Bibliographic record
Abstract
Vascular cognitive impairment (VCI) is the modern term related to vascular burden of the brain,reflecting all encompassing effects of cerebrovascular disease (CVD) on cognition. VCI include all levels of cognitive decline from mild deficits in one or more cognitive domains to a broad dementia-like syndrome. VCI incorporates the complex interactions between vascular risk factors, CVD etiologies and cellular changes within the brain and cognition. Vascular risk factors towards VCI include,e.g. arterial hypertension, high cholesterol, and diabetes. VCI includes the common poststroke dementia and vascular dementia (VaD). The main subtypes of VaD include the cortical VaD or multi-infarct dementia also referred as poststroke VaD and subcortical ischemic vascular disease and dementia or small vessel dementia. Traditional vascular risk factors and stroke are also independent factors for the clinical presentation of Alzheimer's disease. In addition to these vascular factors, CVD/strokes, infarcts and white matter lesions may trigger and modify progression of Alzheimer's disease.Whilst CVD is preventable and treatable, it clearly is a major factor in the prevalence of cognitive impairment in the elderly worldwide.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".