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Record W4212810796 · doi:10.5772/intechopen.101883

Issues in Creation of Bio-Compatible Cochlear Signal: Towards a New Generation of Cochlear Prosthetic Devices

2022· book-chapter· en· W4212810796 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIntechOpen eBooks · 2022
Typebook-chapter
Languageen
FieldEngineering
TopicAdvanced Measurement and Detection Methods
Canadian institutionsBrock University
Fundersnot available
KeywordsCochlear nerveComputer scienceSIGNAL (programming language)Cochlear implantSpeech recognitionCochleaNeuroscienceBiology

Abstract

fetched live from OpenAlex

A model of a fully functional cochlear prosthesis is presented here, simplified by taking into account only those evolutionary features of natural cochleae that contribute to their functionality. The proposed prosthetic device generates a bio-compatible digital signal which can be fed to the cochlear nerve. Subsequently, analysis of cochlear nerve signals is offered, both natural and artificial. To that end a number of mathematical theorems are formulated, proven, and then used to demonstrate that signals obtained from our prosthetic device are useful towards auditory pattern recognition, audio location, and even speech comprehension, as well as understanding and enjoyment of music.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.562
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.305
Teacher spread0.241 · 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