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Record W2027686447 · doi:10.1002/cae.1006

Real‐time computer simulation workshops for the process control education of undergraduate chemical engineers

2001· article· en· W2027686447 on OpenAlex

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

VenueComputer Applications in Engineering Education · 2001
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of Calgary
FundersUniversity of Canterbury
KeywordsProcess (computing)Process controlComputer scienceProcess dynamicsProcess simulationControl (management)MATLABSoftwareUnit operationChemical processSoftware engineeringControl engineeringEngineeringChemical engineeringArtificial intelligenceOperating system

Abstract

fetched live from OpenAlex

Abstract Realistic workshops involving real‐time simulation of chemical processes are introduced for an undergraduate process‐control course in chemical engineering. The workshops are based on fundamental‐process models of industrial unit operations and are designed for the “hands‐on” learning of process control. These workshops can be used in a computer laboratory under all readily available commercial process simulation software, namely, HYSYS, Aspen Dynamics, and MATLAB. This paper reviews these workshops and how they are used for effective process control education of chemical engineers. © 2001 John Wiley & Sons, Inc. Comput Appl Eng Educ 9: 57–62, 2001

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.254
Teacher spread0.249 · 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