Sebaceous Adenoma Case in a Golden Retriever Dog
Bibliographic record
Abstract
Background: Sebaceous adenoma is a benign tumour originating from the skin's sebaceous glands. These tumours can arise in older and middle-aged dogs, typically on various body parts, head, and extremities. The tumours can manifest as either lumps or ulcers. Ulcers may develop when the animal scratches the tumour mass. Purpose: Increase the insight and ability of veterinary practitioners in diagnosing and providing information regarding the treatment of sebaceous adenomas. Case: A nine-year-old Golden retriever dog was brought to the Bali Veterinary Clinic with a complaint of a lateral wound on the face skin of the right eye. Anamnesis revealed that the initial wound was a lump. Clinical examination showed a yellowish ulcer with a 2 cm diameter. Case Management: A hematology examination indicated mild anemia in the dog, while blood biochemistry revealed no abnormalities. Cytology confirmed that the ulcer was a sebaceous adenoma. The owner declined surgery for their pet, so treatment involved applying Bioplacenton® gel to the ulcer area to prevent further infection and accelerate wound healing. Conclusion: In this case, the ulcer wound can be concluded as a sebaceous adenoma. This tumour is benign and harmless, but it is advisable to remove the tumour mass if it impairs the animal's activity and prevents potential secondary infection.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| 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) | 0.000 | 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".