{"id":"W4311903362","doi":"10.1016/j.hrthm.2022.10.020","title":"Wave tail mapping to guide ablation therapy for ventricular arrhythmias","year":2022,"lang":"en","type":"article","venue":"Heart Rhythm","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"NIHR Barts Biomedical Research Centre, Queen Mary University of London; University College London; British Heart Foundation; National Institute for Health and Care Research","keywords":"Repolarization; Wavefront; Medicine; Depolarization; Ventricular tachycardia; Cardiology; Internal medicine; Sinus rhythm; Ablation; Catheter ablation; Electrophysiology; Atrial fibrillation; Physics","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":[0.000654293,0.0004151515,0.0002941203,0.0008756733,0.0003086322,0.00164831,0.0002463115,0.0009940971,0.002472674],"category_scores_gemma":[0.003675426,0.0001901874,0.000262795,0.0002490344,0.0004878932,0.00138225,0.0004207733,0.001755204,0.001818044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561538,"about_ca_system_score_gemma":0.0004361261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006764557,"about_ca_topic_score_gemma":0.001377509,"domain_scores_codex":[0.9998577,0.00004618462,0.00001724342,0.00002469959,0.00003378227,0.00002045818],"domain_scores_gemma":[0.998947,0.0006371341,0.00008148781,0.0001041969,0.0001405515,0.00008974403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002046472,0.0002244002,0.03403211,0.0005484533,0.0001394291,0.009219903,0.0007077863,0.003209002,0.1713381,0.005837673,0.0147827,0.7579141],"study_design_scores_gemma":[0.001180536,0.005651959,0.1262178,0.003507235,0.001181912,0.1340893,0.001231813,0.2399413,0.2820973,0.0591295,0.1453602,0.0004113605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2178631,0.01225328,0.7112629,0.003730377,0.001457738,0.0002460299,0.0003991196,0.003242218,0.04954533],"genre_scores_gemma":[0.8535237,0.00519346,0.1277339,0.002888486,0.001008059,0.0001250772,0.0001865978,0.0006929373,0.008647731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002472674,"threshold_uncertainty_score":0.008271873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498852616169269,"score_gpt":0.2755542241505115,"score_spread":0.2505656979888188,"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."}}