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Record W4291397994 · doi:10.1016/j.sleh.2022.06.005

National strategy on the integration of sleep and circadian rhythms into public health research and policies: Report from the Canadian Sleep and Circadian Network

2022· review· en· W4291397994 on OpenAlexafffundabout
Jean‐Philippe Chaput, Geneviève Gariépy, Sachin R. Pendharkar, Najib Ayas, Charles Samuels, Annie Vallières, Judith Davidson, Charles M. Morin, Guido Simonelli, Catherine Bourguinat, Reut Gruber, Dominique Petit, Indra Narang, Valérie Viau, Julie Carrier

Bibliographic record

VenueSleep Health · 2022
Typereview
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of TorontoCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalMcGill UniversityDouglas CollegeUniversity of OttawaHôpital du Sacré-Cœur de MontréalQueen's UniversityDouglas Mental Health University InstituteCanadian Sleep & Circadian NetworkUniversity of British ColumbiaCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversity of CalgaryUniversité LavalHospital for Sick ChildrenUniversité de MontréalInstitut Universitaire en Santé Mentale de QuébecAgricultural Research Institute of Ontario
FundersCanadian Institutes of Health Research
KeywordsCircadian rhythmPublic healthSleep (system call)Psychological interventionPsychologyMedicinePsychiatryNursingNeuroscience

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.018
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.011
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0040.003
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.236
GPT teacher head0.436
Teacher spread0.199 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2022
Admission routes3
Has abstractno

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