Spinocerebellar ataxia type 8 in Russian patients
Bibliographic record
Abstract
OBJECTIVE: To assess the incidence of spinocerebellar ataxia type 8 (SCA8) in patients with progressive cerebellar ataxia and describe the clinical features of the SCA8 phenotype in Russian patients. MATERIAL AND METHODS: gene was carried out in 411 patients with degenerative ataxias using fragment analysis. SCA types 1, 2, 3 and 6 as well as Friedreich's ataxia were preliminarily excluded. All patients underwent brain MRI study. Scale for the Assessment and Rating of Ataxia (SARA), and the Montreal Cognitive Assessment Scale (MoCA) to screen for cognitive impairment were used. RESULTS: gene (91-152 CTA/CTG repeats). All cases were sporadic. Age of onset ranged from 14 to 42 years. All patients had slowly progressive cerebellar ataxia, oculomotor disturbances, dysarthria, pyramidal signs, and two patients had cognitive impairment. In one patient the clinical presentation corresponded to multiple system atrophy cerebellar type (ataxia, orthostatic hypotension, cerebellum and brainstem atrophy). Brain MRI study in all patients revealed cerebellar atrophy. CONCLUSION: SCA8 is a rare form of autosomal dominant ataxia with a predominance of the classical phenotype. All identified cases of SCA8 were sporadic, which should be taken into account when planning genetic testing in patients with spinocerebellar ataxia.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".