{"id":"W4392505315","doi":"10.1001/jamacardio.2024.0039","title":"Deep Learning–Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome","year":2024,"lang":"en","type":"article","venue":"JAMA Cardiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; BC Children's Hospital; Queen's University; Université Laval; University of Alberta; Université de Montréal; Montreal Heart Institute; McGill University Health Centre; Sunnybrook Health Science Centre; Health Sciences Centre; University of British Columbia","funders":"","keywords":"Medicine; Long QT syndrome; QT interval; Internal medicine; Cardiology; Cohort; Electrocardiography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007379928,0.0005531339,0.0003511207,0.0007435371,0.0001051378,0.0003314536,0.0004008991,0.0003870446,0.0007267715],"category_scores_gemma":[0.00318789,0.0001451017,0.0003463905,0.0004162441,0.0001323422,0.0002442309,0.0004119343,0.0005252145,0.0001904934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003998816,"about_ca_system_score_gemma":0.0003825511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006622523,"about_ca_topic_score_gemma":0.008562398,"domain_scores_codex":[0.9997264,0.00009731685,0.00002836293,0.00006604699,0.00005088514,0.00003101961],"domain_scores_gemma":[0.9991567,0.0004180953,0.0001412731,0.00008066915,0.0001520046,0.00005128523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001759204,0.0007691844,0.4239112,0.0002227128,0.0007678985,0.0006797101,0.00009253525,0.197132,0.01463321,0.0007760009,0.008034647,0.3512217],"study_design_scores_gemma":[0.0000412485,0.0001434625,0.04631741,0.00002411416,0.00007298232,0.000151595,0.00001902783,0.9490881,0.002628405,0.0008760598,0.0006239587,0.00001367647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400582,0.001604542,0.05275653,0.0008009467,0.00008447062,0.00004372193,0.002699869,0.0006687419,0.001283014],"genre_scores_gemma":[0.9872805,0.0002943876,0.009519534,0.00008313481,0.00003691217,0.00002002802,0.002259798,0.00001070785,0.0004949498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006622523,"threshold_uncertainty_score":0.01316798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065196020103158,"score_gpt":0.2490610783354436,"score_spread":0.2384091181344121,"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."}}