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Record W3094096718 · doi:10.1016/j.cjca.2020.09.001

The 2020 Canadian Cardiovascular Society/Canadian Heart Rhythm Society Comprehensive Guidelines for the Management of Atrial Fibrillation

2020· article· en· W3094096718 on OpenAlexaffvenueabout
Jason G. Andrade, Martín Aguilar, Clare Atzema, Alan Bell, John A. Cairns, Christopher C. Cheung, Jafna L. Cox, Paul Dorian, David J. Gladstone, Jeff S. Healey, Paul Khairy, Kori Leblanc, M. Sean McMurtry, L. Brent Mitchell, Girish M. Nair, Stanley Nattel, Ratika Parkash, Louise Pilote, Roopinder K. Sandhu, J. Sarrazin, Mukul Sharma, Allan C. Skanes, Mario Talajic, Teresa S.M. Tsang, Atul Verma, Subodh Verma, Richard Whitlock, D. George Wyse, Laurent Macle

Bibliographic record

VenueCanadian Journal of Cardiology · 2020
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSouthlake Regional Health CenterPopulation Health Research InstituteUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of OttawaMcGill UniversityUniversity of CalgaryMcMaster UniversityWestern UniversityUniversity of TorontoDalhousie UniversityMontreal Heart InstituteUniversity of British ColumbiaUniversity of AlbertaUniversité de Montréal
Fundersnot available
KeywordsMedicineGuidelineAtrial fibrillationManagement of atrial fibrillationCanadian Cardiovascular SocietyHeart RhythmGrading (engineering)Intensive care medicineKnowledge translationQuality managementMedical emergencyManagement systemPathologyCardiologyKnowledge managementOperations management

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)0.009
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.850

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0070.005
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0050.002
Research integrity0.0100.012
Insufficient payload (model declined to judge)0.0120.006

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 head0.106
GPT teacher head0.324
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations559
Published2020
Admission routes3
Has abstractno

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Same venueCanadian Journal of CardiologySame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207