Bibliographic record
Abstract
Scott Waldman is currently the Chairman of the Department of Pharmacology and Experimental Therapeutics and the Director of the Division of Clinical Pharmacology. He is the Samuel MV Professor, Department of Medicine and Biochemistry and Molecular Pharmacology. Waldman's research interests focus on molecular pathways underlying early intestinal tumorigenesis and their utility as novel targeted agents for managing patients with colorectal cancer. Waldman obtained his BSc degree in Biology from the University at Albany, his PhD degree in Anatomy from Thomas Jefferson University and his MD degree from Stanford University. He was a postdoctoral fellow at the University of Virginia and Stanford University in the Division of Clinical Pharmacology. He has received numerous honors and awards. He currently has 20 awarded patents and 30 patents pending related to novel diagnostic, therapeutic and immunological targets for gastrointestinal malignancies. He is a member of several editorial boards and scientific peer-review committees. Waldman has over 200 publications in various journals, including Proceedings of the National Academy of Science, Gastroenterology, Journal of Biological Chemistry and Journal of Clinical Investigation. Waldman has served on many councils and chaired NIH study sections. He is currently a member of the Osler Society and the College of Reviewers for the Canada Research Chairs Program. He is a past member of the American Board of Clinical Pharmacology, a past Regent of the American College of Clinical Pharmacology and a past President of the American Society for Clinical Pharmacology and Therapeutics.
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 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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".