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Record W2145513734 · doi:10.1080/01926230601034624

Best Practices for Reporting Pathology Interpretations within GLP Toxicology Studies

2006· article· en· W2145513734 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueToxicologic Pathology · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotoxicology and immune responses
Canadian institutionsHealth CanadaCanadian Nuclear Laboratories
Fundersnot available
KeywordsMedicineClinical toxicologyToxicologyPathologyPsychologyBiology

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.114
GPT teacher head0.390
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it