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Record W2951212367 · doi:10.1097/scs.0000000000005663

Spontaneous Osteogenesis of a Traumatic Mandibular Defect in the Pediatric Population

2019· article· en· W2951212367 on OpenAlexaff
Jordan Gornitsky, Alain J. Azzi, Sabrina Cugno

Bibliographic record

VenueJournal of Craniofacial Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsMontreal Children's HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineOrthodonticsPopulationDentistryEnvironmental health

Abstract

fetched live from OpenAlex

Spontaneous osteogenesis of traumatic mandibular defects in the pediatric population remains a relatively rare phenomenon with only 2 patients reported in the literature. In the adult population, a low threshold exists for bone graft placement in the presence of small mandibular gaps, with no role for spontaneous osteogenesis in significant mandibular defects. The approach to traumatic mandibular defects in the pediatric population is not clearly described in the literature and the risks and benefits associated with donor site morbidity of bone graft harvest must be tempered by the possibility for potential spontaneous osteogenesis. The present study reports 1 such patient in whom a significant mandibular defect healed by means of rigid fixation of the defect and spontaneous osteogenesis, with no functional or esthetic sequelae at long-term follow-up. A review of the pertinent literature was performed, and the authors' approach is discussed. The authors propose that traumatic mandibular defects of < 3 cm in patients under the age of 10 years should be considered for treatment with rigid internal fixation alone and spontaneous osteogenesis.

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 score0.010
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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