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Record W246030126

A case of cystic adenitis and prolapse of nictitans gland in a pup.

2009· article· en· W246030126 on OpenAlexaboutno aff
C. Ramani, Rajib Das, S. Sooryadas, Rajeev Kumar

Bibliographic record

VenueTamilnadu Journal of Veterinary and Animal Sciences · 2009
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsCanthusAnatomyBeagleMedicineSurgeryEyelidInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

with ocular drops, then it results in accumulation of inflammatory fluid and turning it into cystic adenitis. If untreated, chronic conjunctivitis and ocular discharge may occur (Dugan et al., 1992). A two months old female Labrador Retriever pup was presented with a history of swelling near the medial canthus in right eye and excess lacrimation for past 15 days. It had been undergoing treatment with Ofloxacin and Flurbiprofen eye drops, along with massaging of the swollen part. The animal was apparently healthy on clinical examination, except for the swelling at the medial canthus. The swelling on the medial canthus was slightly larger than a pea nut and was protruding from behind the nictitans Pro lapse of n ic t i t ans g land i s commomonly seen in breeds like Bulldog, Chihuahua, Cocker Spaniel, Beagle, Pekingese, Neopolitan Mastiff and Basset Hound (Daniel, 2005). It may result from weakness at the connective tissue attachment between nictitating membrane and periorbital tissue (Severin, 1996 and Schoofs, 1999). This allows the gland which is normally located ventrally, to fllip up dorsally, where it enlarges and get inflamed and appear as red mass in medial canthus. It can be either unilateral or bilateral, and occurs before 2 years of age (Dugan et al., 1992 and Morgan et al., 1993). Tear production will be fluctuating initially and then subnormal (Morgan et al., 1993). If the prolapsed gland is massaged along

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.252

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 studies0.0000.001
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 head0.072
GPT teacher head0.383
Teacher spread0.311 · 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 designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

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Same venueTamilnadu Journal of Veterinary and Animal SciencesSame topicVeterinary Oncology ResearchFrench-language works237,207