Proceedings of the eighth ACM symposium on Solid modeling and applications
Bibliographic record
Abstract
The ACM Symposium on Solid Modeling and Applications is an annual international forum for the exchange of recent research and applications of spatial modeling and computations in design, analysis and manufacturing, as well as in emerging biomedical, geophysical and other areas. Previous symposia in this series were held in Austin, Texas, 1991; Montreal, Canada, 1993; Salt Lake City, Utah, 1995; Atlanta, Georgia, 1997; Ann Arbor, Michigan in 1999 and 2001; and in Saarbrucken, Germany, 2002. For additional information, visit www.solidmodeling.org, the home page of the Solid Modeling Association that oversees the symposia series.The eighth ACM Symposium on Solid Modeling and Applications was held on the campus of the University of Washington, Seattle, on June 16--20, 2003. Supplementary symposium activities included courses and tutorials held on the two days preceding the plenary sessions and a tour of the Boeing 777 final assembly plant. Close to eighty papers have been reviewed by an international program committee and reviewers from around the world. At least three external reviewers and members of the program committee reviewed each paper. A total of 25 refereed papers have been selected for plenary presentation and full paper publication in the proceedings. In addition, 13 papers have been selected for poster presentation and six-page paper publication in the proceedings and, for the first time, five papers have been selected for shorter presentations in the new Emerging Concepts session.The symposium program also includes three keynote presentations invited from leading authorities in industry and academe.
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.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.180 | 0.096 |
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".