Immune-mediated Polyarthropathy and Protein-losing Glomerular Nephropathy in a Labrador Retriever
Bibliographic record
Abstract
A 6-year-old castrated male Labrador retriever was presented to the Cornell University Hospital for Animals Emergency Service for lethargy, shifting leg lameness, and possible kidney disease. The patient had a two-week history of weight loss, a one-week history of right forelimb lameness, and a three-day history of unwillingness to stand or walk. On presentation, the patient was depressed with generalized subcutaneous edema, multiple joint effusion, generalized lymphadenopathy, and left hindlimb lameness. Bloodwork revealed non-regenerative anemia, an inflammatory leukogram, azotemia, hyperphosphatemia, hypoalbuminemia, hypocalcemia, and hypercholesterolemia. Urinalysis revealed proteinuria and a protein-creatinine ratio of 13.7. Differential diagnoses included neoplasia, infection, and inflanunatory disease among others. Further diagnostics were unable to find an infectious or neoplastic etiology and the patient was diagnosed with an idiopathic immune-mediated polyarth:ropathy and a secondary protein-losing glomerular nephropathy. This report discusses canine immune-mediated polyarthritis and protein-losing glomerular nephritis including an overview ofpathophysiology, diagnosis, treatment, and prognosis.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.002 | 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".