{"id":"W3195414453","doi":"10.1016/j.cjca.2021.08.005","title":"Deep Learning Algorithm Predicts Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead Electrocardiogram","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Circumflex; Stenosis; Artery; Right coronary artery; Population; Algorithm; CAD; Coronary arteries; Radiology; Coronary angiography; Myocardial infarction","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":[0.0003628269,0.0001682939,0.0007569967,0.0008683542,0.0001253688,0.00003102611,0.00009101271,0.0001270523,0.0000120065],"category_scores_gemma":[0.0002858473,0.0001681477,0.0005478265,0.0006036178,0.00009972325,0.0001021687,0.00001365034,0.0006056527,0.000001399377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003886168,"about_ca_system_score_gemma":0.002496393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004438051,"about_ca_topic_score_gemma":0.001013503,"domain_scores_codex":[0.9981749,0.0003174871,0.0004420122,0.0002262974,0.0002633535,0.0005759416],"domain_scores_gemma":[0.9981535,0.00005496631,0.0001533412,0.0001920117,0.0005010255,0.0009451522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001017787,0.000008003776,0.9512081,0.00001935738,0.000676149,0.006213102,0.00006797086,0.007005008,0.00005469485,0.000001267144,0.0001790673,0.03446556],"study_design_scores_gemma":[0.002452217,0.0007519169,0.9776534,0.0003262511,0.001074183,0.001479091,0.0003672512,0.003424586,0.00002799964,0.00007926074,0.01213232,0.0002315231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776933,0.006689918,0.01435779,0.0001437671,0.0005841817,0.00009952657,0.00003252927,0.00001129613,0.0003876989],"genre_scores_gemma":[0.9971033,0.0003790217,0.0014636,0.00007504001,0.0008301577,0.000001812671,0.00005702543,0.00002722571,0.0000628709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03423404,"threshold_uncertainty_score":0.6856864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009777545829343218,"score_gpt":0.2287046694403075,"score_spread":0.2189271236109643,"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."}}