{"id":"W3100215257","doi":"10.1161/circ.142.suppl_3.14246","title":"Abstract 14246: Automated Detection of Arrhythmogenic VT Substrate: Performance of a 2019 HRS VT Consensus Document Recommended Strategy","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Ventricular tachycardia; Ablation; Receiver operating characteristic; Catheter ablation; Sensitivity (control systems); Algorithm; Cardiology; Internal medicine; Computer science","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":[0.01749822,0.0008597969,0.0007808838,0.002531222,0.0005332861,0.001907935,0.001854946,0.002403158,0.003426447],"category_scores_gemma":[0.02903381,0.0002580212,0.0008410633,0.0008016454,0.0005161136,0.0007592063,0.001052264,0.0007825192,0.003327546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505493,"about_ca_system_score_gemma":0.003440058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468032,"about_ca_topic_score_gemma":0.003978098,"domain_scores_codex":[0.9898221,0.00364877,0.002117328,0.0006170985,0.003538601,0.0002560737],"domain_scores_gemma":[0.9694116,0.005325088,0.002649981,0.001226554,0.02058663,0.0008002321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002294459,0.0005844799,0.0789165,0.003228094,0.0005886849,0.001240837,0.00045638,0.01327287,0.01792606,0.003300707,0.230254,0.6479369],"study_design_scores_gemma":[0.002025214,0.005787771,0.3566229,0.008332025,0.002297577,0.008253065,0.001193088,0.2049117,0.06689389,0.01133985,0.3317054,0.0006374683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2658414,0.02882291,0.4654705,0.04823786,0.004428053,0.01029291,0.02273027,0.007659313,0.1465168],"genre_scores_gemma":[0.6228121,0.00431256,0.3204078,0.004435562,0.001408613,0.003317052,0.02858881,0.0008161215,0.01390146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01749822,"threshold_uncertainty_score":0.0925405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352238390205523,"score_gpt":0.2718839735975198,"score_spread":0.2483615896954645,"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."}}