{"id":"W3037758419","doi":"10.2196/20071","title":"Improving Diagnostic Classification of Stillbirths and Neonatal Deaths Using ICD-PM (International Classification of Diseases for Perinatal Mortality) Codes: Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pediatrics; Diagnosis code; Medical diagnosis; ICD-10; Neonatal death; Psychological intervention; Pregnancy; Population; Environmental health; Fetus","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":[0.03046794,0.0008060195,0.0005240124,0.002128142,0.0005745148,0.0008583512,0.00167693,0.0007164635,0.0008488412],"category_scores_gemma":[0.05791625,0.0004986754,0.001245916,0.001670594,0.0007991528,0.0009768645,0.001725704,0.0009431869,0.0005541247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099455,"about_ca_system_score_gemma":0.003046636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009919808,"about_ca_topic_score_gemma":0.009479045,"domain_scores_codex":[0.9862081,0.00789381,0.001647927,0.001559915,0.001950029,0.0007402254],"domain_scores_gemma":[0.9456463,0.02002988,0.008032731,0.008839532,0.01640269,0.001048987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001751472,0.0002798621,0.9912738,0.00006065177,0.0001063682,0.00004716354,0.0004050558,0.0002221615,0.0002476014,0.0000505685,0.0003613268,0.006770141],"study_design_scores_gemma":[0.00008188837,0.0004445369,0.9921185,0.0000883985,0.0001928537,0.0002141002,0.0006903104,0.003928177,0.0007537319,0.00007339194,0.001394664,0.00001938187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994118,0.0001717544,0.002963433,0.00006094215,0.00004001256,0.0006341265,0.00137449,0.00001708763,0.0006201855],"genre_scores_gemma":[0.9875205,0.0001762564,0.005405447,0.00008788281,0.00003388136,0.0005202879,0.005967822,0.00002109371,0.000266794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03046794,"threshold_uncertainty_score":0.1611318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06496487373645282,"score_gpt":0.37068890049646,"score_spread":0.3057240267600072,"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."}}