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Record W4210590926 · doi:10.1055/s-0042-1742891

Characteristics and Outcomes of Patients Undergoing Screening for Transcatheter Mitral Valve Implantation: Results from the CHOICE-MI Registry

2022· article· en· W4210590926 on OpenAlexaff
Sebastian Ludwig, A. W. Ben, Alison Duncan, Jessica Weimann, Georg Nickenig, Jörg Hausleiter, S. Baldus, Hendrik Ruge, Ralph Stephan von Bardeleben, Thomas Walther, Sabine Bleiziffer, Jörg Kempfert, Juan F. Granada, Gilbert H.L. Tang, Stefan Blankenberg, H. Reichenspurner, Thomas Modine, Lenard Conradi

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineMitral regurgitationRetrospective cohort studyCardiologyInternal medicineMitral valveSurgery

Abstract

fetched live from OpenAlex

Background: There is a considerable portion of patients with mitral regurgitation (MR) unsuitable for standard therapy as recommended by current guidelines. Transcatheter mitral valve implantation (TMVI) represents a novel therapeutic alternative for these patients. The CHOICE-MI registry is a global, retrospective study aiming to assess outcomes of MR patients evaluated for TMVI who are unsuitable for standard therapy.

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 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)0.001
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 score0.063
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.003
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 head0.021
GPT teacher head0.296
Teacher spread0.275 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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