Chronic eosinophilic leukemia in an African hedgehog (Atelerix albiventris)
Bibliographic record
Abstract
A 5-year-old African hedgehog (Atelerix albiventris) was presented to the veterinarian with history of anorexia and progressive weight loss. On clinical examination the mucous membranes were pale, and the skin exhibited extensive alopecia with crusting in all four limbs and tail. A large subcutaneous mass was palpated on the left lateral femur which subsequently was diagnosed histopathologically as a squamous cells carcinoma. The owner declined further tests and the patient returned home where it continued to deteriorate and finally died 90 days after initial presentation. The carcass was submitted for postmortem examination. Necropsy finding included an enlarged spleen with rounded borders and meaty pulp, hyperplastic bone marrow and multiple white foci in both kidneys. Tissues were submitted for cytology, histopathology and electron microscopy. Splenic cytology revealed a monomorphic population of granulocytes with cellular atypia which were most consistent with neoplastic eosinophils. Similar myeloid cells were also seen histologically in kidneys, liver, intestine, heart, skin and brain. The bone marrow was completely effaced with similar cellular infiltrates. Luna stain for eosinophils was positive in all tissues. Electron microscopy showed that neoplastic cells had granules and electron-lucent crystalloid characteristic of eosinophils. Based on these finding chronic eosinophilic leukemia was diagnosed, and to our knowledge, eosinophilic leukemia in hedgehogs is rarely reported in the literature.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".