Bibliographic record
Abstract
ARTICLE Success is going from failure to failure without a loss of enthusiasm Winston Churchill (1874–1965) British politician and statesman Cardiovascular disease (CVD) is the most common and one of the most preventable causes of death worldwide. The incident risk of stroke, myocardial infarction and peripheral vascular disease vary among ethnic groups. For example, individuals with African or Caribbean background have a high incidence of stroke and end-stage renal failure compared with Caucasians. On the other hand, South Asians have higher incidence of CVD.1,2 The recently published guidelines for the primary stroke prevention highlighted the increased age-adjusted prevalence of stroke in Asian (1.8%/100 000), Blacks (4.6%/100 000) and Hispanics (1.9%/100 000) compared with whites.3 The underlying causes of these disparities are not well understood. Differences in dietary and genetic factors, prevalence of hypertension, diabetes, or …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".