Report on the 2010 International Chemical Congress of Pacifichem Basin Societies (Pacifichem 2010), December 15-20, Honolulu, Hawaii : Symposium on Advances in Flow-based Analytical Techniques
Bibliographic record
Abstract
Pacifichem is held every five years, and is co-sponsored by the American Chemical Society, the Canadian Society for Chemistry, the Chemical Society of Japan, the Chinese Chemical Society, the Korean Chemical Society, the New Zealand Institute of Chemistry, and The Royal Australian Chemical Institute. Participating organizations include the Chemical Society of Thailand and the Japan Society for Analytical Chemistry. The Division of Analytical Chemistry of the American Chemical Society provided support for analytical symposia. The Symposium on Advances in Flow-based Analytical Techniques was organized by Ian McKelvie (Monash University, Australia), Gary Christian (University of Washington, USA), and Toshihiko Imato (Kyushu University, Japan). Ian McKelvie arranged the program and other details. There were twenty-four oral presentations and 17 poster presentations. The Pacifichem opening ceremony and reception were held Wednesday evening, December 15th, with fine weather, which remained until Sunday when record rainfall came, just in time for the beginning of the symposium when we had to be inside anyway! On the Saturday evening before the symposium, Jarda Ruzicka invited a number of participants and friends to his home at Hawaii Kai for a relaxing party and viewing of the Christmas boats, which went by his house. The symposium was held the last two days of the Congress, Sunday morning and afternoon, and Monday morning, with the poster session Sunday evening. Presiders were Ian McKelvie for the Sunday morning session, Toshihiko Imato and Gary Christian for the Sunday afternoon session, and Duangjai Nacapricha and Tadao Sakai for the Monday morning session.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.181 | 0.065 |
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".