{"id":"W2617694600","doi":"10.1186/s12889-017-4420-7","title":"Prevalence and determinants of childhood mortality in Nigeria","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"","keywords":"Medicine; Biostatistics; Public health; Epidemiology; Environmental health; Demography; Internal medicine; Pathology","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":[0.0005051912,0.0001816823,0.0002081963,0.001296945,0.0003513187,0.0004710547,0.0002877402,0.000189883,0.001529243],"category_scores_gemma":[0.001531121,0.0001916733,0.0001952582,0.001189467,0.0002650132,0.0002800689,0.000467011,0.0004849556,0.0001339638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618352,"about_ca_system_score_gemma":0.000513401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117091,"about_ca_topic_score_gemma":0.0139595,"domain_scores_codex":[0.9996213,0.00008856853,0.00006284194,0.00005370749,0.00009045261,0.00008319529],"domain_scores_gemma":[0.9991461,0.0001449992,0.0004667857,0.00002778177,0.0001010992,0.0001131978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001732435,0.00001868304,0.9969382,0.00005374811,0.00001149759,0.0001297126,0.0002285771,0.00002742955,0.00008429075,0.00006024316,0.0001594458,0.002270835],"study_design_scores_gemma":[8.049232e-7,0.00003256625,0.9974906,0.0001114548,0.000009048463,0.0006162004,0.001062049,0.00008322574,0.00004215897,0.00005621644,0.0004926663,0.000003037766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939189,0.002593928,0.0001070921,0.0002566783,0.00002268294,0.00002086112,0.001251998,0.000005728728,0.001822165],"genre_scores_gemma":[0.9973865,0.001826143,0.0001335027,0.0000186755,0.00001130717,0.00001146747,0.0004737946,0.000001280131,0.0001373301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117091,"threshold_uncertainty_score":0.02221173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05075302808123474,"score_gpt":0.3670659379682584,"score_spread":0.3163129098870237,"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."}}