Bibliographic record
Abstract
In Brief OVERVIEW Epilepsy is a serious, common neurologic disease that affects people of all ages. As underscored in the 2012 Institute of Medicine report Epilepsy Across the Spectrum: Promoting Health and Understanding, the millions of people living with epilepsy in the United States face the challenges of seeking out high-quality, coordinated health care and community services; overcoming epilepsy misinformation and stigma; and finding understanding and support in their communities. This article, the first in a two-part series, discusses new research that has increased our understanding of epilepsy's etiology and pathophysiology, new definitions that are changing the ways we evaluate and treat this disease, conditions that frequently present with epilepsy, and psychosocial challenges faced by people with epilepsy. Part 2, which will appear in next month's issue, reviews comprehensive nursing care and evidence-based treatment for epilepsy and presents resources for people with epilepsy and their families. This first article in a two-part series discusses new research on the causes of epilepsy, new definitions that are changing the ways we evaluate the disease, and the psychosocial challenges faced by people who have it.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".