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Record W2084479812 · doi:10.1177/0037549703039949

A Framework for Remote Execution and Visualization of Cell-DEVS Models

2003· article· en· W2084479812 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

VenueSIMULATION · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceVRMLVisualizationMarkup languageDEVSInterface (matter)Event (particle physics)WorkstationDiscrete event simulationVariety (cybernetics)User interfaceVirtual realityHuman–computer interactionDistributed computingModeling and simulationXMLOperating systemSimulationData miningArtificial intelligence

Abstract

fetched live from OpenAlex

Simulation is becoming increasingly important in the analysis and design of complex systems with natural and artificial components. CD++ is a modeling and simulation tool that was created to study these kinds of systems by using a discrete event cell-based approach. It was successfully employed to define a variety of models for complex applications. Here, the authors present different extensions done to the tool using a client-server architecture. Users can create models in local workstations, execute them in a remote high-performance simulation engine, and then receive, visualize, and analyze the results locally with easy-to-use 2D and 3D interfaces. The 3D interface was built using the virtual reality markup language (VRML) to facilitate Web-based visualization. The tool now enables running several models simultaneously and supports multiview outputs.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.176
GPT teacher head0.469
Teacher spread0.294 · 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