Dr. Salim Yusuf: A Critical Look at Cardiovascular Disease
Bibliographic record
Abstract
Dr. Salim Yusuf, MD DPhil (Oxford), is a Professor of Medicine (Cardiology) and Clinical Epidemiology & Biostatistics at McMaster University. He is the director of the Population Health Research Institute and the Vice-President of Research and Chief Scientifc Officer, Hamilton Health Sciences. He was elected fellow of the Royal Society of Canada, and also holds a Research Chair in Cardiology from the Heart and Stroke Foundation of Ontario. His recent research interests include societal, biologic and genetic determinants of population health in developing populations, specifically in the realm of cardiovascular disease. Dr. Yusuf is regarded as a pioneer in cardiovascular disease research and epidemiology in general. By conducting ambitious, multinational studies, he has been able to take fundamental questions and ask them on a global scale. His studies have involved over 83 countries in all inhabited continents of the world.
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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 | 0.013 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".