Bibliographic record
Abstract
Epicardial mapping and ablation of cardiac arrhythmias has been an important development in interventional electrophysiology. The fibrous and serous pericardia are separated by a space that permits introduction of a guide wire using a subxiphoid percutaneous approach. There are two major sinuses in the pericardial space. A sheath advanced over the guide wire provides a mean to introduce one or more catheters or probes to perform mapping and ablation epicardially. Atrial arrhythmias that require epicardial mapping and ablation include unusual types of atrial tachycardia or accessory pathways. In patients with atrial fibrillation or atypical atrial flutter, epicardial mapping and ablation may be required to obtain isolation or elimination of atrial substrate. In patients with ischemic heart disease and left ventricular dysfunction, as well as in patients with dilated cardiomyopathy, or with infiltrative or unusual forms of heart disease, ventricular tachycardia may originate epicardially or require epicardial mapping prior to performing endocardial ablation. There are numerous considerations requiring safety and management of patients undergoing epicardial mapping and ablation. Newer surgical and hybrid procedures, from the collaboration of electrophysiology and surgery, may also provide new approaches to performing interventional electrophysiology procedures that may require epicardial mapping and ablation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.014 |
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".