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Record W2085902249 · doi:10.1177/0218492313485070

Double-valve surgery in Shprintzen-Goldberg syndrome

2013· article· en· W2085902249 on OpenAlexaff
Elsayed Elmistekawy, Christopher Hudson, Anne Williams, Thierry Mesana

Bibliographic record

VenueAsian Cardiovascular and Thoracic Annals · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. John’s Health Sciences CentreUniversity of OttawaOttawa Heart Institute
Fundersnot available
KeywordsMedicineThoracotomySurgeryMitral valve replacementAtrial fibrillationMitral valveDeformityCardiology

Abstract

fetched live from OpenAlex

We describe the challenging case of a 28-year-old Jehovah's Witness patient who presented with symptomatic mitral and tricuspid valve disease and Shprintzen-Goldberg syndrome. This is the first reported double-valve surgery in such a patient who, apart from chest deformity, had a small body size, severe lung disease, difficult airway and vascular access, and to add to the complexity, refused blood and blood product use. The patient underwent a successful mitral valve replacement and tricuspid valve repair through a right thoracotomy. Apart from atrial fibrillation, he had a smooth hospital course and was discharged home on postoperative day 9.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.339
Teacher spread0.305 · 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 designCase report
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

Citations5
Published2013
Admission routes1
Has abstractyes

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