{"id":"W2981645284","doi":"10.1161/circulationaha.117.033427","title":"Prospective Countywide Surveillance and Autopsy Characterization of Sudden Cardiac Death","year":2018,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":270,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; National Institutes of Health; St. Jude Medical; Biosense Webster; ZOLL Medical Corporation; Centers for Disease Control and Prevention; Biogen","keywords":"Medicine; Autopsy; Sudden cardiac death; Medical examiner; Incidence (geometry); Cause of death; Emergency medicine; Medical record; Sudden death; Pediatrics; Medical emergency; Poison control; Internal medicine; Injury prevention; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153393,0.00005940095,0.0001566873,0.00005485842,0.00004825869,0.000009120017,0.00001168668,0.00005366222,0.0000106883],"category_scores_gemma":[0.00006353112,0.00005526223,0.00003805564,0.0001292962,0.00006359716,0.00009110626,0.000007772351,0.00003375559,0.000007057804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004117908,"about_ca_system_score_gemma":0.00003678616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002160651,"about_ca_topic_score_gemma":0.000002586365,"domain_scores_codex":[0.999479,0.00002724978,0.0001345814,0.000139222,0.0001467801,0.00007319841],"domain_scores_gemma":[0.9994861,0.00002191273,0.00008305008,0.0001097869,0.0002654194,0.0000337051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004166911,0.00000925341,0.8392456,0.00003410035,0.00002558899,3.736751e-7,0.0004483406,0.000001050569,0.1582024,0.0005881326,0.000008786023,0.001394734],"study_design_scores_gemma":[0.0003298457,0.0000208557,0.9949,0.00003508416,0.00003254386,0.000001792358,0.00002567066,0.0006139513,0.003556791,0.0001682044,0.0002596681,0.00005553673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958854,0.00004479612,0.001255824,0.00008180842,0.0005007977,0.0003374871,0.00001205887,0.00003180324,0.001849979],"genre_scores_gemma":[0.9992676,0.00002386349,0.00007623097,0.00002061585,0.0004386674,0.000008023679,0.0001312314,0.000009240513,0.0000245398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1556545,"threshold_uncertainty_score":0.2253528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009341931043604923,"score_gpt":0.2550813465543759,"score_spread":0.245739415510771,"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."}}