Estimation of the Orthotropic Elastic Properties of the Rat Eardrum
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".