{"id":"W4283581528","doi":"10.1016/j.hroo.2022.06.008","title":"Integration of 3D nuclear imaging in 3D mapping system for ventricular tachycardia ablation in patients with implanted devices: Perfusion/voltage retrospective assessment of scar location","year":2022,"lang":"en","type":"article","venue":"Heart Rhythm O2","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"St. Jude Medical; Pfizer; Institut de Cardiologie de Montréal; Servier; Boston Scientific Corporation; Abbott Laboratories","keywords":"Medicine; Ventricular tachycardia; Ablation; Nuclear medicine; Catheter ablation; Perfusion; Myocardial perfusion imaging; Spect imaging; Radiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000917825,0.000290123,0.0002752552,0.0007788427,0.0001314688,0.000579292,0.000225569,0.000333397,0.0009790335],"category_scores_gemma":[0.002264148,0.0002303002,0.0002283775,0.0003266057,0.0002078516,0.0003109628,0.000456245,0.0002118272,0.0002553974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510381,"about_ca_system_score_gemma":0.0001987257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006992062,"about_ca_topic_score_gemma":0.001172707,"domain_scores_codex":[0.9996294,0.0001603673,0.00004382974,0.00005433257,0.00008490193,0.00002714682],"domain_scores_gemma":[0.9993989,0.0002487668,0.0001110436,0.00007149659,0.0001151487,0.0000545661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001804682,0.0001048381,0.786261,0.0002050545,0.0001189133,0.003476225,0.000612637,0.004439863,0.08165503,0.0003383485,0.0007468908,0.1202364],"study_design_scores_gemma":[0.00009244056,0.001150228,0.8805546,0.00009806007,0.0002906432,0.01927574,0.0004980342,0.0605631,0.03398204,0.0004845977,0.002932489,0.0000780128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799059,0.0007822394,0.01774106,0.00008386151,0.00001033875,0.00004487131,0.0001854314,0.00009856548,0.001147686],"genre_scores_gemma":[0.9903776,0.0002730668,0.008997534,0.00002255103,0.00001170548,0.00003405338,0.000122901,0.00001890857,0.0001416647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009790335,"threshold_uncertainty_score":0.004853964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006965201623070517,"score_gpt":0.2467876213224299,"score_spread":0.2398224196993594,"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."}}