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Record W4393034308 · doi:10.1093/sleep/zsae077

Increased flow limitation during sleep is associated with decreased psychomotor vigilance task performance in individuals with suspected obstructive sleep apnea: a multi-cohort study

2024· article· en· W4393034308 on OpenAlexfundno aff
Eric Staykov, D Mann, Timo Leppänen, Juha Töyräs, Samu Kainulainen, Ali Azarbarzin, Brett Duce, Scott A. Sands, Philip I. Terrill

Bibliographic record

VenueSLEEP · 2024
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteEuropean Regional Development FundNational Health and Medical Research CouncilMedical Research CouncilNordForskAmerican Heart AssociationQueensland HealthUniversity of QueenslandSuomen KulttuurirahastoBrigham and Women's HospitalFlinders UniversityRespicardiaAmerican Academy of Sleep Medicine FoundationBusiness FinlandKuopion Yliopistollinen SairaalaTampereen TuberkuloosisäätiöMassachusetts General HospitalUniversity of AlbertaMetro North Hospital and Health ServiceEli Lilly and Company
KeywordsVigilance (psychology)Psychomotor learningPsychomotor vigilance taskObstructive sleep apneaMedicineAudiologySleep apneaPolysomnographyCohortApneaSleep (system call)Sleep deprivationAnesthesiaPsychologyInternal medicineCircadian rhythmCognitionPsychiatryNeuroscience

Abstract

fetched live from OpenAlex

Eric Staykov, Dwayne L Mann, Timo Leppänen, Juha Töyräs, Samu Kainulainen, Ali Azarbarzin, Brett Duce, Scott A Sands, Philip I Terrill, The STAGES Cohort Invest

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.274
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2024
Admission routes1
Has abstractno

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