<i>DEGS1</i> -Related Hypomyelinating Leukodystrophy
Bibliographic record
Abstract
Objectives: -related leukodystrophy with phenotypic heterogeneity both within the family and in previously reported individuals. Methods: Four related individuals were followed by the neurology, genetics, and neurometabolic teams with clinical examinations, MRI brain, and genetic/metabolic investigations. Trio exome sequencing (ES) was completed after initial investigations returned normal. Results: , c.110T>C (p.Met37Thr), for the proband with subsequent confirmatory testing of remaining affected family members. While the affected individuals share many similarities, there is notable variability in severity between them as well as with other 33 previously reported individuals, including 2 with the same pathogenic variant. This variability is highlighted in the presence of seizures, nystagmus, failure to thrive, microcephaly, MRI brain findings, and age at disease onset. Discussion: -related leukodystrophy and adds to the current understanding of the phenotypic range of affected individuals. Consideration of variability in the condition's natural history and outcome is key to appropriately counsel patients and families.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".