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Record W2773460839 · doi:10.1160/th17-08-0553

The Perioperative Anticoagulant Use for Surgery Evaluation (PAUSE) Study for Patients on a Direct Oral Anticoagulant Who Need an Elective Surgery or Procedure: Design and Rationale

2017· article· en· W2773460839 on OpenAlexafffund
James Douketis, Alex C. Spyropoulos, J Anderson, Donald M. Arnold, Shannon M. Bates, Mark Blostein, Marc Carrier, Joseph A. Caprini, Nathan P. Clark, Michiel Coppens, Francesco Dentali, Joanne Duncan, Peter L. Gross, Jeannine Kassis, Stephen Kowalski, Agnes Lee, Grégoire Le Gal, Geneviève Le Templier, Na Li, Elizabeth Mackay, Vinay Shah, Sudeep Shivakumar, Susan Solymoss, Frederick A. Spencer, Summer Syed, Alfonso Tafur, Thomas Vanassche, Thomas Thiele, Cynthia Wu, Erik Yeo, Sam Schulman

Bibliographic record

VenueThrombosis and Haemostasis · 2017
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of TorontoUniversity of AlbertaHamilton Health SciencesDalhousie UniversityUniversity of British ColumbiaCentre Hospitalier Universitaire de SherbrookeInstitut du Savoir MontfortUniversité de MontréalMcGill UniversityUniversity of OttawaUniversity of ManitobaOttawa HospitalUniversity of CalgaryMcMaster University
FundersCanadian Institutes of Health ResearchMcMaster UniversityAniara DiagnosticaHeart and Stroke Foundation of Canada
KeywordsMedicineDabigatranPerioperativeRivaroxabanApixabanAtrial fibrillationAnticoagulantProtocol (science)WarfarinSurgeryIntensive care medicineAnesthesiaInternal medicine

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.437
GPT teacher head0.443
Teacher spread0.005 · 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

Citations89
Published2017
Admission routes2
Has abstractyes

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