{"id":"W2155638408","doi":"10.3402/gha.v7.25366","title":"Mortality from external causes in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System Sites","year":2014,"lang":"en","type":"article","venue":"Global Health Action","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Centers for Disease Control and Prevention; National Institute on Aging; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Ethiopian Public Health Association; Bill and Melinda Gates Foundation; International Centre for Diarrhoeal Disease Research, Bangladesh; National Institutes of Health; Vetenskapsrådet; Comic Relief; Mekelle University; Wellcome Trust; Styrelsen för Internationellt Utvecklingssamarbete; Andrew W. Mellon Foundation","keywords":"Verbal autopsy; Demography; Cause of death; Medicine; Population; Mortality rate; External cause; Quarter (Canadian coin); Environmental health; Injury prevention; Geography; Poison control; Disease; Surgery; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178019,0.0001298115,0.000461173,0.00005327406,0.0001436891,0.00001106033,0.00003519823,0.0001493541,0.000005356566],"category_scores_gemma":[0.0002905084,0.0001187068,0.00003113859,0.0001660831,0.0000640407,0.000141261,0.0000225808,0.0002348234,0.000003793353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910952,"about_ca_system_score_gemma":0.0001332956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234756,"about_ca_topic_score_gemma":0.01269285,"domain_scores_codex":[0.9976553,0.001055956,0.0004570596,0.0003775003,0.0001493512,0.0003047967],"domain_scores_gemma":[0.9988936,0.0003129136,0.0002923276,0.000186231,0.00003320803,0.0002817381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002796903,0.00002449457,0.9818841,0.0003166632,0.00001690464,0.000002391433,0.0001085402,0.000001431503,0.00004177938,0.0001296309,0.0003475313,0.01684685],"study_design_scores_gemma":[0.0004877034,0.0003617494,0.9949918,0.0008614885,0.00001300964,0.00002720769,0.0001502175,0.0007476472,0.00000642272,0.00213422,0.0001477109,0.00007078717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791819,0.01467243,0.002893412,0.002382403,0.0003438626,0.0003487392,0.00007074983,0.00006145894,0.00004501913],"genre_scores_gemma":[0.995628,0.002446248,0.0006594745,0.0009578663,0.0002171455,0.00001222706,0.00007122513,0.000004820828,0.000002999667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677607,"threshold_uncertainty_score":0.9830272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07497163083241766,"score_gpt":0.3989515610362274,"score_spread":0.3239799302038097,"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."}}