Intravascular lymphoma presenting as bilateral panophthalmitis and retinal detachment in a dog
Bibliographic record
Abstract
A seven-year-old, spayed female boxer was presented for sudden blindness and red eyes of one week's duration. Ophthalmic examination revealed bilateral uveitis with complete bullous retinal detachments. Initial diagnostic testing failed to reveal evidence of systemic disease. Cytopathology of subretinal aspirates confirmed the presence of macrophages with intracytoplasmic retinal pigment, epithelial and choroidal pigment, and monocytes. Tentative diagnoses were idiopathic uveitis and retinal detachment. The dog was treated with immunosuppressive doses of prednisone. The retinas reattached and vision returned. By two months, the dog became blind and systemically ill. Postmortem and histopathological examinations revealed intravascular lymphoma in multiple organs, including the eyes.
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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 | 0.000 | 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".