MétaCan
Menu
Back to cohort
Record W3133780609 · doi:10.1016/j.jvscit.2021.02.003

A technical guide to supraclavicular thoracic outlet decompression

2021· article· en· W3133780609 on OpenAlexaff
Mohamad A. Hussain, Musaad AlHamzah, Mohammed Al‐Omran

Bibliographic record

VenueJournal of Vascular Surgery Cases and Innovative Techniques · 2021
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineThoracic outlet syndromeBrachial plexusThoracic outletDecompressionCervical ribRib cageSurgeryAnatomy

Abstract

fetched live from OpenAlex

Thoracic outlet syndrome (TOS) is an underdiagnosed and undertreated condition that occurs owing to neurogenic, arterial, and/or venous compression in the thoracic outlet.1 There are two main surgical approaches to TOS decompression: transaxillary and supraclavicular. The supraclavicular approach has several potential advantages, including that it allows for complete anterior and middle scalenectomy, resection of cervical and first ribs, brachial plexus neurolysis, and vascular reconstruction.1-4 The objective of this video guide was to demonstrate a comprehensive approach to supraclavicular TOS decompression.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0930.089

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 head0.026
GPT teacher head0.367
Teacher spread0.341 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Vascular Surgery Cases and Innovative TechniquesSame topicPeripheral Nerve DisordersFrench-language works237,207