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Record W2997143138 · doi:10.1002/pmrj.12310

Dynamic Ultrasound Imaging for Anterior Snapping Shoulder: Coracoacromial Ligament Is in Play

2019· letter· en· W2997143138 on OpenAlexaff
Mathieu Boudier‐Revéret, Ke‐Vin Chang, Wei‐Ting Wu, Levent Özçakar

Bibliographic record

VenuePM&R · 2019
Typeletter
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversité de Montréal
FundersMinistry of Science and Technology
KeywordsAcromionUltrasoundSubacromial bursaAnatomyMedicineGreater TuberosityHumerusLigamentRotator cuffRadiology

Abstract

fetched live from OpenAlex

Video S1 Dynamic subacromial impingement maneuver while the ultrasound probe is positioned between the acromion and the greater tuberosity of the humerus. Grade 2 impingement of the supraspinatus tendon and SAD bursa under the acromion is seen initially without snapping. Dynamic ultrasound exam over the CAL in its longitudinal axis reproduces the snapping phenomenon, which is seen to be due to the focally thickened SAD bursa under the CAL. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0090.004
Insufficient payload (model declined to judge)0.0160.004

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 head0.020
GPT teacher head0.322
Teacher spread0.302 · 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 designObservational
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

Citations2
Published2019
Admission routes1
Has abstractyes

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Same venuePM&RSame topicShoulder Injury and TreatmentFrench-language works237,207