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Record W6945935544 · doi:10.3205/24dga163

Entwicklung eines multisensorischen Kommunikationsimplantats basierend auf Künstlicher Intelligenz und EEG-Markern

2024· article· de· W6945935544 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

VenueGerman Medical Science (German Research Foundation) · 2024
Typearticle
Languagede
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsContext (archaeology)Set (abstract data type)Long-term prediction

Abstract

fetched live from OpenAlex

Fragestellung: Die Zahl von Hörsystemnutzer wächst stetig, jedoch ist die Qualität der Systeme in Störgeräuschsituationen bisher mit deutlichen Einschränkungen verbunden. In Sachsen beschäftigt sich der BMBF-geförderte Zukunftscluster „SEMECO“ mit [zum vollständigen Text gelangen Sie über die oben angegebene URL]

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)0.016
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.1180.142

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 head0.117
GPT teacher head0.484
Teacher spread0.367 · 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