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Record W4412191387 · doi:10.1177/22925503251355976

First-Time Use of Diced Cartilage Glue Grafts for Post Trauma Orbital Rim Reconstruction

2025· article· en· W4412191387 on OpenAlexaff
Akhil Nair, Mark McRae, Matthew McRae, Joseph Catapano, Blake Murphy

Bibliographic record

VenuePlastic Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsContouringFibrin glueGLUERhinoplastyMedicineCartilageCraniofacialSurgeryDorsumAnatomyMaterials scienceNoseComputer science

Abstract

fetched live from OpenAlex

Diced cartilage glue graft is a technique where small pieces of diced cartilage are mixed with fibrin glue to form a malleable cohesive graft. This technique is routinely used in rhinoplasty or nasal dorsum augmentation. Here we present the case of a 52-year-old man who sustained craniofacial trauma and developed supraorbital irregularities following the primary reconstruction surgeries. We, for the first time, used diced glue graft technique to perform superomedial orbital rim reconstruction and contouring to resolve the irregularities. Based on our experience, this method can be successfully adapted for orbital rim reconstruction while achieving seamless contouring and enhanced aesthetic results.

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)0.008
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 score0.133
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.027
GPT teacher head0.246
Teacher spread0.219 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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