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Record W3119890152 · doi:10.1302/2058-5241.6.200033

Humeral shaft fractures

2021· review· en· W3119890152 on OpenAlex
Nicolas Gallusser, Bardia Barimani, Frédéric Vauclair

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

VenueEFORT Open Reviews · 2021
Typereview
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeologyOrthodonticsMedicine

Abstract

fetched live from OpenAlex

Humeral shaft fractures are relatively common, representing approximately 1% to 5% of all fractures. Conservative management is the treatment of choice for most humeral shaft fractures and offers functional results and union rates that are not inferior to surgical management. Age and oblique fractures of the proximal third are risk factors for nonunion. Surgical indication threshold should be lower in patients older than 55 years presenting with this type of fracture. Functional outcomes and union rates after plating and intramedullary nailing are comparable, but the likelihood of shoulder complications is higher with intramedullary nailing. There is no advantage to early exploration of the radial nerve even in secondary radial nerve palsy. Cite this article: EFORT Open Rev 2021;6:24-34. DOI: 10.1302/2058-5241.6.200033

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.152
GPT teacher head0.492
Teacher spread0.340 · 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