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Record W2953943269

Auditory Functions of the Peripheral Hearing System and the Common Conditions Affecting Sound Conduction

2019· article· en· W2953943269 on OpenAlexaffvenueabout
Laurence Martin, Olivier Valentin

Bibliographic record

VenueCanadian acoustics · 2019
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsUniversité de SherbrookeInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsAudiologyHearing lossOtosclerosisMedicineEustachian tubeMiddle earConductive hearing lossPresbycusisEar canalOuter earSensorineural hearing lossPerforationOtitisSurgeryEngineeringRadiology
DOInot available

Abstract

fetched live from OpenAlex

The peripheral hearing system combines mechanical and electrical transmission through the different structures of the outer, middle and inner ear. The World Health Organization estimates a prevalence of 6.1% of the world population living with a bilateral disabling hearing loss. Here, the roles of the different peripheral hearing system structures are reviewed and the most common causes of hearing loss related to mechanical transmission in the human ear are presented. Some common causes of sensorineural hearing loss are also discussed. More precisely, ear canal blockage, external ear infection (when the ear canal is blocked due to severe swelling), Eustachian tube dysfunction, serous and acute otitis, tympanic membrane perforation, cholesteatoma, ossicular chain discontinuity, otosclerosis, Meniere’s disease, presbycusis and noise-induced hearing loss are briefly presented in this paper in an attempt to highlight these problems and pathologies to the Canadian acoustical community.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.225
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2019
Admission routes3
Has abstractyes

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Same venueCanadian acousticsSame topicEar Surgery and Otitis MediaFrench-language works237,207