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Canine tarsal gland epitheliomas and adenomas

2017· article· en· W2602725668 on OpenAlexaboutno aff
Juliana Werner, Christiane Montenegro Coimbra Moura, Pedro Werner, Fabiano Montiani‐Ferreira

Bibliographic record

VenueBrazilian Journal of Veterinary Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsRetrospective cohort studyMedicinePathologyAnatomy

Abstract

fetched live from OpenAlex

A total of 290 cases of tarsal gland adenomas and epitheliomas from canine patients were analyzed to determine the frequency and to better characterize their histopathological features. Tissue samples were examined in two veterinary pathology laboratories in Curitiba, Brazil, which receive samples from all over the country. Tarsal epitheliomas were significantly more frequent than tarsal adenomas (77.9% and 20.7%, respectively). In four cases (1.4%), the lesion contained both types of neoplasms. A total of 39 breeds were represented. The most common breeds were: English cocker spaniel (12.4%), poodle (10.3%) and Labrador retriever (9.3%). Mixed breed dogs represented 13.1% of the total. The upper eyelids were most commonly affected (65.2%), males and females were equally represented and there did not appear to be a predilection for either side of the face. Mitotic figures were most common in epitheliomas. The pigmented subtype was the most common form of epithelioma (59.7%). Whereas within the adenomas, the classic subtype (without inflammation or pigmentation) was the most common form (61.7%); and the inflamed subtype was also highly represented (20.0%).

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.338
Teacher spread0.300 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2017
Admission routes1
Has abstractyes

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