Pediatric Inflammatory Diseases
Bibliographic record
Abstract
Some rare neurological diseases affecting children have no well defined etiology and pathogenetic mechanisms. In this article diseases like Reye syndrome, Behçet disease, pediatric neurosarcoidosis, Posterior Reversible Encephalopathy Syndrome are described. Some of the main neuroradiological differential aspects are also critically considered. Reye syndrome is characterized by symmetric thalamic, white matter and basal ganglia lesions, in children with recent history of salycilates or immunosuppressive drugs intake. The most typical MRI feature of neurosarcoidosis is basilar meningeal thickening and enhancement with intraparenchymal enhancing nodules and white matter focal abnormalities. The classical distribution of lesions helps differential diagnosis with infectious meningoencephalitis. Differential diagnosis with relapsing-remitting multiple sclerosis his helped by the evidence of meningeal abnormalities. Neuro-Behçet is characterized by mesodiencephalic lesions in children with encephalopathy and coexistence of oral and genital ulcers and ocular abnormalities. PRES can be differentiated from vasculitis for the typical posterior white matter involvement and the different clinical features.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".