Late‐onset epilepsy in a surgically‐treated Sturge‐Weber patient
Bibliographic record
Abstract
Sturge-Weber syndrome is a rare, congenital, neurocutaneous disorder. It can be associated with a variety of symptoms including severe epilepsy. Patients often become symptomatic during childhood and the severity of the epilepsy correlates with the patient's neurological outcome. The patient reported here remained asymptomatic until age 24, when he started to experience migraine accompanied by visual scotoma and hemiparesis. Ten years later, he developed severe, refractory epilepsy, with prolonged postictal neurological deficits and ictal as well as post-ictal headaches. It became increasingly difficult to distinguish between migraines and seizures as both could last for several hours, as demonstrated in the two video EEGs. Both the epilepsy and the migraine may therefore have contributed to the patient's severe, neurological deterioration, probably by accelerating the progressive neuronal damage. Surgery improved the situation, but lesional areas were too extensive for complete removal. Late-onset symptoms in Sturge-Weber syndrome may thus result in a severe course for the disease. Early intervention and surgical treatment options are discussed.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".