{"id":"W4380996758","doi":"10.1007/978-3-031-35302-4_71","title":"The Extent of LGE-Defined Fibrosis Predicts Ventricular Arrhythmia Severity: Insights from a Preclinical Model of Chronic Infarction","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Medicine; Fibrosis; Cardiology; Ventricular tachycardia; Ejection fraction; Internal medicine; Myocardial infarction; Infarction; Cardiac fibrosis; Sudden cardiac death; Heart failure","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":[0.0002377404,0.0004610181,0.0004189218,0.0002368791,0.00009433668,0.0006516675,0.0002336724,0.0004212339,0.002574164],"category_scores_gemma":[0.0002771639,0.000186205,0.0002557015,0.0001837839,0.0002102877,0.0003219057,0.0001770067,0.0009454695,0.0006929084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765521,"about_ca_system_score_gemma":0.0001616746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003936942,"about_ca_topic_score_gemma":0.0007334292,"domain_scores_codex":[0.999962,0.000008819326,0.000001593355,0.00001010054,0.00001087329,0.000006695634],"domain_scores_gemma":[0.9998673,0.00006999742,0.00002466885,0.00001012174,0.000009859163,0.00001796336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004540134,0.00210865,0.05437756,0.0004809946,0.0002869341,0.001707873,0.000263057,0.007451279,0.6255571,0.01195053,0.0207731,0.2705028],"study_design_scores_gemma":[0.0005692706,0.01307123,0.638136,0.0005641514,0.0009415845,0.008178058,0.0005191133,0.1003932,0.1428453,0.05865106,0.03584186,0.0002890679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027748,0.01984783,0.04467886,0.003217957,0.0003511678,0.00008562946,0.003013015,0.0003934611,0.0256374],"genre_scores_gemma":[0.9488804,0.01302922,0.01369392,0.0006073505,0.0003124592,0.0001236615,0.001896515,0.00009311458,0.02136339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002574164,"threshold_uncertainty_score":0.0086115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139003190002775,"score_gpt":0.2631420395601274,"score_spread":0.2417520076600997,"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."}}