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Record W2332202384 · doi:10.12945/j.aorta.2013.13-026

How Would You Correct an Aberrant Right Subclavian Artery?

2013· editorial· en· W2332202384 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAorta · 2013
Typeeditorial
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMedicineDysphagiaSubclavian arteryEsophagusRadiologyAortic archSurgeryAorta

Abstract

fetched live from OpenAlex

A 63-year-old female presented having suffered an embolic event to her right index finger. This resolved successfully with conservative treatment via development of collateral channels. The finger is fully viable, albeit mildly insensitive. She has had some dysphagia, with one specific choking episode when a lozenge became lodged in the esophagus, causing discomfort and cough until it dissolved spontaneously. Work-up revealed an aberrant right subclavian artery, with associated Kommerell’s dilatation and a 1 cm wide ulcerated area near its origin from the aorta, as well as an arteriosclerotic irregularity of the proximal subclavian artery. Passage of the aberrant subclavian artery behind the trachea and esophagus produced esophageal compression. See computed tomography (CT) scan images in Figure 1. The question regarding this case was: How would you correct this lesion? ● Open surgery ● Intraluminal endovascular treatment ● Combined surgical-endovascular approach (hybrid operation) with right subclavian artery transposition and thoracic aortic stent graft implantation ● Other approach

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.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
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 head0.009
GPT teacher head0.263
Teacher spread0.254 · 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