{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002623943,0.0001267762,0.0006559406,0.0002892274,0.00006937629,0.00001029554,0.00002873824,0.0002325373,0.00002435976],"category_scores_gemma":[0.0001401488,0.0001128355,0.0004285881,0.0003477019,0.0001440643,0.0000561693,0.00003531836,0.0002850601,0.000004898431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002891655,"about_ca_system_score_gemma":0.00003262189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001367836,"about_ca_topic_score_gemma":0.000003572624,"domain_scores_codex":[0.9990095,0.0001143064,0.0002307504,0.0003306515,0.00008070741,0.0002340074],"domain_scores_gemma":[0.9993826,0.0002569606,0.00004777659,0.0001451072,0.0001016448,0.00006594668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005238095,0.00007331842,0.6273299,0.001363041,0.08711427,0.01154032,0.0009846753,0.03582614,0.06687075,0.001307589,0.001057358,0.1612946],"study_design_scores_gemma":[0.001700612,0.002025264,0.9178878,0.0000553707,0.007652901,0.007974166,0.000138203,0.05966917,0.000557751,0.000117073,0.002044699,0.0001770025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225824,0.005853764,0.07051779,0.0001798705,0.0002132183,0.0002675408,0.00004050544,0.00008487233,0.0002599942],"genre_scores_gemma":[0.9981675,0.0002754171,0.0005079542,0.00004822733,0.0003272239,0.0000393902,0.0003286961,0.00001838931,0.000287177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2905579,"threshold_uncertainty_score":0.4601298,"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."}}