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Record W4404991797 · doi:10.1016/j.jseint.2024.11.014

Lower trapezius tendon transfer for massive irreparable rotator cuff tears improves outcomes in patients with high grade fatty infiltration of teres minor

2024· article· en· W4404991797 on OpenAlex
Eva M. Gusnowski, Eric R. Wagner, Sheila McRae, Hayden L. Cooke, Anthony L. Karzon, Michael B. Gottschalk, Peter B. MacDonald, Jarret M. Woodmass

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJSES International · 2024
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of ManitobaPan Am Clinic
FundersDepartment of Surgery, University of Manitoba
KeywordsRotator cuffTearsMedicineTendonSurgery

Abstract

fetched live from OpenAlex

Background: This study compares postoperative outcomes of lower trapezius tendon transfers (LTTTs) in massive irreparable rotator cuff (RC) tears based on the degree of teres minor (TM) fatty infiltration. Methods: < .05. Results: = .931). Conclusion: LTTT is a suitable salvage procedure regardless of the degree of TM fatty infiltration and should be considered an alterative procedure to latissimus dorsi tendon transfer in patients with high-grade TM fatty infiltration.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.385

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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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