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Record W2747106912 · doi:10.1016/j.jacc.2017.07.714

Transcatheter Mitral Valve Replacement for Degenerated Bioprosthetic Valves and Failed Annuloplasty Rings

2017· article· en· W2747106912 on OpenAlexaff
Sung-Han Yoon, Brian Whisenant, Sabine Bleiziffer, Victoria Delgado, Niklas Schofer, Lena Eschenbach, Buntaro Fujita, Rahul Sharma, Marco Ancona, Ermela Yzeiraj, Stefano Cannata, Colin M. Barker, James E. Davies, Antonio H. Frangieh, Florian Deuschl, Tomaž Podlesnikar, Masahiko Asami, Abhijeet Dhoble, Anthony Chyou, Jean‐Bernard Masson, Harindra C. Wijeysundera, Daniel J. Blackman, Rajiv Rampat, Maurizio Taramasso, Enrique Gutiérrez, Tarun Chakravarty, Guiherme F. Attizzani, Tsuyoshi Kaneko, S. Chiu Wong, Horst Sievert, Fabian Nietlispach, David Hildick‐Smith, Luis Nombela‐Franco, Lenard Conradi, Christian Hengstenberg, Michael J. Reardon, Albert Markus Kasel, Simon Redwood, Antonio Colombo, Saibal Kar, Francesco Maisano, Stephan Windecker, Thomas Pilgrim, Stephan Ensminger, Bernard Prendergast, Joachim Schöfer, Ulrich Schäfer, Jeroen J. Bax, Azeem Latib, Raj Makkar

Bibliographic record

VenueJournal of the American College of Cardiology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSunnybrook Health Science CentreCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineMitral valve replacementEjection fractionCardiologyInternal medicineMitral valveMitral regurgitationMechanical valveSurgeryHeart failure

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.313
Teacher spread0.299 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations219
Published2017
Admission routes1
Has abstractno

Explore more

Same venueJournal of the American College of CardiologySame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207