{"id":"W2521370021","doi":"10.4236/jbise.2016.910044","title":"Novel Automated Paced Fractionation Detection Algorithm for Ablating Ventricular Tachycardia","year":2016,"lang":"en","type":"article","venue":"Journal of Biomedical Science and Engineering","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Fractionation; Ventricular tachycardia; Medicine; Catheter ablation; Ablation; Catheter; Computer science; Biomedical engineering; Cardiology; Surgery; Chromatography; Chemistry","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":[0.0004661817,0.0005785487,0.0006090301,0.001122046,0.0003050356,0.0006591207,0.0008109531,0.0007131491,0.001282964],"category_scores_gemma":[0.001123486,0.0002431023,0.0004383898,0.0004715795,0.0001636718,0.0004167358,0.0004848625,0.0003811491,0.0006346621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275507,"about_ca_system_score_gemma":0.0005405729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414838,"about_ca_topic_score_gemma":0.001850548,"domain_scores_codex":[0.9996087,0.00004669405,0.00004180538,0.0001290302,0.0001403482,0.00003336837],"domain_scores_gemma":[0.9996037,0.0001346678,0.0000494773,0.00003734205,0.0001510492,0.00002379235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003633164,0.0001175363,0.004391785,0.00005726737,0.00004818935,0.0002109563,0.00008638157,0.01619862,0.07599306,0.0007061964,0.00312054,0.8987062],"study_design_scores_gemma":[0.0001174808,0.0001963221,0.0121519,0.00002188334,0.00007285973,0.001273948,0.00002575519,0.9446356,0.03350773,0.001619642,0.006325493,0.0000514302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03752485,0.0003950938,0.9576821,0.00005618347,0.00004175643,0.00008884478,0.0001206422,0.003488894,0.0006015464],"genre_scores_gemma":[0.2220895,0.0002100648,0.7748037,0.000142246,0.00005765516,0.0001720274,0.0005530223,0.0002158067,0.001756008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001414838,"threshold_uncertainty_score":0.004291952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006866062455242778,"score_gpt":0.2551789091060528,"score_spread":0.2483128466508101,"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."}}