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Record W4210497776 · doi:10.1136/thoraxjnl-2021-218154

Top 10 research priorities for people with obstructive sleep apnoea, families and clinicians: James Lind Alliance Priority Setting Partnership

2022· article· en· W4210497776 on OpenAlexaff
Donna Goodridge, Britney Duncan, Katherine Cowan, Sarah Fang, Mark Fenton, Dave Parkalub, Jaimie Peters, Robert Skomro, Candace Skrapek, Kendra Ulmer

Bibliographic record

VenueThorax · 2022
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsThe Lung Association SaskatchewanUniversity of Saskatchewan
Fundersnot available
KeywordsGeneral partnershipAllianceMedicineStakeholderComorbidityQuality of life (healthcare)Family medicinePublic relationsNursingPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Obstructive sleep apnoea (OSA) is associated with significant comorbidity, preventable accidents and reduced quality of life. Little is known about the research priorities of patients with OSA, family members and clinicians. A James Lind Alliance research priority setting partnership was conducted. An initial survey (690 respondents who generated 1110 questions), a prioritisation survey (250 respondents), and a final workshop were used to identify the top 10 research priorities. Consensus was achieved on the top-ranked research priorities. Our results will inform the efforts of funders, researchers and policy-makers to align directly with stakeholder priorities related to OSA.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.263
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.064
GPT teacher head0.390
Teacher spread0.326 · 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.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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