A case of well‐differentiated palpebral liposarcoma in a <scp>G</scp>uinea pig (<i><scp>C</scp>avia porcellus</i>)
Bibliographic record
Abstract
Liposarcomas are rare malignant tumors of the adipose tissue which are well described in humans and animals. Wide margin excision is the recommended treatment for these infiltrative, slow to metastasize tumors. Primary liposarcoma with ocular localization is a very rare tumor in humans, dogs and cats. This report describes, for the first time, a palpebral liposarcoma in a 18-month old guinea pig that presented with a large palpebral mass and purulent discharge in the right eye. The ophthalmic evaluation revealed a one-centimeter infiltrating subcutaneous mass within the upper eyelid, a severe chemosis and hyperhemia of the palpebral and bulbar conjunctiva of the right eye. Cytologic examination of the mass revealed only epithelial cells. Histologic examination interpreted the lesion as a xanthogranulomatous reaction possibly secondary to meibomian gland rupture or inflammation. One month later, the mass had increased in size and the animal had stopped eating. Euthanasia was performed and a large biopsy was submitted for another histological examination. Histopathology revealed polygonal to rounded cells with a large, empty intracytoplasmic vacuole, and an ovoid, eccentrically located nucleus. The histology was consistent with a well-differentiated liposarcoma. Given the unusual location, immunohistochemistry was performed to ascertain the mesenchymal nature of the neoplasm.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".