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Record W1978000500 · doi:10.2310/7070.2005.4030

Endoscopic Repair of Orbital Floor Fractures: Computed Tomographic Analysis Using a Cadaveric Model

2006· article· en· W1978000500 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Journal of Otolaryngology · 2006
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsWestern University
Fundersnot available
KeywordsCadaveric spasmMedicineCadaverComputed tomographicSurgeryOrbit (dynamics)EndoscopyNuclear medicineComputed tomography

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the efficiency (and accuracy) of endoscopic repair versus transconjunctival repair for orbital floor fractures in a cadaveric model. METHODS: In nine fresh cadavers, a standardized technique created orbital floor fractures. One orbit was repaired using an endoscopic transantral approach, whereas the other was repaired using a standard transconjunctival approach. Commercially available implants were used for floor reconstruction. A validated computed tomographic volumetric analysis of the orbits was performed at three time points: prefracture, postfracture, and postrepair. Student's t-test analyzed the percentage of volume change in the prefracture and postrepair stages for each approach. RESULTS: The percentage of change between the prefracture and postrepair states was not statistically significant for transconjunctival (p = .834) or endoscopic (p = .366) repair. The average differences between transconjunctival repair and endoscopic repair were not statistically significant (p = .732). CONCLUSIONS: This study objectively confirms the efficiency of the endoscopic repair of orbital floor fractures when compared with traditional techniques in the cadaveric model.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.276
Teacher spread0.260 · 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