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Record W2802445017 · doi:10.1016/j.jacc.2018.02.054

1-Year Outcomes of Transcatheter Mitral Valve Replacement in Patients With Severe Mitral Annular Calcification

2018· article· en· W2802445017 on OpenAlexaff
Mayra Guerrero, Marina Ureña, Dominique Himbert, Dee Dee Wang, Mackram F. Eleid, Susheel Kodali, Isaac George, Tarun Chakravarty, Moses Mathur, David Holzhey, Ashish Pershad, Hao Fang, Daniel O’Hair, Noah Jones, Vaikom S. Mahadevan, Nicolas Dumonteil, Josep Rodés‐Cabau, Nicolò Piazza, Enrico Ferrari, Daniel Ciaburri, Mohammed Nejjari, Augustin DeLago, Paul Sorajja, Firas Zahr, Vivek Rajagopal, Brian Whisenant, Pinak Shah, Jan‐Malte Sinning, Adam Witkowski, Hélène Eltchaninoff, Danny Dvir, Martin Beňa, Guilherme F. Attizzani, Diego Felipe Gaia, Nágela Simão Vinhosa Nunes, Amir-Ali Fassa, Faraz Kerendi, Gregory Pavlides, Vijay Iyer, Georges Kaddissi, Christian Witzke, James H. Wudel, Gregory Mishkel, Bryan Raybuck, Chi Wang, Ron Waksman, Igor F. Palacios, Alain Cribier, John G. Webb, Vinnie Bapat, Mark Reisman, Raj Makkar, Martin B. Leon, Charanjit S. Rihal, Alec Vahanian, William O’Neill, Ted Feldman

Bibliographic record

VenueJournal of the American College of Cardiology · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Paul's HospitalRoyal Victoria HospitalUniversité Laval
FundersAbbott VascularBoston Scientific CorporationEdwards LifesciencesMedtronic
KeywordsMedicineEjection fractionMitral valve replacementMitral regurgitationCardiologyInternal medicineMitral valveCalcificationValve replacementBalloonSurgeryHeart failureStenosis

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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 teacher head, 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

Citations361
Published2018
Admission routes1
Has abstractno

Explore more

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