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Record W2052203454 · doi:10.4303/jot/235627

Fractures of the Clavicle: Which X-Ray Projection Provides the Greatest Accuracy in Determining Displacement of the Fragments?

2013· article· en· W2052203454 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Orthopaedics and Trauma · 2013
Typearticle
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
FundersUniversity of Toronto
KeywordsClavicleProjection (relational algebra)Displacement (psychology)X-rayGeometryOrthodonticsGeologyMathematicsComputer scienceComputer visionAlgorithmOpticsPhysicsMedicinePaleontologyPsychology

Abstract

fetched live from OpenAlex

Recent studies favor surgical management of displaced clavicle fractures. Displacement is measured using anterior-posterior (AP) X-rays. Since displacement can occur in all three dimensions, however, standard methods of evaluation can be difficult and inaccurate. This study was conducted to determine the X-ray angle that provides the most accurate assessment. Nine CT scans of acute displaced clavicle fractures were analyzed with AmiraDev imaging software. 3D measurements for degrees of shortening and fracture displacement of the fracture clavicle were taken. Using a segmentation and manipulation module, five digitally reconstructed radiographs (DRRs) mimicking AP X-rays were created for every CT, with each DDR differing slightly by projection angle. After comparison to the original CTs, all samples using an AP view with a 20downward tilt yielded displacements closest to the 3D "gold standard" or true measurements. Therefore, it is suggested that using this projection would provide the most accurate indication of fracture displacement.

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 score0.047
Threshold uncertainty score0.177

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 head0.013
GPT teacher head0.329
Teacher spread0.316 · 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