Limb amputation for surgical management of grade two mast cell tumor on digit of labrador retriever
Bibliographic record
Abstract
The Labrador retriever came to My vets animal clinic Bumi Serpong Damai with mass on digit for a month. Punch biopsy procedure was performed to differentiate the type of the cells involved. The histological report diagnosed mast cell tumor grade 2. Mast cell tumors are one of the most common skin tumors in dogs, its account for approximately 20-25% of skin tumors in dogs. Mast cell tumors can be classified as grade 1, 2 and 3 by histological assesment. Hematology, blood chemistry, chest radiography and abdomen ultrasound were taken to evaluate metastasis condition of the tumor and the results were normal. Mast cell tumors are corrected by surgical, and post-operative survival time is related to the degree of differentiation. Limb amputation was taken as an option to prevent the spread of tumor to the nearest lymph node, namely the axillary node.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".