Worster-Drought Syndrome Associated With <i>LINS</i> Mutations
Bibliographic record
Abstract
Worster-Drought syndrome is a congenital, pseudobulbar paresis. There is no identified molecular etiology despite familial cases reported. The authors report a boy who was diagnosed with Worster-Drought syndrome due to longstanding drooling, dysphagia, and impaired tongue movement. Magnetic resonance imaging of the brain was unrevealing. At 14 years old, he remains aphonic with normal facial and extraocular movements. Nonsense mutations in the LINS gene, p.Glu366X and p.Lys393X, were found. Results from neuropsychological testing at 14 years old were consistent with a diagnosis of intellectual disability and revealed nonverbal reasoning skills at a 5-year-old level with relative sparing of his receptive vocabulary and visual attention. Compared to prior testing at 9 years old, his receptive language improved from a 6-year-old to an 8.5-year-old level. The authors report LINS mutations associated with Worster-Drought syndrome. This highlights that despite severe and persistent aphonia, receptive language improvements can be observed within the context of intellectual disability.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".