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Record W2907412596

Estimation of the Orthotropic Elastic Properties of the Rat Eardrum

2011· article· en· W2907412596 on OpenAlexaff
Ehsan Salamati, Sumit Agrawal, Abbas Samani, Hanif M. Ladak

Bibliographic record

VenueScholarship@Western (Western University) · 2011
Typearticle
Languageen
FieldEngineering
TopicElasticity and Material Modeling
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsOrthotropic materialEardrumAcousticsMathematicsMathematical analysisStructural engineeringPhysicsEngineeringFinite element method
DOInot available

Abstract

fetched live from OpenAlex

Finite-element (FE) models of the eardrum have been developed to understand its impedance-matching function. Modeling accuracy depends on the assumed elastic properties. Although the eardrum is an orthotropic elastic structure, for simplicity, most investigators have measured the eardrum’s elastic properties while assuming it is isotropic. No data are available in the literature on the eardrum’s orthotropic elastic properties. In this work, existing indentation-based and pressurization-based methods were extended for estimating the orthotropic elastic properties of the eardrum in situ. For the pressurization-based method, an accuracy in excess of 90% is achieved when the signal-to-noise ratio (SNR) is 2 or greater, while an SNR of 200 or greater is required for the indentation-based method. The indentation-based method was applied to the rat eardrum for which measurements were available, yielding average values of Ex =23.39 ± 1.55 MPa, Ey = 58.67 ± 4.16 MPa, and Gxy = 35.56 ± 3.29 MPa.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.423

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 science0.0010.000
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 head0.088
GPT teacher head0.234
Teacher spread0.146 · 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 designObservational
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

Citations4
Published2011
Admission routes1
Has abstractyes

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