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Record W3127885718 · doi:10.2217/fca-2020-0152

Review of Frozen Elephant Trunk Repair With the Thoraflex Hybrid Device

2021· review· en· W3127885718 on OpenAlexaff
Vincent Chauvette, Maral Ouzounian, Jennifer Chung, Mark D. Peterson, Munir Boodhwani, Ismaı̈l El-Hamamsy, François Dagenais, Matthew Valdis, Michael Chu

Bibliographic record

VenueFuture Cardiology · 2021
Typereview
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsWestern UniversityUniversité LavalUniversity of OttawaUniversity of TorontoUniversité de Montréal
Fundersnot available
KeywordsElephant trunksMedicineAortic repairAortic archTrunkArchSurgeryAortaEngineeringStructural engineering

Abstract

fetched live from OpenAlex

The frozen elephant trunk technique has revolutionized aortic arch repair to enable more extensive arch and descending thoracic aortic treatment in a single setting. We review the current evidence supporting the use of the Thoraflex Hybrid (Terumo Aortic, FL, USA) device and discuss advantages, pitfalls and future design considerations.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.746
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
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 head0.043
GPT teacher head0.338
Teacher spread0.296 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2021
Admission routes1
Has abstractyes

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