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Record W4244010900 · doi:10.1002/oca.2517

Issue Information

2020· paratext· en· W4244010900 on OpenAlexaff
Mike J. Grimble, Richard D. Braatz, Bion L. Pierson, E.J. Davison, Hossein Javaherian, B. Kouvaritakis, Frank L. Lewis, Ping Lu, Kioumars Najmabadi, Mahmut Parlar, Masayoshi Tomizuka

Bibliographic record

VenueOptimal Control Applications and Methods · 2020
Typeparatext
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsCitationComputer scienceControl (management)World Wide WebInformation retrievalArtificial intelligence

Abstract

fetched live from OpenAlex

Aims and ScopePapers must include an element of optimization or optimal control and estimation theory to be considered by the journal, and all papers will be expected to include signifi cant novel material.The journal only considers papers that mainly use model based control design methods and hence papers featuring fuzzy control will not be included.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.151
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0090.004
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8490.819

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 head0.292
Teacher spread0.286 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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