MétaCan
Menu
Back to cohort
Record W4391882831 · doi:10.24875/acm.24000002

Resumen: Consenso internacional para la nomenclatura y clasificación de la válvula aórtica bicúspide congénita y su aortopatía, con fines clínicos, quirúrgicos, intervencionistas y de investigación

2024· article· es· W4391882831 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

VenueArchivos de cardiología de México · 2024
Typearticle
Languagees
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsWestern UniversityUniversity of British ColumbiaSt. Paul's HospitalUniversité LavalLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineHumanitiesGynecologyPhilosophy

Abstract

fetched live from OpenAlex

This consensus of nomenclature and classification for congenital bicuspid aortic valve and its aortopathy is evidence-based and intended for universal use by physicians (both pediatricians and adults), echocardiographers, advanced cardiovascular imaging specialists, interventional cardiologists, cardiovascular surgeons, pathologists, geneticists, and researchers spanning these areas of clinical and basic research. In addition, as long as new key and reference research is available, this international consensus may be subject to change based on evidence-based data1.

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)0.016
metaresearch head score (Gemma)0.033
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0020.006
Scholarly communication0.0030.003
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.004

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 head0.022
GPT teacher head0.370
Teacher spread0.347 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueArchivos de cardiología de MéxicoSame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207