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Record W2520976190 · doi:10.1080/14670100.2016.1225348

Proceedings of the Annual Symposium of the American Cochlear Implant Alliance<sup>†</sup>

2016· article· en· W2520976190 on OpenAlexaff
J. Thomas Roland, Craig A. Buchman, Laurie S. Eisenberg, Lillian Henderson, Shuman He, Jill B. Firszt, Howard W. Francis, Camille C. Dunn, Douglas P. Sladen, Susan Arndt, Bradford J. May, Daniel M. Zeitler, John K. Niparko, Susan D. Emmett, Debara L. Tucci, Joseph Chen, Amy McConkey Robbins, Ernest Schwefler, Ann E. Geers, Amy R. Lederberg, Heather Hayes, Michelle L. Hughes, Julie Arenberg Bierer, Erin C. Schafer, Donna L. Sorkin, Linda Kozma-Spytek, Tina Childress

Bibliographic record

VenueCochlear Implants International · 2016
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsUniversity of Toronto
FundersNational Institute on Deafness and Other Communication DisordersU.S. Department of Health and Human Services
KeywordsCochlear implantAllianceAudiologyCochlear implantationImplantMedicinePolitical scienceSurgery

Abstract

fetched live from OpenAlex

Emerging Issues in Cochlear ImplantationThe American Cochlear Implant Alliance (ACI Alliance) was incorporated in the late 2011 as a non-profit organization of cochlear implant clinicians from acro...

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.275
Teacher spread0.258 · 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 designBench or experimental
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

Citations1
Published2016
Admission routes1
Has abstractyes

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