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[CCTA 2021 Front matter]

2021· article· en· W4205659112 on OpenAlexfundno aff

Bibliographic record

Venue2021 IEEE Conference on Control Technology and Applications (CCTA) · 2021
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsnot available
FundersJapan Aerospace Exploration AgencyIndian Institute of Technology KharagpurNational Institute of Technology RourkelaOffice of Naval ResearchUniversità degli Studi di ParmaKorea Advanced Institute of Science and TechnologyCoventry UniversityCranfield UniversityIstanbul Teknik ÜniversitesiNational Science FoundationOklahoma State UniversityPolitecnico di TorinoKeio UniversityMcGill UniversityInstitut national de recherche en informatique et en automatique (INRIA)Jilin UniversityClemson UniversityCummins IncorporatedDrexel UniversityUniversità di BolognaNanyang Technological UniversityUniversité de LilleGeorgia Institute of TechnologyUniversiteit GentU.S. Naval AcademyPurdue UniversityNational Taiwan UniversityShandong UniversityTulane UniversityFord Motor CompanyZhejiang University
KeywordsMechatronicsFeed forwardFocus (optics)Control (management)Computer scienceFront (military)Control systemVariable (mathematics)Control engineeringEngineeringElectrical engineeringArtificial intelligenceMechanical engineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.

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 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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.199
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0070.002
Open science0.0020.001
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.8010.750

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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