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Record W2895753055 · doi:10.1145/3270112.3270135

Simgen

2018· article· en· W2895753055 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsScripting languageComputer scienceDigital subscriber lineProtocol (science)Domain (mathematical analysis)Domain-specific languageCommunications protocolInterface (matter)Embedded systemSoftware engineeringHuman–computer interactionProgramming languageOperating systemComputer network

Abstract

fetched live from OpenAlex

This paper provides an overview of SimGen, a prototyping tool which aids in the creation of 3D simulations for embedded systems testing. SimGen relies on a domain specific language to describe the components of the simulation and the communication protocol used to interface with them. A game engine called Unity is used to power the 3D environment in which the simulation takes place. The prototyping tool generates the necessary scripts to fully build the simulation within the Unity environment. By using the power of the Unity environment with the simplicity of the domain specific language, users are able to create simulations customized to their testing needs. The communication protocol between individual objects and the users application is defined by the user in the DSL and runs on TCP sockets for a general and easy to implement connection.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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

Quick stats

Citations7
Published2018
Admission routes1
Has abstractyes

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