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Record W2969908247 · doi:10.1142/s2424835519300019

Evolution of the Ring Concept for the Forearm and Its Implication on Treatment: From Galeazzi, Monteggia, Essex-Lopresti, and Darrach to the Current Era

2019· article· en· W2969908247 on OpenAlexaff
Kate Elzinga, Kevin C. Chung

Bibliographic record

VenueThe Journal of Hand Surgery (Asian-Pacific Volume) · 2019
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSouth Health CampusUniversity of Calgary
FundersNational Aeronautics and Space Administration
KeywordsForearmMedicineInterosseous membraneUlnaLigamentDistal radioulnar jointAnatomySurgery

Abstract

fetched live from OpenAlex

Geometrically, rings distribute their stress along their arc instead of concentrating at any one point. The forearm ring is composed of the radius, ulna, proximal radioulnar joint, and distal radioulnar joint. The annular ligament, interosseous membrane, and triangular fibrocartilage complex link and stabilize the ring. Injuries to the forearm occur along a continuum with recognized patterns of ring disruption, including Galeazzi, Monteggia, and Essex-Lopresti injuries. The Darrach procedure causes a disruption to the forearm ring and can lead to painful convergence between the radius and distal ulnar stump. Injuries to the forearm ring are unstable. Management of forearm injuries is centered on the restoration of the anatomy and stability of the forearm ring. Forearm ring injuries and their treatment are discussed in this 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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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