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Record W2065990337 · doi:10.1109/jetcas.2012.2183471

Guest Editorial Special Issue on Brain–Machine Interface

2011· editorial· en· W2065990337 on OpenAlex
Mohamad Sawan, Pedram Mohseni, Paul Sajda, Justin C. Sanchez

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

VenueIEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2011
Typeeditorial
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsBiosignalBrain–computer interfaceInterface (matter)Computer scienceSpike (software development)ElectronicsBrain stimulationVariety (cybernetics)Cover (algebra)Human–computer interactionElectrical engineeringArtificial intelligenceEngineeringTelecommunicationsNeuroscienceStimulationSoftware engineeringElectroencephalographyWirelessOperating systemMechanical engineering

Abstract

fetched live from OpenAlex

The 19 papers in this special issue cover a variety of brain-machine/computer interfaces and include: 1) monitoring and data recording methods, 2) spike-based detection techniques, 3) adaptive/automatic biosignal processing approaches, 4) bioamplifiers implementation and validation, 5) ambulatory/implantable electronics, 6) electronics for brain science, and vision-based interfaces, 7) electrical stimulation, and 8) experimental and clinical case studies.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.025
GPT teacher head0.289
Teacher spread0.264 · 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