Bibliographic record
Abstract
Cerebrovascular and cardiovascular diseases cause vascular brain injury that can lead to vascular cognitive impairment (VCI). VCI is the second most common neuropathology of dementia and mild cognitive impairment (MCI), accounting for up to one-third of the population risk. It is frequently present along with other age-related pathologies such as Alzheimer's disease (AD). Multiple etiology dementia with both VCI and AD is the single most common cause of later life dementia. There are two main clinical syndromes of VCI: post-stroke VCI in which cognitive impairment is the immediate consequence of a recent stroke and VCI without recent stroke in which cognitive impairment is the result of covert vascular brain injury detected only on neuroimaging or neuropathology. VCI is a syndrome that can result from any cause of infarction, hemorrhage, large artery disease, cardioembolism, small vessel disease, or other cerebrovascular or cardiovascular diseases. Secondary prevention of further vascular brain injury may improve outcomes in VCI.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".