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Record W4285819035 · doi:10.2106/jbjs.cc.22.00097

Precontouring Plates for MIS Bilateral Femur Osteosynthesis Using a Patient-Specific 3D Printed Model

2022· article· en· W4285819035 on OpenAlex
Stephanus Johannes Van Deventer, Joshua Qua Hiansen, Chris Kim, Azad Mashari, Michael G. Zywiel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJBJS Case Connector · 2022
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsToronto General HospitalUniversity Health NetworkToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsOsteosynthesisFemur3d printedOrthodonticsMedicineBiomedical engineeringSurgery

Abstract

fetched live from OpenAlex

CASE: A 27-year-old woman with increasing bilateral thigh pain and underlying diagnosis of dysosteosclerosis was diagnosed with bilateral impending pathological femur fractures. Both femurs exhibited abnormal morphology with bowing, thickened cortices, and narrow intramedullary canals. We planned minimally invasive prophylactic plate osteosynthesis. Computed tomography scans of both femora were obtained and used to generate 3-dimensional (3D) printed models. Osteosynthesis plates were precontoured to fit the 3D models and sterilized, and prophylactic fixation was performed using a minimally invasive submuscular technique. CONCLUSION: 3D printed models aided in precontouring fixation plates in a case with challenging bony anatomy, enabling minimally invasive surgery.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.024
GPT teacher head0.225
Teacher spread0.201 · 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