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A Comparison of the Audiometric Performance of Bone Anchored Hearing Aids and Air Conduction Hearing Aids

2002· article· en· W2006039594 on OpenAlexaff
Manohar Bance, Sharon M. Abel, Blake C. Papsin, Philip M. Wade, Judy Vendramini

Bibliographic record

VenueOtology & Neurotology · 2002
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineAudiologyBone conductionHearing lossAudiometry

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the function of bone anchored hearing aids (BAHA) with conventional air conduction hearing aids (ACHA) by means of objective audiometric tests focusing on temporal acuity and consonant discrimination in quiet and noise, as well as subjective quality-of-life questionnaires. SETTING: Tertiary referral center. STUDY DESIGN: Prospective. SUBJECTS: Patients using BAHAs because of profuse drainage from chronic suppurative otitis media, and a comparison group of healthy volunteers. MAIN OUTCOME MEASURES: Objective measures: sound field audiograms, duration discrimination, gap discrimination, and final and initial consonant discrimination in quiet and in noise. Subjective measures: Sanders' Profiles, MOS SF-36 questionnaire. RESULTS: Normal-hearing subjects always performed better than hearing-impaired patients in all tests. When the BAHA was compared with the ACHA, there were no significant differences in any of the measures. CONCLUSIONS: The BAHA and the ACHA provided similar audiometric functioning in audiometric tests. The BAHA, although using a nonphysiologic sound conduction route, did not sacrifice temporal processing ability or speech perception in noise, and should be considered for patients with profuse ear drainage.

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 score0.012
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.066
GPT teacher head0.304
Teacher spread0.238 · 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

Citations44
Published2002
Admission routes1
Has abstractyes

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