CyberEye: An Internet-Enabled Environment to Support Collaborative Design
Bibliographic record
Abstract
The focus of this paper is to address two key issues in the development of an Internet-enabled collaborative design environ ment. The first is concerned with 3D-models display and manipulation on the Internet; the second with collaboration and coordination in communications across a team(s) through the Internet. A novel approach is studied in which Java3D technology is explored in achieving 3D-models display and manipulation on the Internet; meanwhile, state-of-the-art IT technologies (e.g., ASP, Java Servlet and Windows Socket) are applied to support both asynchronous and synchronous distributed interactions. As a result, the core of an Internet-enabled, platform-independent environment, referred to as CyberEye, is further constructed to support distributed collaborative design, which consists of three function suites, namely, Product Visualization Module (PVM), Product Information Management Module (PIMM), and Team Management Module (TMM). As such, the implementation of multidisciplinary team engineering over the Internet can be facilitated and supported.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".