<scp>NHLRC1</scp> homozygous dodecamer expansion in a Newfoundland dog with Lafora disease
Bibliographic record
Abstract
Lafora disease is a genetic disease caused, in humans, by mutations in EPM2A and NHLRC1 genes, resulting in accumulation of polyglucosan bodies within neurons. Affected subjects present progressive neurological signs characterised primarily by myoclonic epilepsy. In dogs, Lafora disease has been described mainly in miniature wire-haired Dachshunds, where a dodecamer expansion in NHLRC1 gene has been identified. The same mutation has then been detected in the Basset Hound, Beagle, Chihuahua and Pembroke Welsh Corgi breeds. This is the first case of a Newfoundland dog with myoclonic epilepsy diagnosed with Lafora disease based on confirmed dodecamer expansion in the NHLRC1 gene. Lafora disease is being progressively recognised in different unrelated breeds suggesting a wider distribution in the canine population than previously thought.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".