MétaCan
Menu
Back to cohort
Record W3179707381 · doi:10.2106/jbjs.rvw.20.00151

Distal Biceps Tendon Tears: Diagnosis and Treatment Algorithm

2021· article· en· W3179707381 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

VenueJBJS Reviews · 2021
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsSt Joseph's Health CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineTearsBicepsAponeurosisBiceps tendonPhysical examinationElbowTendonForearmSurgeryPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

»: Distal biceps tendon (DBT) tears occur most commonly in middle-aged men after a sudden, forced eccentric contraction of the flexed elbow. »: An understanding of the multiple risk factors, mechanisms, and pathophysiological causes is essential for proper and timely diagnosis. »: High clinical suspicion and routine physical examination with appropriate special examination tests, including the hook test, the passive forearm pronation test, the biceps crease interval test, and the bicipital aponeurosis flex test, can help with rapid and accurate diagnosis and guide appropriate and timely management. »: Treatment for DBT tears depends on the extent (complete versus incomplete) and timing (acute versus chronic) of the injury, and options include nonoperative management, repair, and reconstruction with or without repair of the bicipital aponeurosis.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.059
GPT teacher head0.330
Teacher spread0.271 · 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