Proceedings of the 2008 Spring simulation multiconference
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.
Bibliographic record
Abstract
On behalf of the Organizing Committee we welcome you to the 2008 Spring Simulation Multiconference (SpringSim'08), sponsored by The Society for Modeling and Simulation International (SCS) in collaboration with ACM/SIGSIM. SpringSim'08 brings together ten Symposia, providing a forum for academia, industry, business, military, and government. It covers a wide variety of disciplines and domains that exploit Modeling and Simulation (M&S) to present their work in a unique setting. SpringSim'08 has several new events. The conference is located for the first time in Canada, in the city of Ottawa. Canada's National Capital is a center of innovative high technology companies, Universities, research laboratories, and Government that recognize the importance of M&S in our society. The Canadian organizers have very active pursuing this occurrence and contributed significantly to the program. Second, a tutorial track is launched this year furnishing cutting edge and state-of-the-art technologies in M&S for the participants. A poster session for Ph.D. students is arranged for the Ph.D. candidates to share their latest findings with the conference audience. Modeling and Simulation in Education (MSE) is a new track devoted to current trends in training in the field. Last but not least, we are delighted to welcome for the first time in SpringSim the 17th Annual International Conference on Health Science Simulation (ICSHSS). The SpringSim'08 program includes a wide selection of technical presentations and distinguished speakers. Professionals, Engineers, and Scientists who are committed, involved, or interested in M&S will find in this year's conference a world-class collection of state-of-the-art presentations and articles related to research, development, and applications of M&S.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it