MétaCan
Menu
Back to cohort
Record W1561086012

The effect of aging on cochlear amplifier: A simulation approach using a physiologically-based electro-mechanical model of the cochlea

2012· article· en· W1561086012 on OpenAlexvenueno aff
Amin Saremi, Stefan Stenfelt

Bibliographic record

VenueCanadian acoustics · 2012
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsCochleaAmplifierAcousticsComputer scienceMaterials scienceEngineeringPhysicsElectronic engineeringNeuroscienceBiology
DOInot available

Abstract

fetched live from OpenAlex

The electrical, acoustical, and mechanical elements of the cochlea are explicitly integrated into a transmission-line model to develop a physiological interpretation of the human cochlea insofar. The model enables fundamental simulation of specific cochlear lesions such as metabolic presbyacusis. A sound pressure field in the air is transmitted via the outer and middle ear to the inner ear. It causes the stapes to vibrate resulting in a traveling wave along the organ of Corti propagating from base towards apex. As the endocochlear potential (EP) decreases, the MET produces less receptor current which, eventually leading to a decline in the force/displacement generated by the somatic motor. The CFs of the curves tend to move backwards in a presbyacusis cochlea, this result is consistent with Robles and Ruggem where in a passive cochlea, the CFs are shifted backwards.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.290
Teacher spread0.242 · 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 designSimulation or modeling
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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCanadian acousticsSame topicHearing Loss and RehabilitationFrench-language works237,207