Bibliographic record
Abstract
Professor Paul Zimmet was the Foundation Director of the International Diabetes Institute, which merged with the Baker IDI Heart and Diabetes Institute in 2008 to create the largest diabetes and cardiovascular disease institute in the Southern Hemisphere. He is co-chair of the International Diabetes Federation (IDF) Task Force on Epidemiology and Prevention. He is also the Director Emeritus of the Baker IDI Heart and Diabetes Institute (Melbourne, Australia). Professor Zimmet served on the Australian Government Executive Committee for the Prevention of Type 2 diabetes and since 2008 has been involved with the Australian Labor Government’s Prevention Taskforce for Obesity, Tobacco and Alcohol. Numerous awards have been given in recognition of Professor Zimmet’s work, including awards from the American Diabetes Association, the European Association for the Study of Diabetes, Diabetes UK, the Australian Diabetes Society and the Canadian Diabetes Association. In 2007, he received the international Novartis Aw...
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".