Edward G. Stopa, MD, July 6, 1954–September 18, 2019
Bibliographic record
Abstract
Dr. Edward G. Stopa, neuropathologist, physician-scientist, and clinician, passed away peacefully on Wednesday, September 18, 2019 at 65 years of age after a brief and courageous battle with pancreatic cancer. Ed was born and raised in Newark, New Jersey. He received his undergraduate degree in physiology in 1976 and medical degree in 1980 from McGill University in Montreal, Canada. He completed his residency in anatomic pathology and fellowship in neuropathology at the Brigham and Women’s Hospital in Boston, Massachusetts, an affiliate of the Harvard Medical School. In 1985, Ed was appointed Assistant Professor of Pathology at Tufts University School of Medicine. In 1989, he became assistant director of neuropathology and associate professor of pathology at the State University of New York Health Science Center in Syracuse. Then, in 1993, Dr. Stopa was appointed as Associate Professor of Pathology and Laboratory Medicine and Neurosurgery at the Warren Alpert Medical School of Brown University. He also was appointed to the clinical staff at Lifespan’s Rhode Island Hospital and Miriam Hospital as Division Director of Neuropathology. In 2002, he was promoted to full professor in the Research Scholar track.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.162 | 0.090 |
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".