Bibliographic record
Abstract
Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) was originally found among the inhabitants of the Charlevoix-Saguenay region of Quebec, Canada. This disease is characterized by early-onset ataxia, spasticity, peripheral neuropathy, finger and foot deformities, and hypermyelination of the retinal nerve fibers. The mentality of the patients is usually intact. The principal neuropathology comprises atrophy of the upper vermis and the loss of Purkinje cells in the cerebellum. Although the lateral corticospinal tracts are degenerated, the precentral gyrus, dentate nucleus, and inferior olivary nucleus are intact. Recently, the gene responsible for ARSACS was determined to encode the sacsin protein in the Quebec patients. In 2004, we first reported a Japanese family with a SACS mutation. So far, we have identified the SACS mutations in a total of five Japanese families with ARSACS and analyzed the clinical features of eight patients. Interestingly, we found some atypical clinical features in the Japanese patients: a slightly later onset than that of the Quebec patients, an absence of myelinated retinal fibers, intellectual impairment, and a lack of spasticity. To date, there have been descriptions of non-Quebec patients with SACS mutations in Japan, Italy, Tunisia, and Turkey. Hereafter, as more SACS mutations are identified, the clinical spectrum of the "sacsinopathies" could expand.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".