Porcine Left Atrial Wall Stress After Ventricular Tachypacing Mimicking the Effects of Early Atrial Fibrillation
Bibliographic record
Abstract
Atrial Fibrillation (AF) is the cardiac arrhythmia most commonly encountered in clinical practice. Current statistics referring to the US population indicate a prevalence of AF up to 2.2 million people, projected to increase to 2.66 million by the end of 2010. AF has a high impact on society in terms of human costs, with an annual mortality rate of 11,438 patients. AF also increases the risk of ischemic stroke at least by a factor of 4 and it is responsible for at least 15% of all ischemic strokes, which represent the main cause of long-term disability and one of the main contributors to health care costs [1]. AF results from the synergic action of electrophysiological, biochemical and structural remodeling. Ventricular tachypacing (VTP) has been successfully used in animal models to reproduce relevant features observed in patients suffering from AF, such as ion-channel alterations, fibrosis development and atrial dilatation [2] [3].
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".