Proceedings of the 19<sup>th</sup> International Conference on Ion Sources, Vancouver, BC, Canada, 2021
Bibliographic record
Abstract
The 19th International Conference on Ion Sources was hosted by TRIUMF in Vancouver, BC, Canada, September 20 to September 24, 2021. The biennial conference series covers the physics and technology of ion sources for scientific research and applications. With the conference being the main event within the ion sources community, it offers a forum for the exchange of ideas and the establishing of collaborations. New developments and advancements have been presented and discussed. As in previous conferences of this series, all aspects of ion sources have been covered in the categories • Fundamental processes in ion sources and plasmas • Production of high intensity ion beams • Production of highly charged ion beams • Negative ion sources • Ion sources for fusion • Radioactive ion sources, charge breeders and polarized beams • Beam formation, extraction, transport, and diagnostics • Applications of ion sources • Key technologies for ion sources Due to restrictions on traveling and meeting sizes caused by health regulations during the COVID-19 pandemic, the conference was held as a virtual conference. Talks have been presented via ZOOM and two poster sessions were held within the remote meeting platform “Gather town”, which was also open for discussions among participants outside the plenary sessions. The main session on electron beam ion sources was dedicated to the memory of Professor Dr. Evgeny Denisovich Donets who, to our great regret, passed away in June 2021. Professor Donets was the inventor of the electron beam ion source and one of the initiators of this conference series. He was a longtime member of the international advisory committee. His memory will be highly regarded within the ion source community. List of International advisory committee, Scientific program committee, Local organizing committee are available in this pdf.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.160 | 0.098 |
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".