Interrelationships Between Nocturnal Sleep, Daytime Alertness, and Sleepiness
Bibliographic record
Abstract
The authors studied daytime sleepiness and alertness (based on the Multiple Sleep Latency Test [MSLT] and Maintenance of Wakefulness Test [MWT]) and nocturnal sleep in 22 patients with depression/anxiety and in 47 nondepressed patients with sleep apnea. The patients underwent two overnight sleep studies followed by daytime tests. In depressed patients, MWT scores correlated negatively with total sleep time and stage 3. MSLT scores correlated negatively with total sleep time and with sleep efficiency. Apneic patients showed a negative correlation between MWT results and amount of stage 1 sleep. MSLT results correlated positively with sleep onset latency on the preceding overnight sleep study. Thus, in depressed patients, there is a paradox that with more disturbed sleep there is greater daytime alertness. In contrast, the more disturbed the sleep is in sleep apnea patients, the more difficult it is to maintain daytime alertness.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".