MétaCan
Menu
Back to cohort
Record W2072332348 · doi:10.1115/detc2002/cie-34456

Master Assembly Model for Real-Time Multi-User Collaborative Assembly Modeling on the Internet

2002· article· en· W2072332348 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
TopicManufacturing Process and Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceThe InternetUnified Modeling LanguageSession (web analytics)Key (lock)Representation (politics)Class diagramAssembly modellingCollaborative softwareHuman–computer interactionWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

In this paper, an information model, known as Master Assembly Model (MAM), is introduced to support real-time multi-user collaborative assembly modeling on the Internet. By using UML class diagrams, the MAM is described in detail according to four key aspects: (1) Collaborative Assembly Representation, (2) Multi-View, (3) Coordination Control and (4) Collaborative Session. Finally, a real-time multi-user collaborative assembly modeling system based on this model is suggested. This system makes it possible for different organizations at geographically different locations to work together concurrently and synchronously on the design and modeling of an assembly.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.500

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 head0.042
GPT teacher head0.236
Teacher spread0.194 · 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

Citations10
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicManufacturing Process and OptimizationFrench-language works237,207