{"id":"W2228730863","doi":"10.1016/j.cjca.2015.07.598","title":"VALIDATION OF NOVEL ALGORITHM TO AUTOMATE DETECTION OF FRACTIONATED ELECTROGRAMS DURING VENTRICULAR TACHYCARDIA (VT) ABLATION","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Rheumatology Association","funders":"","keywords":"Medicine; Ventricular tachycardia; Ablation; Cardiology; Internal medicine; Algorithm; Tachycardia; Catheter ablation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00112369,0.0006562127,0.0006625386,0.001030024,0.0003608686,0.001158455,0.000798999,0.001245925,0.001347295],"category_scores_gemma":[0.003195822,0.000206826,0.0004408653,0.0003294183,0.0001553394,0.000514767,0.0005297182,0.0005009481,0.0008027151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921712,"about_ca_system_score_gemma":0.0008224592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106991,"about_ca_topic_score_gemma":0.002631336,"domain_scores_codex":[0.9993107,0.0001266181,0.00007269036,0.0002225757,0.0002011652,0.00006617473],"domain_scores_gemma":[0.998701,0.0005256265,0.00008010075,0.0000802399,0.0005574461,0.00005562398],"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":[0.001680624,0.0004901536,0.02757753,0.0002326333,0.000298286,0.0004554856,0.0001105383,0.0291328,0.1188578,0.001088363,0.004300469,0.8157753],"study_design_scores_gemma":[0.0002006778,0.0006014133,0.02502394,0.00004695665,0.0001620121,0.00171296,0.0000500295,0.9083275,0.05952502,0.0006892265,0.003613609,0.0000465537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1879941,0.001435034,0.8023139,0.0002498112,0.0003104583,0.0002657961,0.000581152,0.005083258,0.001766589],"genre_scores_gemma":[0.5333796,0.0003672353,0.4626922,0.0002150075,0.0001034166,0.0002280638,0.00103365,0.0001554223,0.001825465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002106991,"threshold_uncertainty_score":0.005942762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140562182892836,"score_gpt":0.2437958547813581,"score_spread":0.2323902329524297,"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."}}