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Record W4407965375 · doi:10.1016/j.jaccas.2024.103225

The Interscapular Lift

2025· article· en· W4407965375 on OpenAlexaff
Chase J. Ellingson, Jyotpal Singh, Neha Mehta, Danielle Dressler, Payam Dehghani

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsGenome Prairie
Fundersnot available
KeywordsLift (data mining)MedicineComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: Transradial cardiac catheterization has gained popularity because of its reduced risk of access-site complications, yet procedural failures remain frequent, often caused by subclavian artery tortuosity. We propose an alternative maneuver to improve procedural success rates, addressing the challenge of subclavian artery tortuosity more efficiently than existing time-consuming and resource-intensive techniques. KEY STEPS: Place a towel between the patient's scapulae to retract the shoulders before advancing the catheter. POTENTIAL PITFALLS: Aside from the increased time taken to place the towel and patient discomfort, no pitfalls are anticipated when attempting this maneuver. TAKE-HOME MESSAGES: In cases of severe subclavian artery tortuosity, positioning the patient supine with a towel between the scapulae can facilitate successful transradial cardiac catheterization.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.145

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.007
GPT teacher head0.292
Teacher spread0.285 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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