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Record W3195842247 · doi:10.1093/eurheartj/ehab395

2021 ESC/EACTS Guidelines for the management of valvular heart disease

2021· article· en· W3195842247 on OpenAlexfundno aff
Alec Vahanian, Friedhelm Beyersdorf, Fabien Praz, Milan Milojevic, Stephan Baldus, Johann Bauersachs, Davide Capodanno, Lenard Conradi, Michele De Bonis, Ruggero De Paulis, Victoria Delgado, Nick Freemantle, Martine Gilard, Kristina H. Haugaa, Anders Jeppsson, Peter Jüni, Luc Piérard, Bernard Prendergast, Rafael Sádaba, Christophe Tribouilloy, Franz‐Josef Neumann, Patrick O. Myers, Magdy Abdelhamid, Stephan Achenbach, Riccardo Asteggiano, Fabio Barili, Michael A. Borger, Thierry Carrel, Jean‐Philippe Collet, Dan Foldager, Gilbert Habib, Christian Hassager, Alar Irs, Bernard Iung, Marjan Jahangiri, Hugo A. Katus, Konstantinos C. Koskinas, Steffen Massberg, Christian Mueller, Jens Cosedis Nielsen, Philippe Pîbarot, Amina Rakisheva, Marco Roffi, Andrea Rubboli, Е. V. Shlyakhto, Matthias Siepe, Marta Sitges, Lars Søndergaard, Miguel Sousa‐Uva, Guiseppe Tarantini, José Luis Zamorano, Christophe Tribouilloy, Yasmina Benchabi, A. L. Chilingaryan, Bernhard Metzler, Yasmin Rustamova, Vadim Shumavets, Patrizio Lancellotti, Elnur Smajić, Diana Trendafilova‐Lazarova, Jure Samardžić, Maria Karakyriou, Tomáš Paleček, Jordi S. Dahl, Marwa Meshaal, Kairit Palm, Marko Virtanen, Claire Bouleti, Zviad Bakhutashvili, Maria Boutsikou, Attila Kertész, Ragnar Danielsen, Yan Topilsky, Paolo Golino, Rustem Tuleutayev, Shpend Elezi, Alina Kerimkulov, Ainārs Rudzītis, Sigita Glaveckaitė, Rouguiatou Sow, Daniela Cassar Demarco, Nebojša Bulatović, A Aouad, Renée van den Brink, Emilija Antova, Jan Otto Beitnes, Andrzej Ochała, Regina Ribeiras, Dragoş Vinereanu, O. B. Irtyuga, Branislava Ivanovic, Iveta Šimková, Ariana González Gómez, Giovanna Sarno, Giovanni Pedrazzini, Walid Bsata, Lilia Zakhama, Levent Korkmaz, S. V. Cherniuk, Mohammed Y Khanji, Islamjan Sharipov

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
FundersErasmus Universitair Medisch Centrum RotterdamArts and Humanities Research CouncilUniwersytet Śląski w KatowicachŚląski Uniwersytet Medyczny w KatowicachUniversitätsklinikum KölnTürk Kardiyoloji DerneğiInternational Medical UniversityBritish Cardiovascular SocietyMedizinischen Hochschule HannoverUniversitetet i OsloUniversity of TorontoCleveland ClinicUniversity College LondonInselspital, Universitätsspital BernSahlgrenska UniversitetssjukhusetUniversiteit LeidenSociedad Española de CardiologíaUniversity of Bern
KeywordsMedicinevalvular heart diseaseInternal medicineCardiologyDisease managementIntensive care medicineDisease

Abstract

fetched live from OpenAlex

Association for Acute CardioVascular Care (ACVC), European Association of Cardiovascular Imaging (EACVI), European Association of Percutaneous Cardiovascular Interventions (EAPCI), European Heart Rhythm Association (EHRA), Heart Failure Association (HFA).Councils: Council on Valvular Heart Disease.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0310.025

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 head0.091
GPT teacher head0.414
Teacher spread0.324 · 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

Citations5,465
Published2021
Admission routes1
Has abstractyes

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