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Record W4210803048 · doi:10.1016/j.jacc.2021.11.041

A Score to Assess Mortality After Percutaneous Mitral Valve Repair

2022· article· en· W4210803048 on OpenAlexaff
Sergio Raposeiras‐Roubín, Marianna Adamo, Xavier Freixa, Dabit Arzamendi, Tomás Benito‐González, Antonio Montefusco, Isaac Pascual, Luis Nombela‐Franco, Josep Rodés‐Cabau, Mony Shuvy, Antonio Portolés‐Hernández, Cosmo Godino, Berenice Caneiro‐Queija, Laura Lupi, Ander Regueiro, Chin Hion Li, Felipe Fernández‐Vázquez, Simone Frea, Pablo Avanzas, Gabriela Tirado‐Conte, Jean‐Michel Paradis, Alona Peretz, Vanessa Moñivas, José Antonio Baz, Michele Galasso, Luca Branca, Laura Sanchís, Lluís Asmarats, Carmen Garrote‐Coloma, Filippo Angelini, Víctor León, Eduardo Pozo, Alberto Alperi, Rоnen Beeri, Dario Cani, Manel Sabaté, Estefanıa Fernández‐Peregrina, Javier Gualis, Pier Paolo Bocchino, Salvatore Curello, Emad Abu‐Assi, Andrés Íñiguez, Francesco Bedogni, Antonio Popolo Rubbio, Luca Testa, Carmelo Grasso, Rodrigo Estévez‐Loureiro

Bibliographic record

VenueJournal of the American College of Cardiology · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineEjection fractionInternal medicineCardiologyMitraClipHeart failureMitral regurgitationCohortFramingham Risk ScorePercutaneousSurgeryDisease

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.335
Teacher spread0.311 · 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 designSimulation or modeling
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

Citations108
Published2022
Admission routes1
Has abstractno

Explore more

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