Bibliographic record
Abstract
Elliott Kyung Lee,1,2 Alan Bruce Douglass1,2 1Department of Psychiatry, Faculty of Medicine, Institute of Mental Health Research, University of Ottawa, 2Royal Ottawa Mental Health Center, Ottawa, ON, Canada Abstract: Narcolepsy is a disabling sleep disorder characterized by daytime hypersomnolence. Those with cataplexy have spells of muscle weakness precipitated by strong emotions, especially laughter or surprise. Cataplexy treatments include antidepressants or a GABA-B agonist, gamma hydroxybutyrate (GHB). GHB is the most effective treatment for cataplexy, but is expensive and can have significant side effects. A recent report of a murine model of narcolepsy-cataplexy suggests R-baclofen has potential efficacy against cataplexy. We report on two narcolepsy patients with multiple daily cataplexy episodes, one of whom had been effectively treated with GHB, but had to discontinue it for unrelated medical reasons. Both subsequently tried baclofen and experienced almost complete resolution of cataplexy. This report suggests baclofen can be an effective treatment for cataplexy in humans and warrants further study. Keywords: hypersomnolence, gamma hydroxybutyrate, excessive daytime sleepiness
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.011 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".