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Record W1995432736 · doi:10.5435/jaaos-20-05-320

The Treatment of Pediatric Supracondylar Humerus Fractures

2012· article· en· W1995432736 on OpenAlexaff
Andrew Howard, Kishore Mulpuri, Mark F. Abel, Stuart V. Braun, Matthew J. Bueche, Howard R. Epps, Harish S. Hosalkar, Charles T. Mehlman, Susan A. Scherl, Charles M. Turkelson, Janet L. Wies, Kevin Boyer

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2012
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsBC Children's HospitalHospital for Sick Children
Fundersnot available
KeywordsMedicineHumerusSurgeryFixation (population genetics)Reduction (mathematics)Orthodontics

Abstract

fetched live from OpenAlex

Based on the best current evidence and a systematic review of published studies, 14 recommendations have been created to guide clinical practice and management of supracondylar fractures of the humerus in children. Two each of these recommendations are graded Weak and Consensus; eight are graded Inconclusive. The two Moderate recommendations include nonsurgical immobilization for acute or nondisplaced fractures of the humerus or posterior fat pad sign, and closed reduction with pin fixation for displaced type II and III and displaced flexion fractures.

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)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.324
Teacher spread0.297 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations125
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Academy of Orthopaedic SurgeonsSame topicElbow and Forearm Trauma TreatmentFrench-language works237,207