Best Practices for Reporting Pathology Interpretations within GLP Toxicology Studies
Bibliographic record
Abstract
Pfizer, Inc., Groton, Connecticut 06340, USA Merck Research Laboratories, West Point, Pennsylvania 19586 USA Pathology Branch, Center for Food Safety and Applied Nutrition, FDA, College Park, Maryland 20740, USA U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA Charles River Laboratories, Senneville, Quebec H9X 3R3, Canada Merck and Company, Inc., West Point, Pennsylvania 19486, USA Wyeth Research, Chazy, New York 12921 USA Health Canada Ottawa, Ontario K1A 0L2, Canada Sanofi-Aventis, Porcheville 78440, France Vet Path Services, Inc., Cincinnati, Ohio 45249, USA Albert Einstein College of Medicine Bronx, New York 10461, USA Purdue University, West Lafeyette, Indiana 47907, USA
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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 | 0.271 | 0.521 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.027 | 0.020 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.009 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.013 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".