Widespread Symmetrical Subcortical Band Heterotopia
Bibliographic record
Abstract
A 47 year-old woman with normal neurological examination and normal intelligence developed medically refractory seizures at the age of 13 years.Over time, six distinct types of partial seizure were identified: left cheek myoclonus, forced tongue movements followed by lower extremity thrashing movements, left arm numbness and tingling, rising epigastric sensation, visual distortion, and graying of left superior quadrant vision.Each type could occur as a simple partial seizure, evolve to a complex partial seizure, or evolve to a secondarily generalized tonic-clonic seizure.Surface and subdural electroencephalographic studies confirmed independent seizure onsets from frontal, temporal and occipital lobes.Magnetic resonance imaging (MRI) examinations at our own institution and at another epilepsy centre in the remote past were reported as normal (images no longer available for review).She underwent repeat MRI examination as part of a comprehensive re-evaluation (Figure 1).The MRI revealed a thin band of heterotopic grey matter paralleling the cortex closely on all sequences.This heterotopic grey matter was symmetrically distributed in the frontal, parietal, and occipital lobes.There was no other malformation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".