Masquerades of Acquired Demyelination in Children
Bibliographic record
Abstract
The diagnosis of acquired demyelinating syndromes of the central nervous system in children requires exclusion of other acute central nervous system disorders. In a 23-site national demyelinating disease study, standardized clinical, laboratory, and magnetic resonance imaging (MRI) data were obtained prospectively from onset, and serially at 3, 6, and 12 months and annually. Twenty of 332 (6%) participants (mean [SD] age, 10.21 [4.32] years; 12 (60%) female) were ultimately diagnosed with vascular disorders (primary or secondary central nervous system vasculitis, vasculopathy, stroke, or migraine, n = 11 children), central nervous system malignancy (n = 3), mitochondrial disease (n = 2), or central nervous system symptoms in the accompaniment of confirmed infection (n = 4). Red flags that may serve to distinguish disorders in the differential of acquired demyelination are described.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".