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Record W1973364996 · doi:10.1115/sbc2007-176627

Assessment of a Novel Technique for In-Vivo Investigation of Joint Cartilage Deformation Characteristics

2007· article· en· W1973364996 on OpenAlexaff
Ion Robu, Janet L. Ronsky, Richard Frayne, Ayman Habib

Bibliographic record

VenueASME 2007 Summer Bioengineering Conference · 2007
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsFoothills Medical CentreArthritis Research Centre of CanadaUniversity of Calgary
Fundersnot available
KeywordsIndentationCadaveric spasmMaterials scienceCartilageJoint (building)Biomedical engineeringIn vivoDeformation (meteorology)Articular cartilageMagnetic resonance imagingCompression (physics)Composite materialAnatomyStructural engineeringOsteoarthritisRadiologyPathologyMedicine

Abstract

fetched live from OpenAlex

Cartilage is characterized by unique biomechanical and morphological properties. These properties are dictated mainly by the visco-elastic behavior of the interstitial matrix. Attempts to quantify the biomechanical properties of cartilage have been based on in-vitro confined and unconfined compression experiments and indentation tests, in-situ measurements of intact cadaveric knee joint specimens under loading using Magnetic Resonance Imaging (MRI), numerical modeling, or in-vivo techniques such as those applying arthroscopic indentation or loading with MR imaging.

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 score0.263
Threshold uncertainty score0.505

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 head0.039
GPT teacher head0.288
Teacher spread0.249 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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