T- and B-cell lymphomas in 2 captive green tree pythons
Bibliographic record
Abstract
), a male and a female, were diagnosed with lymphoma. At autopsy, the female was in poor body condition and had an extensive subcutaneous soft tissue mass along the ribs. The mass was composed of numerous neoplastic round cells that were also present in the liver and spleen and within blood vessels. Neoplastic cells had marked, diffuse membranous-to-cytoplasmic immunolabeling for CD3, consistent with disseminated leukemic T-cell lymphoma. The male had a history of chronic spinal deformities and was in poor body condition. All examined organs contained variable numbers of neoplastic round cells with moderate-to-marked nuclear-to-cytoplasmic immunolabeling for PAX5, consistent with B-cell lymphoma. Here we describe 2 distinct immunophenotypes of lymphomas, including a B-cell neoplasm that has not been reported previously in snakes, to our knowledge. Our 2 cases highlight the potential value of CD3 and PAX5 immunohistochemical markers in ophidians and expand the spectrum of neoplastic diseases documented in reptiles. Understanding the clinical significance of lymphoma in snakes, including its potential impact on prognosis and challenges in management, is critical to refining therapeutic approaches in captive reptile care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".