Bibliographic record
Abstract
Abstract The 17th International Symposium on Plasma Chemistry (ISPC 17) was held in Toronto, Ontario, Canada from 7-12 August 2005. ISPC 17 is sponsored by the International Union of Pure and Applied Chemistry (IUPAC) and the International Plasma Chemistry Society (IPCS). This is the second time that the ISPC was held in Canada (ISPC 6, Montreal, Quebec, 1983). Two short courses with 60 participants in low- and high-pressure plasma processing were offered prior to the start of the symposium (4-6 August 2005). A one-day industrial workshop with 63 participants was also held on 7 August 2005. ISPC is the main symposium on partially ionized gases and plasma processing science. During ISPC 17, 560 researchers, including 183 students, from 48 countries presented their latest discoveries in this field. 540 contributed papers, 5 plenary and 18 invited abstracts covering 15 topics in plasma processing science were presented during the symposium. All submitted abstracts were reviewed by the International Organizing Committee. The complete text of the papers was provided on a searchable CD. The high number of contributed papers and the high level of registration in both the industrial workshop as well as the short courses reflect the continued support and interest of researchers in plasma processing science community in this bi-annual event. The invited plenary and topical lectures, selected by the International Organizing Committee, are representative of the great progress in the different areas of plasma chemistry. This issue of Pure and Applied Chemistry offers an overview on the recent advances in high- and low-pressure plasmas as well as on more specific developments in plasma processing science. These topics were presented at the ISPC 17 by plenary and topical invited speakers. Javad Mostaghimi Conference Chair
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.597 | 0.422 |
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".