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Record W2100661105 · doi:10.1093/eurheartj/ehp298

Guidelines for the diagnosis and management of syncope (version 2009): The Task Force for the Diagnosis and Management of Syncope of the European Society of Cardiology (ESC)

2009· article· en· W2100661105 on OpenAlexaff
Andrés Moyá, Richard Sutton, Fabrizio Ammirati, J.-J. Blanc, Michele Brignole, Johannes B. Dahm, Jean‐Claude Deharo, Jacek Gajek, Knut Gjesdal, Andrew Krahn, M Massin, Mauro Pepi, Thomas Pezawas, R. Ruiz Granell, François Sarasin, Andrea Ungar, J. Gert van Dijk, Edmond Walma, Wouter Wieling, Haruhiko Abe, David G. Benditt, Wyatt W. Decker, Blair P. Grubb, Horacio Kaufmann, Carlos A. Morillo, Brian Olshansky, Steve W. Parry, Robert S. Sheldon, Win‐Kuang Shen, Alec Vahanian, Jeroen J. Bax, Claudio Ceconi, V. Dean, Gerasimos Filippatos, Christian Funck‐Brentano, Richard Hobbs, Patricia M. Kearney, Theresa A. McDonagh, Keith McGregor, Bogdan A. Popescu, Željko Reiner, Udo Sechtem, Per Anton Sirnes, Michał Tendera, Panos Vardas, Petr Widimský, Esmeray Acartürk, Felicita Andreotti, Riccardo Asteggiano, Urs Bauersfeld, Abdelouahab Bellou, Athanase Bénétos, J. Brandt, Mina K. Chung, Pietro Cortelli, Antoine Da Costa, Fabrice Extramiana, José M. Ferro, B. Gorenek, Antti Hedman, Rafael Hirsch, G Kaliská, Rose Anne Kenny, K. P. Kjeldsen, Rachel Lampert, Henning Mølgard, Rain Paju, Aras Puodžiūkynas, Antonio Raviele, Martin Scherer, Ronald Schondorf, R. Sicari, Peter Vanbrabant, Christian Wolpert, J Zamorano

Bibliographic record

VenueEuropean Heart Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsSolana Networks (Canada)
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineJudgementGuardianSyncope (phonology)Clinical judgementHealth professionalsTask forceMedical prescriptionTask (project management)Medical emergencyHealth careIntensive care medicineNursingCardiologyManagementLaw

Abstract

fetched live from OpenAlex

The ESC Guidelines represent the views of the ESC and were arrived at after careful consideration of the available evidence at the time they were written. Health professionals are encouraged to take them fully into account when exercising their clinical judgement. The guidelines do not, however, override the individual responsibility of health professionals to make appropriate decisions in the circumstances of the individual patients, in consultation with that patient, and where appropriate and necessary the patient's guardian or carer. It is also the health professional's responsibility to verify the rules and regulations applicable to drugs and devices at the time of prescription.

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 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)0.011
metaresearch head score (Gemma)0.037
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: Methods · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0050.003
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0050.002
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0060.008

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 head0.054
GPT teacher head0.305
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
GenreMethods

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

Citations2,048
Published2009
Admission routes1
Has abstractyes

Explore more

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