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Record W2074739237 · doi:10.1097/bpo.0b013e318255b19f

Flexibility in Fixation

2012· article· en· W2074739237 on OpenAlexaff
Unni Narayanan, Jonathan H. Phillips

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2012
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsIntramedullary rodMedicineFemurFixation (population genetics)Flexibility (engineering)SurgeryExternal fixationBroad spectrumExternal fixator

Abstract

fetched live from OpenAlex

Although non-operative strategies remain a viable option for the management of some children's femur fractures, surgical management has become more popular and predictable, with potential complications better recognized and thus more easily avoided. This paper addresses the operative management of children's femur fractures highlighting the multiple techniques available to treat the spectrum of pediatric femur fractures. We present the applications of Elastic Stable Intramedullary Nailing and Locked intramedullary nailing, sub-muscular or open plating, and external fixation, and discuss the relative advantages and shortcomings of each technique. Cases are presented for illustration.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.231

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 head0.028
GPT teacher head0.311
Teacher spread0.283 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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