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Record W2026629452 · doi:10.1055/s-2001-13829

Sleep in the Critically Ill Patient

2001· article· en· W2026629452 on OpenAlexaff
Andrew Cooper, Jonathan Y. Gabor, Patrick J. Hanly

Bibliographic record

VenueSeminars in Respiratory and Critical Care Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSleep (system call)Critically illIntensive care unitIntensive care medicineRapid eye movement sleepPsychiatryElectroencephalography

Abstract

fetched live from OpenAlex

The sleep of intensive care unit (ICU) patients is remarkably disrupted. Several studies, employing both subjective and objective measures of sleep quality, have demonstrated that critically ill patients exhibit severe sleep fragmentation and reduced restorative sleep, particularly a suppression of rapid eye movement (REM) sleep. The cause of sleep disruption in the ICU appears to be multifactorial and includes both the patients' acute and chronic illnesses and factors that are unique to the ICU environment. Noise has been a significant focus of investigation, and the effects of medications, light, and patient-care activities have also been examined. Several questions remain to be answered so that caregivers can improve sleep in ICU patients, including the relative contribution of different sleep-disrupting factors and possible changes in patient susceptibility to these factors over time.

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 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)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.320
Teacher spread0.299 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2001
Admission routes1
Has abstractyes

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