Record W4390738655 · doi:10.1109/tnsre.2023.3345048

IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information

2023· article· en· W4390738655 on OpenAlexfundno aff

Bibliographic record

VenueIEEE Transactions on Neural Systems and Rehabilitation Engineering · 2023

Typearticle

Languageen

FieldEngineering

TopicMuscle activation and electromyography studies

Canadian institutionsnot available

FundersNIH Clinical CenterUniversity of Massachusetts AmherstUniversity of Illinois at Urbana-ChampaignNational Institutes of HealthPeking Union Medical CollegeNational Chiao Tung UniversityShanghai Jiao Tong UniversityZhejiang UniversityUniversity of CincinnatiNational Rehabilitation CenterNational Institute of Technology, RaipurAlbert-Ludwigs-Universität FreiburgAalborg UniversitetUlsan National Institute of Science and TechnologySan Diego State UniversityChinese Academy of Medical SciencesUniversity of SheffieldUniversity of TwenteIndian Institute of Technology IndoreKungliga Tekniska HögskolanUniversity of MelbourneTechnion-Israel Institute of TechnologyFudan UniversitySwinburne University of TechnologyMonash UniversityUniversity of CanberraNanyang Technological UniversityUniversidad Pública de NavarraUniversity of BathBeihang UniversityNorthwestern UniversityUniversity of GlasgowYork UniversityShanghai Educational Development FoundationWorcester Polytechnic InstituteTianjin University of TechnologyMeiji UniversityFlorida Institute of TechnologyUniversité de LorraineIndian Institute of Technology GandhinagarUniversità degli Studi di CagliariUniversity of South CarolinaSouthern University of Science and TechnologyUniversity of California, San DiegoTianjin UniversityBradley UniversityKorea Institute of Science and TechnologyHuazhong University of Science and TechnologyUniversity of WashingtonNorth Carolina State UniversityUniversity of PittsburghUniversity of Essex

KeywordsComputer scienceRehabilitationRehabilitation engineeringInformation retrievalHuman–computer interactionPsychologyNeuroscience

DOI10.1109/tnsre.2023.3345048

Abstract

fetched live from OpenAlex

No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001

metaresearch head score (Gemma)0.002

Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated

Candidate categoriesInsufficient payload (model declined to judge)

Consensus categoriesnone

DomainCandidate signal: none · Consensus signal: none

Study designCandidate signal: Not applicable · Consensus signal: Not applicable

GenreCandidate signal: Other · Consensus signal: Other

Teacher disagreement score0.730

Threshold uncertainty score0.903

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.001	0.002
Meta-epidemiology (narrow)	0.001	0.000
Meta-epidemiology (broad)	0.001	0.000
Bibliometrics	0.002	0.001
Science and technology studies	0.000	0.000
Scholarly communication	0.002	0.002
Open science	0.001	0.001
Research integrity	0.001	0.001
Insufficient payload (model declined to judge)	0.270	0.136

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 head0.008

GPT teacher head0.200

Teacher spread0.192 · 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