Presumptive motor neuron degeneration in an adult cat.
Bibliographic record
Abstract
An 8-year-old neutered male Bengal cat was referred because of a 1-year history of progressive and relapsing generalized muscle weakness and muscle atrophy. Before referral, the cat was treated with immunosuppressive doses of oral prednisolone, intermittently for 6 mo, and had responded well when the immunosuppressive dose was maintained. Generalized paresis, diffuse muscle atrophy, and diminished spinal reflexes were present in all limbs, consistent with a generalized lower motor neuron disease. Histopathologic evaluation of muscle biopsies confirmed a pattern of muscle fiber atrophy consistent with chronic and severe denervation. No specific abnormalities were identified in the nerve biopsy or within intramuscular nerve branches. A presumptive antemortem diagnosis of an adult-onset motor neuron degeneration resembling amyotrophic lateral sclerosis (ALS) or spinal muscle atrophy was suspected. However, given the response to immunosuppressive doses of corticosteroids, an autoimmune process or other degenerative process could not be definitively excluded. Key clinical message: In this case, an adult cat had a chronic, progressive history of lower motor neuron weakness and absent spinal reflexes; biopsies revealed a neurogenic pattern of muscle fiber atrophy and histologically normal peripheral nerve and intramuscular nerve branches. Although reports of motor neuron disease are rare in the veterinary literature, this case report highlights the importance of muscle and nerve biopsies that lead to a presumptive diagnosis of motor neuron degeneration.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".