.0003355343,0.0002655147,0.001903647],"category_scores_gemma":[0.002236499,0.0002186369,0.0004012101,0.002220484,0.0001779142,0.0002821295,0.0005959115,0.0004766331,0.0006592982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007035781,"about_ca_system_score_gemma":0.0006842196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0396699,"about_ca_topic_score_gemma":0.03527546,"domain_scores_codex":[0.9993114,0.0002177524,0.000144483,0.000115012,0.0001235172,0.00008779325],"domain_scores_gemma":[0.9987969,0.0002903369,0.0004025332,0.0001372949,0.0002649064,0.0001079728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003727732,0.00003760908,0.9948577,0.00005506074,0.00006549396,0.00006048334,0.0002168596,0.0002686676,0.000121785,0.00005373409,0.0008829155,0.003342407],"study_design_scores_gemma":[0.000004718026,0.0000745148,0.9966279,0.0000315452,0.00002739563,0.0001094121,0.00115599,0.0006518462,0.00006098604,0.00003734215,0.00121069,0.000007612021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726859,0.000212048,0.0003161653,0.0002273224,0.000004473479,0.00005722423,0.02549886,0.00001418262,0.0009837846],"genre_scores_gemma":[0.9821025,0.0003195675,0.0005991937,0.00004494874,0.000004130954,0.0001152225,0.01640173,0.000004390455,0.0004083719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0396699,"threshold_uncertainty_score":0.07887799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787181058528762,"score_gpt":0.3667489361534084,"score_spread":0.3388771255681208,"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."}}