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International Consensus Statement on Nomenclature and Classification of the Congenital Bicuspid Aortic Valve and Its Aortopathy, for Clinical, Surgical, Interventional and Research Purposes

2021· article· en· W3185957403 on OpenAlexaff
Héctor I. Michelena, Alessandro Della Corte, Arturo Evangelista, Joseph J. Maleszewski, William D. Edwards, Mary J. Roman, Richard B. Devereux, Borja Fernández, Federico M. Asch, Alex J. Barker, Lilia M. Sierra-Galán, Laurent de Kerchove, Susan M. Fernandes, Paul W.M. Fedak, Evaldas Girdauskas, Victoria Delgado, Suhny Abbara, Emmanuel Lansac, Siddharth K. Prakash, Malenka M. Bissell, Bogdan A. Popescu, Michael D. Hope, Marta Sitges, Vinod H. Thourani, Phillippe Pibarot, Krishnaswamy Chandrasekaran, Patrizio Lancellotti, Michael A. Borger, John K. Forrest, John G. Webb, Dianna M. Milewicz, Raj Makkar, Martin B. Leon, Stephen P. Sanders, Michael Markl, Victor A. Ferrari, William C. Roberts, Jae‐Kwan Song, Philipp Blanke, Charles S. White, Samuel C. Siu, Lars G. Svensson, Alan C. Braverman, Joseph E. Bavaria, Thoralf M. Sundt, Gébrine El Khoury, Ruggero De Paulis, Maurice Enriquez‐Sarano, Jeroen J. Bax, Catherine M Otto, Hans‐Joachim Schäfers

Bibliographic record

VenueThe Annals of Thoracic Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsWestern UniversitySt. Paul's HospitalUniversity of British ColumbiaUniversité LavalMontreal Heart InstituteLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersBiotronikBayer FundBoston Scientific CorporationUniverzita Karlova v PrazeEdwards LifesciencesNational Institute for Health and Care ResearchMedtronicCryoLifeNovartisBarcelona Supercomputing CenterMeso Scale DiagnosticsAbbott VascularGE HealthcareAbbott LaboratoriesMayo Clinic
KeywordsMedicineBicuspid aortic valveNomenclatureStatement (logic)Consensus conferenceAortic valveCardiologyIntensive care medicineInternal medicineEpistemology

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)0.027
metaresearch head score (Gemma)0.031
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 score0.027
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0060.004
Science and technology studies0.0020.005
Scholarly communication0.0040.002
Open science0.0060.003
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0030.003

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 head0.424
GPT teacher head0.520
Teacher spread0.095 · 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

Citations42
Published2021
Admission routes1
Has abstractno

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