{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007885496,0.0001251185,0.0003505073,0.0003488977,0.0004548371,0.00001099806,0.00009963538,0.000167976,0.00002324975],"category_scores_gemma":[0.0002232682,0.00009644886,0.00001344964,0.000297265,0.00008781833,0.0001406058,0.000224237,0.0007596085,0.00002097122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004075059,"about_ca_system_score_gemma":0.0009867216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171122,"about_ca_topic_score_gemma":0.00007399818,"domain_scores_codex":[0.9962467,0.00169665,0.0007030568,0.0002786054,0.0002804869,0.0007945336],"domain_scores_gemma":[0.995001,0.00444211,0.00007902461,0.0001251269,0.0001455456,0.0002072054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001946735,0.001136341,0.4386002,0.008141898,0.0002565426,0.00007101077,0.4517238,0.0001369044,0.00005902294,0.01079415,0.01260387,0.07452954],"study_design_scores_gemma":[0.004133502,0.00496279,0.8502629,0.001211416,0.00001197888,0.00000463562,0.117333,0.00852424,0.00007996682,0.00248553,0.01072819,0.000261804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990419,0.0006480546,0.002587222,0.0001311989,0.0001412271,0.005482856,0.00002720091,0.00003409271,0.0005291434],"genre_scores_gemma":[0.9945642,0.0001142394,0.001369075,0.00004498187,0.00002782098,0.003721367,0.00001397541,0.00001227027,0.0001320947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4116628,"threshold_uncertainty_score":0.393307,"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."}}