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Record W2079689523 · doi:10.1097/bot.0b013e318206898b

The Plate–Joystick Technique to Reduce Proximal Humeral Fractures and Nonunions With a Varus Deformity Through the Extended Deltoid-Splitting Approach

2011· article· en· W2079689523 on OpenAlexaff
C. M. Robinson, Dominic Inman, Sally-Anne Phillips

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2011
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicineReduction (mathematics)Internal fixationDeltoid curveDeformitySubluxationVarus deformitySurgeryProximal humerusOrthodonticsOsteoarthritis

Abstract

fetched live from OpenAlex

Fractures and nonunions in which there is a varus deformity of the humeral head producing posterinferior subluxation of the articular surface are increasingly recognized as an important subgroup of proximal humeral fractures. Operative open reduction and internal fixation of these injuries is often recommended when the varus deformity is severe. We describe a simple technique to assist in the open reduction and locking plate stabilization of this challenging and complex fracture subtype using tools and implants that are readily available in most modern orthopaedic trauma operating rooms.

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)0.000
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.308
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

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

Citations5
Published2011
Admission routes1
Has abstractyes

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