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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.091 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.000 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.035 |
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; both teacher heads agree on what is shown here.
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".