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Record W2063127022 · doi:10.1115/sbc2008-191699

Experimental Modal Analysis of Intervertebral Disc Joint Dynamics

2008· article· en· W2063127022 on OpenAlexaff
M. Maleskian, S. S. Park, Christopher Hunter

Bibliographic record

VenueASME 2008 Summer Bioengineering Conference, Parts A and B · 2008
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsViscoelasticityIntervertebral discModalVibrationMaterials scienceStiffnessModal analysisStructural engineeringNatural frequencyCoupling (piping)Intervertebral diskModal testingAcousticsPhysicsComposite materialEngineeringAnatomy

Abstract

fetched live from OpenAlex

The intervertebral discs provide mobility and a degree of shock absorbance to the spinal column. It has been shown that the mechanical properties of the intervertebral discs play an important role in their functionality [1, 2]. While static models of the intervertebral disc have significance, dynamic models characterize more accurately the in situ nature of the tissues. Some researchers [3] have studied dynamic disc loading from the perspective of biomedical performance and fatigue failure. Other studies have reported on the viscoelastic properties of discs under high frequency vibration [4]. However, the authors did not find any study which used experimental modal analysis (EMA) and the receptance coupling (RC) method to extract the dynamic characteristics, i.e. stiffness, damping, and natural frequencies, of the intervertebral discs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0080.001

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 head0.030
GPT teacher head0.269
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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
Published2008
Admission routes1
Has abstractyes

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Same venueASME 2008 Summer Bioengineering Conference, Parts A and BSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207