Vascular Endothelial Dysfunction, Cognition and Stroke in Early Life Study (VECSELS)
Bibliographic record
Abstract
Arterial ischemic stroke and impairments to cognitive function are rising in children with stroke risk conditions such as congenital heart disease (CHD). Gaining a better understanding at these mechanisms of injury provides an opportunity to address ischemic risk in children with CHD. The first study in this dissertation utilized hemispheric apparent diffusion coefficient (ADC) to measure perfusion related injury in pediatric stroke patients with a history of CHD. The findings showed a range of ADC values with the highest in the ipsilesional hemisphere, with lower values in the matched contralesional hemisphere, and the lowest values in control participants. The second study investigated vascular endothelial function in patients with CHD using cerebrovascular BOLD-MRI as an indicator of cerebrovascular health. Patients in the CHD group had worse cerebrovascular reactivity compared to healthy controls, and this was correlated to cognitive functioning. Overall, these findings suggest perfusion related injury may be associated with the cognitive impairments seen in children with stroke risk conditions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".