Dataset for Comparing Daytime Sleepiness in Parkinson Disease by Narcolepsy HLA DQB1 Risk and Protective Alleles
Bibliographic record
Abstract
Data on daytime sleepiness in patients with Parkinson disease, narcolepsy HLA DQB1 risk and protective alleles and dopaminergic drug use. The data was collected in a convenience sample of 150 participants with Parkinson disease from Albany Medical Center, Albany, New York. Data available for each participant includes demographic data, past medical history, medications, the Unified Parkinson Disease Rating Scale, Schwab and England scale, Hoehn and Yahr scale, the Montreal Cognitive Assessment, the modified Epworth Sleepiness Scale, the Parkinson Disease Sleep Scale version 2, the Mayo Sleep questionnaire (select questions). Dopaminergic drugs are expressed are levodopa equivalent daily dosage. All participants were genotyped for narcolepsy DQB1 risk alleles. A data dictionary is included.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.012 |
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".