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Record W3107727294 · doi:10.1016/j.xjtc.2020.11.009

Commentary: Enhanced open transcatheter mitral valve replacement: The ultimate hybrid approach

2020· editorial· en· W3107727294 on OpenAlexaff
Jean Porterie, Dimitri Kalavrouziotis, Siamak Mohammadi

Bibliographic record

VenueJTCVS Techniques · 2020
Typeeditorial
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineMitral valve replacementPeriprostheticMitral regurgitationMitral valveCardiologyVentricular outflow tract obstructionProsthesisValve replacementSurgeryVentricular outflow tractInternal medicineStenosisArthroplasty

Abstract

fetched live from OpenAlex

In symptomatic mitral valve disease with severe mitral annular calcification (MAC), mitral valve replacement is challenging, and decalcification carries a risk of serious injury to the atrioventricular groove, especially in elderly patients. In such situations, an open-heart deployment of a balloon-expandable aortic prosthesis was proposed as a safer alternative to avoid a potentially hazardous decalcification. However, this technique may have several disadvantages, including the risk of periprosthetic leakage or obstruction of the left ventricular outflow tract (LVOT).

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)0.002
metaresearch head score (Gemma)0.018
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: Editorial · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.005
Open science0.0030.001
Research integrity0.0400.037
Insufficient payload (model declined to judge)0.0130.010

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 head0.015
GPT teacher head0.348
Teacher spread0.334 · 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
GenreEditorial

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

Citations0
Published2020
Admission routes1
Has abstractyes

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