{"id":"W6920670751","doi":"10.60692/zj5ym-9ys55","title":"Performance of four computer-coded verbal autopsy methods for cause of death assignment compared with physician coding on 24,000 deaths in low- and middle-income countries","year":2014,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Verbal autopsy; Concordance; Cause of death; Population; Autopsy; Fraction (chemistry); Replicate","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":[0.0113332,0.001189182,0.0008374342,0.003251176,0.0005535695,0.001635528,0.001334417,0.001227537,0.00106778],"category_scores_gemma":[0.04024492,0.0003926754,0.001779327,0.001552248,0.0007347045,0.001145113,0.001844641,0.001006929,0.0006276222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008217194,"about_ca_system_score_gemma":0.001178629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418148,"about_ca_topic_score_gemma":0.01179726,"domain_scores_codex":[0.9936985,0.00299807,0.000661141,0.001647683,0.000639763,0.0003547889],"domain_scores_gemma":[0.9670606,0.02288274,0.003012916,0.00233433,0.003890519,0.0008187682],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004502356,0.0003780685,0.787795,0.0008989777,0.001826501,0.0002775124,0.001009088,0.07757938,0.001686538,0.0007632523,0.01171452,0.1115687],"study_design_scores_gemma":[0.0005694184,0.001178626,0.5747798,0.001000972,0.0008616928,0.001304449,0.001811591,0.4010217,0.007656435,0.002807477,0.00669397,0.0003138596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799042,0.00168936,0.007529471,0.0002754721,0.0001674706,0.0001198097,0.007487474,0.0008584799,0.00196823],"genre_scores_gemma":[0.9585594,0.0004549818,0.01356941,0.0001270979,0.00006055442,0.0001077488,0.02643958,0.0001170585,0.0005642048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9886668,"threshold_uncertainty_score":0.0599364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506777706450055,"score_gpt":0.2824659554388664,"score_spread":0.2373981783743659,"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."}}