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Record W2001866583 · doi:10.1111/petr.12303

Optical coherence tomography for the evaluation of asymmetric cardiac allograft vasculopathy in a child

2014· article· en· W2001866583 on OpenAlexaff
Steven C. Greenway, Martin Hosking, Kevin C. Harris

Bibliographic record

VenuePediatric Transplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsBC Children's HospitalUniversity of British ColumbiaAlberta Children's Hospital
Fundersnot available
KeywordsMedicineCardiac allograft vasculopathyOptical coherence tomographyCoronary artery diseaseCoronary angiographyTransplantationSirolimusCardiologyDiseaseHeart transplantationAngiographyInternal medicineRadiology

Abstract

fetched live from OpenAlex

We present an unusual case of CAV in a child with isolated disease in the LAD coronary artery. Initial progression of the disease appeared to have been halted by the use of sirolimus, but the assessment of disease in other vessels (particularly the RCA) was of particular importance in deciding whether or not to relist this patient for transplantation. Due to the known limitations of coronary angiography, we used OCT to assess for angiographically silent CAV. The normal intravascular appearance of the RCA by OCT was reassuring, and the child was not relisted for transplantation. OCT offers multiple advantages for the assessment of CAV in children.

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)0.002
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.319
Teacher spread0.292 · 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
Published2014
Admission routes1
Has abstractyes

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