Bibliographic record
Abstract
Pediatric multiple sclerosis has been increasingly recognized in the past 10 to 15 years; 3% to 5% of all multiple sclerosis patients experience their first attack in childhood. Childhood multiple sclerosis has a relapsing-remitting disease course. The first attack, or "acquired demyelinating syndrome," consists of optic neuritis, transverse myelitis, acute disseminated encephalomyelitis, and monofocal or polyfocal neurological deficits. The diagnosis of multiple sclerosis necessitates the clinical or magnetic resonance imaging confirmation of dissemination in space and time and exclusion of other disorders. The morbidity of childhood multiple sclerosis is significant; within the first 2 years from onset, 30% of children have significant cognitive impairment, 50% show signs of depression, and 75% are fatigued. The relapse rate in children with multiple sclerosis is higher than in adult-onset disease. Following acute treatment, recovery after the first attacks is usually excellent, but patients with childhood-onset multiple sclerosis reach permanent disability or enter the secondary progressive disease course 10 years younger than patients with adult-onset multiple sclerosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".