Serial MR Imaging of Adult-Onset Rasmussen's Encephalitis
Bibliographic record
Abstract
A 52-year-old woman was referred for a progressive neurological condition which started a year before with continuous irregular twitching of the right facial and arm muscles as well as the tongue and palate, followed by progressive dysphagia, right hemiparesis, ataxia, dysphasia and dysarthria. Though magnetic resonance imaging (MRI) at clinical presentation and a year after were both normal (Figure A1), Rasmussen's encephalitis (RE) was strongly suspected and treatment with corticosteroids and immunoglobulins were begun. A third MRI, two years after onset, revealed mild T2 hyperintense subcortical white matter changes over the left perisylvian region (Figure A) which confirmed our initial suspicion of RE as she now met clinical, electrophysiological and morphological criterias for RE. While waiting for a cerebral biopsy after unsatisfactory response from antiepileptic drugs, corticosteroids and immunoglobulins, her condition markedly worsened less than three years after onset with the sudden occurrence of status epilepticus requiring intubation and continuous infusions of midazolam and propofol.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".