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Record W2947059443 · doi:10.1016/j.chest.2019.04.132

Impaired Sleep Quality in COPD Is Associated With Exacerbations

2019· article· en· W2947059443 on OpenAlexafffund
Matthew Shorofsky, Jean Bourbeau, John Kimoff, Rachel Jen, Atul Malhotra, Najib Ayas, Shawn D. Aaron, Don D. Sin, Jeremy Road, Kenneth R. Chapman, Denis E. O’Donnell, François Maltais, Brandie Walker, Darcy D. Marciniuk, Marta Kamińska, J. Mark FitzGerald, Paul Hernandez, Robert Cowie, Jonathon Samet, Milo A. Puhan, Qutayba Hamid, James C. Hogg, Carole Baglole, Carole Jabet, Palmina Mancino, Yvan Fortier, Sheena Tam, Joe Comeau, Adrian Png, Harvey O. Coxson, Miranda Kirby, Jonathon Leipsic, Cameron Hague, Mohsen Sadatsafavi, Andrea S. Gershon, Peizhi Li, Jean-Francois Duquette, Andrea Benedetti, Denis Jensen, Christine Lo, Sarah Cheng, Cindy Fung, Nancy Ferguson, Nancy Haynes, Junior Chuang, Licong Li, Selva Bayat, Amanda Wong, Zoe Alavi, Catherine C. Peng, Bin Zhao, Nathalie Scott-Hsiung, Tasha Nadirshaw, David Latreille, Jacinthe Baril, Laura Labonté, Patricia McClean, Nadeen Audisho, Ann Cowie, Curtis Dumonceaux, Lisette Machado, Scott Fulton, Kristen Osterling, Kathy Vandemheen, Gay Pratt, Amanda Bergeron, Matthew McNeil, Kate Whelan, Cynthia Brouillard, Ron Clemens, Janet Baran

Bibliographic record

VenueCHEST Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of SaskatchewanUniversity of CalgaryUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecQueen's UniversitySt. Paul's HospitalDalhousie UniversityUniversity of TorontoUniversity Health NetworkOttawa HospitalUniversity of British ColumbiaMcGill University Health Centre
FundersNational Heart, Lung, and Blood InstituteReseau canadien de recherche respiratoireBoehringer IngelheimGlaxoSmithKline
KeywordsMedicineInterquartile rangeCOPDPittsburgh Sleep Quality IndexExacerbationInternal medicineCohortPopulationCohort studyPhysical therapySleep qualityInsomniaPsychiatryEnvironmental health

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.032
GPT teacher head0.322
Teacher spread0.290 · 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

Citations79
Published2019
Admission routes2
Has abstractno

Explore more

Same venueCHEST JournalSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207