Bibliographic record
Abstract
In this paper, a novel boundary condition for the classical cochlear model will be outlined that allows the realistic simulation of tone-burst transiently evoked otoacoustic emissions (TEOAEs). OAEs are sounds that are emitted from the inner ear and have been related to hearing function. Classical cochlear models suffer from an inability to realistically simulate OAEs because of the simplistic treatment of the hydrodynamics at the interface between the oval window, stapes, and cochlear fluid. In the classical cochlear model, there are two boundary conditions; the first describes the helicotrema, and the second details how fluid is displaced by the oval window in response to sound entering the ear. In this model, OAE production cannot be simulated because once the stimulating sound is stopped, the oval window is immobile and incapable of transmitting acoustical energy back out of the inner ear. In this paper, this boundary condition will be reconsidered in light of the additional fluid displacement caused by the movement of the cochlear partition. The addition of this boundary condition yields realistic simulations of tone-burst OAEs, both in time evolution and frequency content.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".