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Record W2066566824 · doi:10.1097/bot.0b013e3181ca3fd1

The Radiographic Union Scale in Tibial Fractures: Reliability and Validity

2010· article· en· W2066566824 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.

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2010
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsSt. Michael's HospitalInstitute for Work & HealthUniversity of TorontoMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineRadiographyBone healingReliability (semiconductor)Orthopedic surgeryOrthodonticsBony unionSurgeryPhysical therapyProsthesis

Abstract

fetched live from OpenAlex

Radiographic assessment of tibial fracture healing continues to pose significant challenges to both routine fracture care and clinical research. Orthopaedic surgeons fail to achieve sufficient agreement on fracture healing when using conventional radiographic measures such as their general impression or the number of cortices bridged by callus. Moreover, the extent to which radiographic assessment of healing corresponds to patient-important outcomes is largely unknown. In an attempt to improve the former (ie, reliability) and inform the latter (ie, validity), recent studies have explored a novel radiographic assessment for tibial shaft fractures, the Radiographic Union Scale for Tibial fractures (RUST). The RUST score assesses the presence of bridging callus and that of a fracture line on each of 4 cortices seen on 2 orthogonal radiographic views. A recent study has found that RUST scores have greater inter-rater reliability when compared with surgeon's general impression or the number of cortices bridged by callus. This may increase the utility of radiographs as a standardized measure of treatment efficacy in the follow-up of tibial fractures.

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)0.001
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 score0.113
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.280
Teacher spread0.267 · 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