A case of cystic adenitis and prolapse of nictitans gland in a pup.
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".