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Record W2258997713 · doi:10.7009/tvj.200812.0192

Case report: Canine Juvenile Cellulitis in Labrador Retriever Puppies

2008· article· zh· W2258997713 on OpenAlexaboutno aff
Pan-Chen Liu, Cheng-Chung Lin, Lin ShiunLong, Cheng‐Hung Lai, Way-Shyan Wang

Bibliographic record

Venue臺灣獸醫學雜誌 · 2008
Typearticle
Languagezh
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverMedicineJuvenileErythemaPuppyShampooBeaglePapuleCellulitisDermatologySurgeryPathologyBiologyLesionInternal medicine

Abstract

fetched live from OpenAlex

Five Labrador retriever puppies were whelped by a 3-year-old bitch. Three of the puppies displayed alopecia, erythema, scale, crust, ulceration, as well as nodular and pustular lesions, on the tails, limbs, and abdomens at 3 weeks of age, however, the other two puppies appeared normal. No significant parasites, bacteria, and fungi were found on Scotch tape strip examination. The diseased puppies were much improved after three to four weeks of treatment with oral corticoidsteroid, vitamin B6, Coatex pump (VetPlus), and topical therapy with ChlorhexiDerm shampoo (DVM) and Flarzon ointment.

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)0.001
metaresearch head score (Gemma)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.269
Teacher spread0.241 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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