In Vivo Investigation of a Rabbit Model of Aortic Valve Disease
Bibliographic record
Abstract
Aortic valve sclerosis (AVS) is a vascular disease affecting more than 25% of the population over age 65; it advances to lethal aortic stenosis in 5% of people over age 75. Despite significant clinical consequences, no effective treatment exists other than surgical AV replacement. Long‐term low‐level cholesterol feeding in New Zealand White rabbits results in the development of AVS. In vivo magnetic resonance imaging (MRI) and ex vivo ultrasound and histological analysis were used to examine our rabbit model of AV disease. Our MRI technique allows for the examination of individual subjects in vivo. Aortic valve cusps were observed to thicken over time and diseased valves displayed regurgitant flow after 15 months on the cholesterol diet. Histological analysis of diseased valves revealed AVS with human‐like pathological characteristics including extensive thickening, lipid deposition, mineralization, and immune cell infiltration. This rabbit model, coupled with our MRI technique, allows for the serial examination of AV disease progress in individual animals, thereby enabling the investigation of disease treatments including dietary control or statin therapy. Funded by the Heart and Stroke Foundation of Ontario.
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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 | 0.003 | 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 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".