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Record W1968130609 · doi:10.1097/wnr.0b013e3280b10c15

Binaural processing in children using bilateral cochlear implants

2007· article· en· W1968130609 on OpenAlexafffund
Karen A. Gordon, Jerome Valero, Blake C. Papsin

Bibliographic record

VenueNeuroreport · 2007
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsBinaural recordingAudiologyCochlear implantImplantMedicineBrainstemLatency (audio)Cochlear implantationBasal (medicine)Sound localizationStimulationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Binaural auditory brainstem processing was examined using evoked potential measures in 40 children who were implanted early and received a second implant simultaneously or after long or short periods of unilateral implant use. Wave latencies were shorter when evoked by the experienced versus naïve implanted ear at initial bilateral activation. Binaural difference waves were detected in most children in response to apical but not basal electrode stimulation and were prolonged in latency in children implanted after long or short delays between implants. Timing differences between the implanted ears in children receiving sequential but not simultaneous bilateral implants reflect a relative immaturity of pathways innervating the second ear and results in abnormal timing of binaural processing at this initial implant stage.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.041
GPT teacher head0.326
Teacher spread0.285 · 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

Citations53
Published2007
Admission routes2
Has abstractyes

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