<b>Ocular and perineal squamous cell carcinomas in a Holstein Friesian cow</b>
Bibliographic record
Abstract
Background: Squamous cell carcinoma (SCC) in domestic cattle is an economically significant malignant neoplasm and has been documented primarily in ocular and periocular tissues, vulva, and perineum. SCCs are often slow-growing and locally invasive, but metastasis is uncommon. Increased risk of developing SCC has been predominantly associated with high levels of sunlight exposure and hypopigmentation (skin and conjunctiva). This manuscript reports a case of ocular and perineal SCC in a Holstein Friesian cow with maxillary sinusitis secondary to tumor invasion. Case Description: An approximately 17-year-old Holstein Friesian cow was presented with a swollen, closed left eye and slow-growing perineal masses. The left eye was exenterated after showing poor response to anti-inflammatory and antimicrobial therapies, and the largest perineal mass was excised. Twelve months later, the cow developed purulent nasal discharge and dyspnea. The animal was euthanized for postmortem investigation due to health deterioration, advanced age, and suspected tumor metastasis. Conclusion: infection confirmed on aerobic culture. Histological evaluation of the enlarged lymph nodes revealed reactive lymphoid hyperplasia without evidence of tumor metastasis.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".