American College of Medical Informatics Fellows and International Associates, 2001
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Stephen Altschul is a Senior Investigator at the National Center for Biotechnology Information, which is part of the National Library of Medicine at the National Institutes of Health. He received his AB summa cum laude in mathematics from Harvard College and a PhD in mathematics from the Massachusetts Institute of Technology. Dr. Altschul held an IRTA postdoctoral fellowship at the Mathematics Research Branch of the National Institute of Diabetes and Digestive and Kidney Diseases before moving to the NCBI, where he has been for the past 12 years. His research has focused on developing measures, algorithms, and statistics for the comparison and analysis of DNA and protein sequences. He played a central role in developing the blast and psi-blast sequence database search programs, and his articles describing these programs have become, respectively, the most cited scientific papers published since 1990 and 1995. Dr. Altschul has served on grants committees for the National Human Genome Research Institute of the NIH and for the Medical Research Council of Canada. He has been a member of the editorial boards of Protein Sequences & Data Analysis, Gene-combis , and Genome Biology and is invited to be a keynote speaker at the Tenth Annual Conference on Intelligent Systems for Molecular Biology. Dennis Benson is Chief of the Information Resources Branch at the National Center for Biotechnology, National Library of Medicine. Dr. Benson received his undergraduate and graduate degrees in the neuroscience program at the University of Florida. Prior to his current position, Dr. Benson was a postdoctoral fellow in the Department of Biomedical Engineering, Johns Hopkins School of Medicine, where his research focused on the neurophysiology of the auditory cortex. He came to the Lister Hill Center for Biomedical Communications at the NLM in 1980 and worked on knowledge-based retrieval systems in the area …
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it