Bibliographic record
Abstract
This chapter gives an overview of limbal melanocytoma, its diagnosis and treatment. Limbal (epibulbar) melanocytomas represent a relatively common neoplastic proliferation of melanocytic cells at the corneoscleral limbus and may affect dogs or cats. In rare instances, these lesions may display malignant characteristics including significant anaplasia and / or metastasis. Lesions typically present as well-defined, raised, and pigmented masses with a smooth surface. Progressive enlargement typically results in corneoscleral and/or intraocular invasion and may ultimately lead to glaucoma and/or retinal detachment. Limbal melanocytomas should be differentiated fromextension of more malignant uvealmelanomas. Commonly affected breeds include the Labrador Retriever, Golden Retriever, and German Shepherd. The diagnosis of melanocytoma is made on the basis of clinical findings, supported by histopathology, following incisional or excisional biopsy. Treatment typically encompasses surgical resection where possible. Pigment-rich melanocytomas are also relatively susceptible to the application of cryotherapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".