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Record W4242946354 · doi:10.1097/prs.0b013e3181fad685

Reply: Internal Fixation of Mandibular Angle Fractures: A Meta-Analysis

2011· article· en· W4242946354 on OpenAlexaboutno aff
Eran Regev, Jeffery A. Fialkov

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal fixationReduction (mathematics)MolarOrthodonticsDentistryBone healingFracture (geology)RadiographyFixation (population genetics)SurgeryGeology

Abstract

fetched live from OpenAlex

Sir: We wish to thank Drs. Telang and Jagannathan for their commentary letter. It seems that they have an experience and approach very similar to ours. Indeed, a gap in the inferior border may appear in the postoperative radiographs as a result of a single superior border plate. The size of the gap is affected by the location and direction of the fracture line relative to the muscles of mastication (favorable versus unfavorable). Provided that the fracture is stable enough to allow good bony healing with no occlusal changes, this gap does not have, in our opinion, any clinical significance. We agree that comminution at the fracture site is a different scenario and requires load-bearing plates. This is the reason that such fractures were excluded from our study. The removal of a third molar in the line of fracture may complicate the reduction, fixation, and healing of the fracture by creating a bone defect. This changes the alignment of the fracture and reduces the bone stock for stabilization of the fracture. In contrast, when the removal of the third molar is not indicated, it can contribute to the stability and alignment of the fracture, although a longer plate may be necessary to avoid the tooth. Eran Regev, D.M.D., M.D. Jeffery A. Fialkov, M.D., M.S.C. Plastic Surgery Sunnnybrook Health Sciences Center Toronto, Ontario, Canada

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.069
GPT teacher head0.275
Teacher spread0.206 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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