Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
Bibliographic record
Abstract
On behalf of the Organizing Committee, we are delighted to welcome you to the 2011 Symposium on Theory of Modeling and Simulation (formerly known as the DEVS Symposium). The purpose of TMS (DEVS)'11 is to provide a forum to discuss most recent advancements in Theory of Modeling and Simulation. The main focus is on theory of modeling, methodology, practice and M&S software, as well as lessons learned and challenges. The Symposium focuses also on bridging different areas in the field of Theory of Modeling and Simulation, including formal modeling, graph transformation, model-checking, modeling methodologies and M&S software. The program includes a wide selection of technical presentations and distinguished speakers, and a collection of state-of-the-art presentations and articles related to research, development, and applications of Theory of Modeling and Simulation. This year two workshops are hosted by the conference: Mod4Sim focuses on model-driven approaches for simulation engineering, and the DEVS Standardization workshop focuses on standards for DEVS.
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.048 | 0.015 |
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".