Disconnective hemispherectomy for hemispheric dysplasia
Bibliographic record
Abstract
Twelve patients suffering from intractable epilepsy and presenting with radiological evidence of diffuse hemispheric involvement of a dysplastic process, were treated by disconnective hemispherectomy, either functional hemispherectomy or peri-insular hemispherotomy. The median age at surgery was 4.5 years old and the interval between seizure onset and surgery, 3 years. All patients underwent a presurgical evaluation that led to the suggestion of disconnective hemispherectomy. Over 70% of patients have remained in Engel's seizure outcome class I since surgery and another 18% have had a satisfactory seizure outcome. There was one unexplained death and one case of early hydrocephalus. Hemispherectomy offers the possibility to improve seizure control in the majority of patients undergoing surgery for extensive dysplastic pathology of the hemisphere. Disconnective techniques reduce the rate of complications in this specific pathology.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".