{"id":"W4403439406","doi":"10.2196/59937","title":"Unified Mobile App for Streamlining Verbal Autopsy and Cause of Death Assignment in India: Design and Development Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Global Health and Epidemiology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Council of Medical Research","keywords":"Verbal autopsy; Preprint; Computer science; Cause of death; Medicine; World Wide Web; Pathology","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":[0.003191931,0.000583383,0.0004981758,0.00106064,0.0004681444,0.001155736,0.001183333,0.0006606609,0.006431024],"category_scores_gemma":[0.004957637,0.0003785121,0.0006280057,0.0003101051,0.000520394,0.0008784027,0.001191404,0.0006565943,0.00143838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257772,"about_ca_system_score_gemma":0.00173428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009247221,"about_ca_topic_score_gemma":0.001439221,"domain_scores_codex":[0.9985597,0.0006387925,0.0001466234,0.0001812308,0.0002904252,0.0001831661],"domain_scores_gemma":[0.997232,0.001463134,0.0002137005,0.0001154594,0.0007085687,0.0002671537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002712707,0.01164149,0.06106153,0.01284218,0.0002167797,0.009001119,0.02245845,0.001271016,0.03240436,0.004669225,0.03143563,0.8102855],"study_design_scores_gemma":[0.004702195,0.07373164,0.2940776,0.01059256,0.003163218,0.03349386,0.05917042,0.01952538,0.05928557,0.005613752,0.4355143,0.001129485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8476665,0.004955383,0.07009912,0.002160479,0.000511754,0.04561309,0.002385134,0.002261012,0.02434754],"genre_scores_gemma":[0.7191579,0.005919164,0.192714,0.002336052,0.0001559712,0.05550719,0.001088767,0.0003322816,0.02278868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006431024,"threshold_uncertainty_score":0.02151388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2842561713345036,"score_gpt":0.5738694909877948,"score_spread":0.2896133196532912,"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."}}