Indications to Ventricular Tachycardia/Ventricular Fibrillation Ablation and Hybrid Therapy
Bibliographic record
Abstract
This chapter contains sections titled: Indications for ablation of idiopathic right ventricle/left ventricle ventricular tachycardia Ventricular tachycardia originating from the aortic sinus of Valsalva Left ventricle fascicular ventricular tachycardia Other left ventricle ventricular tachycardia Recommendations Indications for ablation of nonischemic ventricular tachycardia Nonischemic dilated cardiomyopathy Arrhythmogenic right ventricular cardiomyopathy Hypertrophic cardiomyopathy Cardiac sarcoidosis Chagas disease Idiopathic ventricular fibrillation and other congenital syndromes Wolff-Parkinson-White syndrome Premature ventricular complexes Conclusions Recommendations Indications for ablation of ischemic ventricular tachycardia Indications for ablation of monomorphic ventricular tachycardia after myocardial infarction Recommendations Indications for ablation of ventricular fibrillation and electrical storm Electrical storm due to monomorphic ventricular tachycardia Recommendations Electrical storm due to polymorphic ventricular tachycardia or ventricular fibrillation Recommendations Hybrid therapy: ablation and ICD Recommendations References
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".