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Record W2062210605 · doi:10.1583/03-1129r.1

<b>Video-Assisted Mini-Thoracotomy for Thoracic Stent-Graft Implantation:</b> A Novel Vascular Access for Endovascular Repair

2004· article· en· W2062210605 on OpenAlexaff
Pierre‐Luc Bernier, Roch Turcotte, J Normand, François Dagenais

Bibliographic record

VenueJournal of Endovascular Therapy · 2004
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsMontreal Heart InstituteCegep de Sainte Foy
Fundersnot available
KeywordsMedicineDescending aortaThoracotomySurgeryThoracic aortaAortic repairStentAortaLesionRadiology

Abstract

fetched live from OpenAlex

PURPOSE: To report a new access technique for endovascular treatment of penetrating ulcer of the proximal descending aorta. TECHNIQUE: When traditional access routes are unavailable, a 10-mm Dacron graft can be sutured to the distal descending aorta using a video-assisted mini-thoracotomy. Prerequisites for use of this novel approach are a focal lesion of the proximal descending aorta and a minimally diseased distal descending aorta for safe graft insertion. CONCLUSIONS: This procedure facilitates endovascular repair and obviates the risks of open surgery, which are especially beneficial in patients with significant comorbidities.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.073
GPT teacher head0.359
Teacher spread0.287 · 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

Citations12
Published2004
Admission routes1
Has abstractyes

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