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Outcome analysis of ulnar shortening osteotomy for ulnar impaction syndrome

2012· article· en· W4252123182 on OpenAlexaff
Courtney Fulton, Ruby Grewal, Kenneth J. Faber

Bibliographic record

VenuePlastic Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsHand and Upper Limb Clinic
Fundersnot available
KeywordsImpactionMedicineOutcome (game theory)OsteotomySurgeryEconomics

Abstract

fetched live from OpenAlex

P ain on the ulnar side of the wrist is common and can arise from acute trauma, chronic degeneration or overuse (1). The ulnar side of wrist has been called the "black box" of the wrist because of its complex anatomy, the extensive differential diagnosis and difficulty in treatment (1). Ulnar-sided wrist pain can be frustrating to manage for both the patient and the physician, especially because significant pain can be present without any radiographic cause (2). The differential diagnosis in patients with ulnar-sided wrist pain includes ulnar impaction syndrome (UIS), degenerative arthritis, triangular fibrocartilage complex (TFCC) pathology, carpal ligament tears and instability, extensor carpi ulnaris (ECU) and flexor carpi ulnaris tendinosis, and incongruity of the distal radioulnar joint (DRUJ) The extensive range of etiologies of pain is associated with a broad age group. In the younger age groups, it is often associated with vocational injuries.

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)0.007
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 score0.019
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
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 head0.047
GPT teacher head0.315
Teacher spread0.268 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

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