Pacifichem 2020 call for papers
Bibliographic record
Abstract
submissions are being accepted for the 2020 International Chemical Congress of Pacific Basin Societies (Pacifichem) at www.pacifichem.org. Pacifichem 2020 will take place Dec. 15–20, 2020, in Honolulu and is sponsored jointly 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. Pacifichem 2020 is the eighth in the series of successful scientific conferences held in Honolulu every 5 years with the goal of fostering collaborations among Pacific basin chemical scientists. The congress emphasizes the collaborative nature of chemistry as a multidisciplinary science and the opportunities to network with Pan-Pacific research groups. The Chemical Society of Japan (CSJ) is the host society for Pacifichem 2020, and the Congress Chair is Mitsuo Sawamoto, a professor at Chubu University and professor emeritus at Kyoto University. The theme
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.819 | 0.807 |
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".