Bibliographic record
Abstract
An eight-year-old male castrated Golden Retriever presented to the Cornell University Hospital for Animals Ophthalmology Service for sudden vision impairment that began approximately two weeks prior to presentation. On ophthalmologic exam, trace flare was seen in the anterior chambers of both eyes (OU) and inferior bullous retinal detachments with additional multifocal areas of retinal detachment were present OU. These signs were consistent with a diagnosis of panuveitis OU. To identify an underlying cause for the patient’s uveitis, a full work-up was performed. Based on the patient’s marked hyperglobulinemia evident on a serum biochemistry panel and the presence of aggressive bone lesions on the left 5th, 9th, and 10th ribs on thoracic radiographs, a presumptive diagnosis of multiple myeloma was made. A follow-up with Cornell’s Oncology Service was highly recommended, and treatment for the patient’s uveitis was initiated. This case report will describe pertinent clinical findings and possible differential diagnoses in a dog with uveitis. Further, other occurrences of multiple myeloma presenting as a primary ocular pathology will be discussed.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".