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Sebaceous adenitis in four domestic rabbits (<i>Oryctatagus cuniculus</i>)

2000· article· en· W2003724943 on OpenAlexafffund
Stephen D. White, Keith E. Linder, Patricia C. Schultheiss, Kathryn V. Scott, Page Garnett, Simon Taylor, Best, Emily J. Walder, Wayne S. Rosenkrantz, Julie A. Yaeger

Bibliographic record

VenueVeterinary Dermatology · 2000
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversity of Guelph
FundersUniversity of Guelph
KeywordsSebaceous glandFolliculitisPathologyMedicineDermatologyAdenitisKeratosis

Abstract

fetched live from OpenAlex

Four domestic rabbits were presented with a history of nonpruritic scale. Multiple skin biopsies revealed findings compatible with sebaceous adenitis as reported in other species: inflammation directed at the sebaceous gland, and/or an absence of sebaceous glands, a perifollicular lymphocytic infiltrate at the level of the absent sebaceous glands, hyperkeratosis, follicular keratosis, follicular dystrophy, perifollicular fibrosis, and a mural infiltrative lymphocytic folliculitis. Histological changes not consistent with sebaceous adenitis in other species were interface dermatitis and interface folliculitis with single cell necrosis and basal cell hydropic degeneration.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.285
Teacher spread0.266 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations38
Published2000
Admission routes2
Has abstractyes

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