{"id":"W2610434614","doi":"10.1016/j.socscimed.2017.05.002","title":"New challenges for verbal autopsy: Considering the ethical and social implications of verbal autopsy methods in routine health information systems","year":2017,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Medical Research Council; National Health and Medical Research Council; National Heart Foundation of Australia","keywords":"Verbal autopsy; Context (archaeology); Disadvantaged; Population; Deliberation; Public health; Medicine; Cause of death; Psychology; Political science; Pathology; Environmental health; Geography; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1274558,0.001008349,0.002788829,0.006031115,0.002462124,0.01042766,0.005024071,0.01027754,0.004288798],"category_scores_gemma":[0.2375252,0.0007336131,0.002092943,0.00743996,0.01506898,0.01918688,0.005800439,0.01407633,0.0007323307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006368961,"about_ca_system_score_gemma":0.02933646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008541988,"about_ca_topic_score_gemma":0.02271781,"domain_scores_codex":[0.9321069,0.05070294,0.006146674,0.001544895,0.008556683,0.0009418502],"domain_scores_gemma":[0.4437568,0.5099738,0.01496434,0.006044518,0.02294593,0.00231472],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001138818,0.0000821746,0.002039963,0.04133251,0.0005255204,0.0003976764,0.005139083,0.0005770793,0.0001290994,0.1046278,0.06021927,0.784816],"study_design_scores_gemma":[0.00009326007,0.0001079074,0.003625412,0.2574359,0.0007896638,0.002236023,0.01309402,0.0007967533,0.0003644006,0.1433428,0.5778878,0.0002259662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003919616,0.9269145,0.001223232,0.06885671,0.001287024,0.00002728842,0.00003762026,0.000008747051,0.001252927],"genre_scores_gemma":[0.01339491,0.955898,0.004409909,0.02205138,0.003753805,0.0001225191,0.00005293326,0.00002625525,0.0002903555],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8725442,"threshold_uncertainty_score":0.6740587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368596869402336,"score_gpt":0.5261693778645896,"score_spread":0.289309690924356,"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."}}