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Record W2031780768 · doi:10.1115/1.3005149

Linear and Torsional Mechanical Characteristics of Intact and Reconstructed Scapholunate Ligaments

2009· article· en· W2031780768 on OpenAlexaff
Rad Zdero, Michael Olsen, Salah Elfatori, T. Skrinskas, Hamid Nourhosseini, Cari Whyne, Emil H. Schemitsch, Herb von Schroeder

Bibliographic record

VenueJournal of Biomechanical Engineering · 2009
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoUniversity Health NetworkToronto Western HospitalOttawa HospitalSt. Michael's Hospital
Fundersnot available
KeywordsStiffnessTorqueLigamentTorsion (gastropod)TendonMaterials scienceAnatomyStructural engineeringMedicinePhysicsComposite materialEngineering

Abstract

fetched live from OpenAlex

The mechanical behavior of human scapholunate ligaments is not well understood. Presently, intact scapholunate specimens were mechanically tested in linear distraction and torsion. Fresh bovine tendon grafts were used to reconstruct the scapholunate interval and the tests repeated. Tests yielded the following average values for intact specimens: linear stiffness (48.9 Nmm), linear load retained at 100 s (44%), torsional stiffness (19.5 N mmdeg), torque remaining at 100 seconds (66%), torque-to-failure (1253.9 N mm), and angle-to-failure (50.4 deg). Tests showed the following average values for reconstructed specimens: linear stiffness (5.4 Nmm), linear load retained at 100 s (49%), torsional stiffness (12.6 N mmdeg), torque remaining at 100 s (71%), torque-to-failure (936.8 N mm), and angle-to-failure (54.5 deg). There were no statistically significant differences between the intact and reconstructed specimens, with the exception of linear stiffness. Biomechanically, this is the first study in the literature to quantify torsional stress relaxation, failure torque, and failure angle for the intact and repaired human scapholunate ligament. Surgically, reconstruction with bovine tendon may warrant further investigation as a method to potentially retain function and strength after scapholunate injury.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.293

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 head0.008
GPT teacher head0.239
Teacher spread0.232 · 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 designBench or experimental
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

Citations18
Published2009
Admission routes1
Has abstractyes

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