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Record W4306316895 · doi:10.2514/6.2022-4386

Migrating MBSE to the Metaverse

2022· article· en· W4306316895 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

VenueASCEND 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicSystems Engineering Methodologies and Applications
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsComputer scienceSoftware deploymentPipeline (software)The InternetWorld Wide WebWeb engineeringProcess (computing)Software engineeringWeb applicationArchitectureSystems engineeringWeb developmentWeb application securityEngineeringOperating system

Abstract

fetched live from OpenAlex

View Video Presentation: https://doi.org/10.2514/6.2022-4386.vid This paper describes a Model Based Systems Engineering (MBSE) architecture using the power of a web-based platform to enhance communication and extend the exchange of data generated from desktop applications to effectively create an Integrated Digital Environment. A web enabled platform brings the power of the Internet to the system engineering realm. Using primary COTS software already available for development and the management of web content, a Continuous Integration/Continuous Deployment (CI/CD) pipeline pushes content out to stakeholders in real-time. The pipeline’s products are the engineering efforts done on a day-in, day-out basis, in a web format that makes it easily accessible and discoverable by everyone, from managers to customers to suppliers to primes. This paper examines the benefits of the web-based Integrated Digital Environment as well as review an example of a web-based Integrated Digital Environment (IDE) and the subsequent Systems Engineering Digital Process implemented by Lockheed Martin.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.361

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 head0.023
GPT teacher head0.233
Teacher spread0.210 · 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