{"id":"W4402905078","doi":"10.1016/j.cjca.2024.09.018","title":"Deep Learning-based 12-Lead Electrocardiogram for Low Left Ventricular Ejection Fraction Detection in Patients","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Ejection fraction; Cardiology; Internal medicine; Lead (geology); Heart failure","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":[0.0003788545,0.00009654056,0.000361949,0.0009803822,0.00007764075,0.00002569214,0.0000378739,0.0001602469,0.00000385651],"category_scores_gemma":[0.0002981343,0.00009043031,0.0004041551,0.0002673952,0.00002489128,0.00006514777,0.000001328897,0.0004676301,0.000004744007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006392631,"about_ca_system_score_gemma":0.000326666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003250371,"about_ca_topic_score_gemma":0.0007442301,"domain_scores_codex":[0.999099,0.0001125947,0.0002719284,0.000141358,0.0001107449,0.0002644364],"domain_scores_gemma":[0.9993603,0.0000693098,0.00008401948,0.00007305118,0.0002163792,0.0001969809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002099151,0.000008140393,0.8267603,0.0001049852,0.0005652566,0.0002974092,0.00003182354,0.06279645,0.0005634333,0.000001247922,0.0003447847,0.1083163],"study_design_scores_gemma":[0.00483334,0.006531307,0.6985372,0.0006610939,0.002040009,0.0008059518,0.000315049,0.07058893,0.006277284,0.0001654353,0.2087674,0.0004770708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.712037,0.001576442,0.2835437,0.0002280394,0.002092382,0.0002169396,0.000002172484,0.00002621439,0.0002771076],"genre_scores_gemma":[0.9983521,0.00003416066,0.00008838749,0.00002722318,0.001414341,0.000005502402,0.0000186425,0.00001832229,0.00004129989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2863151,"threshold_uncertainty_score":0.3687641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005859847743015856,"score_gpt":0.2308313080647705,"score_spread":0.2249714603217546,"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."}}