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Record W2071952615 · doi:10.1002/cjce.20379

Special series of articles on process control

2010· article· en· W2071952615 on OpenAlexaffvenueabout
R. Bhushan Gopaluni, Carl Duchesne

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsUniversité LavalUniversity of British Columbia
Fundersnot available
KeywordsSeries (stratigraphy)Computer scienceProcess (computing)Programming languageBiology

Abstract

fetched live from OpenAlex

We are honoured to guest-edit a special series of featured and review articles on process control. This series is part of an effort by the editor-in-chief, Prof. Joao B.P. Soares, to publish articles by well known process control researchers in the premier Canadian Journal of Chemical Engineering. Over the next 1 year, a number of these articles will be published as part of this series. Process control is one of the many chemical engineering areas where Canada has built world class research groups over a period of many decades. Canadian groups have made significant contributions to process control theory and applications. These groups continue to help many Canadian industries stay competitive in the global market through research and technology development. This series is partly an attempt to highlight these contributions of Canadian researchers. Process control, as it is known traditionally, has expanded quite dramatically in the last decade to include a wide range of developments in theory and applications. We hope to publish articles by well known Canadian and international researchers to reflect some of these developments. We have invited a number of Canadian and international researchers to write review and featured articles on process control. Featured articles will focus on novel developments in theory or applications. Review articles, on the other hand, will be more exhaustive and thoroughly describe historical and recent developments in a specific area of process control. We are expecting to publish articles in a wide range of areas including, but not limited to, system identification, linear and nonlinear control, fault detection and diagnosis, controller performance assessment, real time optimization, and multivariate statistics. All invited articles will go through a rigorous review process before publication. Prof. Michel Perrier (Ecole Polytechnique) is editing a parallel series on biological applications of process control. We would like to thank Profs. Biao Huang and Joao. B.P. Soares for their encouragement, patience and support in putting together this series. We understand that writing featured or review articles involves a lot of hard work. We would like to thank all the authors who have graciously accepted our invitation and shown a willingness to put in the required effort. We would also like to thank Kyra Van Den Bos, the Editorial Assistant, for her help. Sincerely, Bhushan Gopaluni (University of British Columbia) Carl Duchesne (Laval University)

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.164
Teacher spread0.161 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations1
Published2010
Admission routes3
Has abstractyes

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