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Record W2150331089 · doi:10.1176/jnp.12.1.86

Interrelationships Between Nocturnal Sleep, Daytime Alertness, and Sleepiness

2000· article· en· W2150331089 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Neuropsychiatry · 2000
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsAlertnessMultiple Sleep Latency TestSleep (system call)PsychologySleep onsetSleep StagesSleep apneaAnxietyExcessive daytime sleepinessApneaSleep debtDepression (economics)WakefulnessAudiologyMedicineAnesthesiaPolysomnographySleep disorderInsomniaPsychiatryElectroencephalography

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.015
GPT teacher head0.277
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it