Bilateral ocular metastatic melanoma of unknown primary (MUP) in a dog
Bibliographic record
Abstract
An 11‐year‐old Labrador retriever was evaluated for bilateral ocular discomfort and visual deficits. Ophthalmic examination revealed bilateral uveitis with secondary glaucoma; the right eye was blind. Further investigations revealed bilateral retinal detachment, a diffuse interstitial lung pattern and bilateral focal adrenomegaly. Aqueocentesis of the left eye diagnosed a melanocytic malignancy, whereas only inflammation was detected in the right eye. A staged bilateral enucleation was performed and histopathology revealed metastatic melanoma in both eyes. Complete staging diagnosed an unrelated pulmonary neoplasm but failed to detect a primary site of the melanoma. The patient was euthanased 17 weeks post diagnosis due to development of neurological signs. Postmortem examination confirmed disseminated melanoma but failed to reveal a primary site. This unusual case highlights the diagnostic utility of bilateral aqueocentesis in canine uveitis investigation and the critical role of histopathological evaluation of enucleated globes to discriminate between primary and metastatic neoplasia in the eye.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".