Effect of Aortic Distensibility on Coronary Flow: A 3D FSI Model of Aortic Valve With the Inclusion of Coronary Arteries
Bibliographic record
Abstract
Aortic stiffening and CAS are thought to affect coronary blood flow [1,2]. Pathological conditions such as aortic aneurysm, aortic wall stiffening and calcific aortic stenosis (CAS) will affect the distensibility of the aortic root and therefore the hemodynamics of the region. Reduced aortic distensibility (i.e. increased aortic stiffness) via presence of pathologies such as severe CAS results in a decrease of diastolic backflow. This reduction will cause less flow to enter the coronaries [2,3,4] and therefore reduce the amount of oxygen delivered to myocardium. This reduction of coronary flow can be explained by the concomitance of reduced myocardial supply as a result of decreased coronary perfusion pressure, and increased myocardial metabolic demand.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".