Partial Glossectomy in a Blue-Tongued Skink (Tiliqua scincoides) with Lingual Squamous Cell Carcinoma
Bibliographic record
Abstract
Abstract A 16-year-old, male, intact blue-tongued skink (Tiliqua scincoides) was evaluated for reluctance to eat, deviation of the tongue, and a pink mass noted in the mouth. On physical examination, a 2–3 cm long by 1 cm wide pink, well-vascularized, friable, cobblestone-textured mass was found adhered to the median raphe on the ventral aspect of the tongue. Surgical debulking was performed and biopsy samples were submitted for histopathology, which revealed a squamous cell carcinoma. Very small numbers of mixed-growth bacteria were also cultured from the sample. A complete blood count revealed toxic heterophils, monocytosis, and basophilia; however, the total white blood cell count was within reference values. A partial glossectomy was performed excising the distal 40% of the tongue, including the mass with 0.5–1 cm gross surgical margins. Histopathologically, the neoplasm was excised with narrow margins of normal tissue, leading to the concern for possible local tumor recurrence and metastasis. The patient was hospitalized for 1 wk following surgery for continued monitoring and to provide nutritional support. Two days after discharge from the hospital, the patient began eating. Weekly recheck appointments affirmed the tongue was healing without complication and the animal exhibited normal food prehension, appetite, and weight maintenance. There was no tumor recurrence 2.5 yr postsurgery. Currently, the skink is able to adequately locate and prehend food and is maintaining its weight and normal body condition following partial glossectomy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".