Developing a global fluid-structure interaction model of the aortic root
Bibliographic record
Abstract
According to statistics released by the Public Health Agency of Canada, circulatory system disease accounted for one-third of all deaths in Canada (71,749 deaths) in 2005.It remains the leading cause of hospitalization in the country, accounting for 14 per cent of the total.In Canada, the total costs for three types of circulatory disease (coronary heart disease, stroke, and hypertensive heart disease) were estimated to be $21 billion in 2005.Since more than 80 percent of circulatory system deaths in Canada and high income countries are due to diseases of the aortic valve, coronary arteries and the blood vessels supplying the brain, greater attention should be put on the function of the aortic root and its adjacent structures.The decline in the mortality rate associated with the circulatory system diseases is attributed to medical and engineering advances to develop new diagnostic and prognostic tools using in-vivo, in-vitro and numerical studies.However, as the numerical methods are less expensive and more flexible in applying geometrical and hemodynamic variations, they have gained considerable attention in assessing the hemodynamic conditions associated with cardiovascular diseases.In recent clinical studies, it was established that regional pathologies of the aortic valve can
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 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".