Women With Genetic Epilepsies
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 epilepsy syndromes are more common in female individuals. Often, these syndromes have an underlying genetic variant involving the X chromosome that is typically lethal in male individuals, resulting in a higher female prevalence. However, some of the idiopathic generalized epilepsies such as juvenile myoclonic epilepsy are conditions with complex inheritance, with thousands of variants in genes throughout the genome. But they can also have a predominance in female individuals. In this study, we performed a narrative review of PubMed and Scopus using the following entries: “epilepsy in women,” “genetic epilepsy in female individuals,” “epilepsy genetics in women,” “female-specific epilepsy genetics,” “epilepsy and genetic mutations in female individuals.” The findings were synthesized and described according to clinical characteristics, underlying genetic mechanisms, and treatment considerations for these epilepsy syndromes manifesting largely in female individuals. The epilepsy syndromes reviewed here include Rett syndrome, CDKL5 deficiency disorder, PCDH19-related epilepsy, subcortical band heterotopia, periventricular heterotopia, Aicardi syndrome, and juvenile myoclonic epilepsy. Recognizing these epilepsy syndromes and understanding their underlying genetic etiology helps provide a tailored treatment approach early in the course of the disease. It can also assist with genetic counselling for family members who plan to have children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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