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Record W2133700167 · doi:10.1016/j.hrthm.2015.03.029

2015 Heart Rhythm Society Expert Consensus Statement on the Diagnosis and Treatment of Postural Tachycardia Syndrome, Inappropriate Sinus Tachycardia, and Vasovagal Syncope

2015· article· en· W2133700167 on OpenAlexaffabout
Robert S. Sheldon, Blair P. Grubb, Brian Olshansky, Win-Kuang Shen, Hugh Calkins, Michele Brignole, Satish R. Raj, Andrew D. Krahn, Carlos A. Morillo, Julian M. Stewart, Richard Sutton, Paola Sandroni, Karen J. Friday, Denise Hachul, Mitchell I. Cohen, Dennis H. Lau, Kenneth A. Mayuga, Jeffrey P. Moak, Roopinder K. Sandhu, Khalil Kanjwal

Bibliographic record

VenueHeart Rhythm · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsUniversity of AlbertaMcMaster UniversityPopulation Health Research InstituteUniversity of British ColumbiaLibin Cardiovascular Institute of Alberta
FundersBiosense WebsterSt. Jude MedicalNational Heart, Lung, and Blood InstituteImpulse DynamicsIronwood Pharmaceuticals, IncorporatedUniversity of PennsylvaniaCleveland ClinicH. Lundbeck A/SBoston Scientific CorporationHeart Rhythm SocietyAmerican Heart Association
KeywordsMedicineHeart RhythmVasovagal syncopeSinus rhythmInternal medicineCardiologyTachycardiaCanadian Cardiovascular SocietySyncope (phonology)Atrial fibrillation

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)0.024
metaresearch head score (Gemma)0.049
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 score0.024
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.049
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.009
Bibliometrics0.0050.002
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0070.003
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0040.003

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 head0.037
GPT teacher head0.288
Teacher spread0.251 · 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

Citations985
Published2015
Admission routes2
Has abstractno

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