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Record W2899936561 · doi:10.1183/13993003.01626-2018

Predictors of 1-year compliance with adaptive servoventilation in patients with heart failure and sleep disordered breathing: preliminary data from the ADVENT-HF trial

2018· letter· en· W2899936561 on OpenAlexafffund
Elisa Perger, Owen D. Lyons, Toru Inami, Stephanie S. Smith, John S. Floras, Alexander G. Logan, T. Douglas Bradley

Bibliographic record

VenueEuropean Respiratory Journal · 2018
Typeletter
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsSinai Health SystemCanadian Sleep & Circadian NetworkWomen's College HospitalToronto Rehabilitation InstituteUniversity Health Network
FundersCanadian Institutes of Health ResearchIstituto Auxologico ItalianoFaculdade de Medicina da Universidade de São PauloLondon Health Sciences CentreUniversitätsklinikum RegensburgToronto Rehabilitation InstituteUniversity of OttawaMcGill UniversityMcGill University Health CentreQueen's UniversityInstitut universitaire de cardiologie et de pneumologie de Québec, Université LavalMcMaster UniversityUniversity of TorontoDalhousie UniversityUniversity Health Network
KeywordsMedicineHeart failureSleep disordered breathingSleep (system call)Compliance (psychology)BreathingClinical trialRandomized controlled trialCardiologyInternal medicinePhysical therapyIntensive care medicineAnesthesiaObstructive sleep apnea

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.052
GPT teacher head0.278
Teacher spread0.226 · 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

Citations30
Published2018
Admission routes2
Has abstractyes

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