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Record W4407921373 · doi:10.48165/ijar.2024.45.01.24

Surgical correction and histopathological characterisation ofvaginal hyperplasia in a Labrador Retriever dog

2024· article· en· W4407921373 on OpenAlexaboutno aff
Nayana Devarajan, Shibu Simon, Bibin Becha B, R. S. Abhilash, S.S. Devi, Y V Reddy, T. P. Ananthapadmanabhan, uresh Alaka S

Bibliographic record

VenueThe Indian Journal of Animal Reproduction · 2024
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverMedicineHyperplasiaAnatomySurgeryPathology

Abstract

fetched live from OpenAlex

Canine vaginal hyperplasia is one of the frequently encountered vaginal pathologies, often unnoticed too. The condition is mostly observed during the follicular phase of the oestrous cycle in bitches. Clinically the condition is mostly observed during the follicular phase of the oestrous cycle in bitches. Clinically the condition is established as a swollen mass which could vary in size and shape. A nulliparous intact female labrador retriever, aged two years, was presented to the university veterinary hospital, Kokkalai, with the complaint of a mass protruding from the vulva for the past two weeks. Histopathology of the protruded vaginal mass revealed keratinised and hyperplastic vaginal epithelium with focal areas of mild spongiosis. Subsequently, the condition was diagnosed as vaginal hyperplasia Type III and the condition was managed with surgical circumferential excision under general anaesthesia. No recurrence was observed on the succeeding oestrous cycle.

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)0.001
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 score0.522
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.277
Teacher spread0.261 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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