Bibliographic record
Abstract
Current Opinion in Endocrinology and Diabetes was launched in 1994, with Obesity added to the title in 2007. It is one of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The fields of endocrinology and diabetes are divided into 12 sections that are reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce one of the Journal's Section Editor for this issue. SECTION EDITOR Dan StrejaDan StrejaDr Dan Streja is Clinical Professor of Medicine at David Geffen School of Medicine at UCLA, Department of Medicine Section of Endocrinology, USA. Dr Streja received his MD from the Carol Davilla School of Medicine in Bucharest, Romania. He trained in internal medicine in Canada and subsequently undertook a fellowship in endocrinology sponsored by the Ontario Heart Foundation for studies in lipid metabolism. He taught medicine and physiology at the University of Manitoba, Canada, where he served as the Director of the diabetes clinic. He moved to the United States in 1979 and taught at UCLA since. He is a member of the American Heart Association and of the American Diabetes Association, and he is a fellow of the Royal College of Physicians of Canada and of the American Association of Clinical Endocrinologists. His main scientific interest has been in clinical research, particularly in cardiovascular prevention for patients with diabetes. He has conducted over 150 randomized trials in the field of diabetes and lipids. Dr Streja has authored chapters in five textbooks and co-authored numerous scientific publications. He has lectured in the area of lipids and cardiovascular prevention nationally, in the US, and internationally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".