Pediatric Inflammatory Diseases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it