{"id":"W4391317825","doi":"10.1161/circep.123.012338","title":"Artificial Intelligence Model Predicts Sudden Cardiac Arrest Manifesting With Pulseless Electric Activity Versus Ventricular Fibrillation","year":2024,"lang":"en","type":"article","venue":"Circulation Arrhythmia and Electrophysiology","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Pulseless electrical activity; Ventricular fibrillation; Cohort; Receiver operating characteristic; Defibrillation; Internal medicine; Cardiology; Sudden cardiac arrest; Logistic regression; Cardiopulmonary resuscitation; Emergency medicine; Resuscitation","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":[0.003148039,0.0008577307,0.0005314595,0.001054385,0.0002754739,0.0009936151,0.0005249862,0.0006223901,0.001408486],"category_scores_gemma":[0.008447608,0.000163082,0.0006710546,0.0003315725,0.0002839454,0.0003741026,0.0004903157,0.0009362489,0.0004264796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818947,"about_ca_system_score_gemma":0.0006116483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985806,"about_ca_topic_score_gemma":0.002223957,"domain_scores_codex":[0.9994833,0.000210124,0.00003715385,0.0001285578,0.00007048355,0.00007027508],"domain_scores_gemma":[0.9951473,0.003554955,0.0003844243,0.0001278082,0.0005719286,0.0002135364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001062485,0.001093854,0.5344388,0.0001110925,0.0006103851,0.0004808815,0.0001894332,0.3999645,0.001814918,0.0005233311,0.004587119,0.05512317],"study_design_scores_gemma":[0.00002890927,0.0003073708,0.03116315,0.00002395134,0.00008528421,0.0001209729,0.00003888654,0.9668671,0.0004457035,0.0006422459,0.0002633606,0.00001293598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750231,0.0003369131,0.0214334,0.0006418003,0.0001025476,0.00009585855,0.0004494723,0.0002404104,0.001676645],"genre_scores_gemma":[0.9960479,0.00006203834,0.002852919,0.00009118142,0.00002368101,0.00002702452,0.0005251965,0.0000077021,0.0003623726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003985806,"threshold_uncertainty_score":0.01664859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857197169039587,"score_gpt":0.2679593731177276,"score_spread":0.2493874014273317,"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."}}