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Record W2724325839 · doi:10.15331/jdsm.6680

The Efficacy of a Titrated Tongue Stabilizing Device on Obstructive Sleep Apnea and the Quality of Life: A Clinical Trial Study Protocol

2017· article· en· W2724325839 on OpenAlexaff
Kentaro Okuno, Mona M. Hamoda, Waled M. Alshhrani, John A. Fleetham, Najib Ayas, Robert Comey, Alan A. Lowe, Benjamin T. Pliska, Fernanda R. Almeida

Bibliographic record

VenueJournal of Dental Sleep Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsObstructive sleep apneaProtocol (science)Sleep qualityTongueMedicineSleep (system call)Clinical trialQuality of life (healthcare)Physical medicine and rehabilitationAnesthesiaComputer scienceInternal medicinePharmacologyAlternative medicinePathologyInsomnia

Abstract

fetched live from OpenAlex

Bias is "systematic error introduced into sampling or testing by selecting or encouraging one outcome or answer over others." 1 Scientific studies are likely to be subject to various types of bias that could limit the generalizability of the results. As clinicians, we need to be aware of potential sources of bias and how they may be relevant to our specific patient populations.

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)0.011
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.123
GPT teacher head0.483
Teacher spread0.361 · 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 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

Citations3
Published2017
Admission routes1
Has abstractyes

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