{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171826,0.0002652042,0.0002120351,0.001630639,0.0002918844,0.0004441149,0.0004289383,0.0002446134,0.0005919574],"category_scores_gemma":[0.002263505,0.0002999476,0.0001940225,0.0009091066,0.000127049,0.0003241932,0.0004083817,0.0003474751,0.0001268317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004544028,"about_ca_system_score_gemma":0.0006650017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01930931,"about_ca_topic_score_gemma":0.03173282,"domain_scores_codex":[0.9994403,0.0001533287,0.00006275677,0.0001561853,0.0001044964,0.0000829971],"domain_scores_gemma":[0.9970317,0.0002928229,0.00127832,0.0002442162,0.0008272029,0.0003256861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002326818,0.00001862452,0.9986753,0.000007823764,0.00001647442,0.00002904196,0.00005549671,0.00003043908,0.0001131521,0.000009412939,0.0002590134,0.0007619332],"study_design_scores_gemma":[0.000004325729,0.00003657763,0.9993455,0.000005419433,0.00001112616,0.0001025535,0.00009844619,0.0001497563,0.00004605841,0.000004988384,0.0001938303,0.000001533529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969319,0.0002052522,0.0001996766,0.0000362445,0.000005513747,0.00003887396,0.00215205,0.00001222568,0.0004183608],"genre_scores_gemma":[0.9952255,0.0002116125,0.000394764,0.00003205171,0.00001320595,0.00005212244,0.00390506,0.0000033005,0.0001623311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01930931,"threshold_uncertainty_score":0.03839386,"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."}}