Bibliographic record
Abstract
Members of the ACS Board of Directors and international guests (above photo) gather for the signing of the C6 agreement on sustainability (C& EN, Aug. 13, page 54). From left to right are Giovanni Natile of EuCheMS; Henning Hopf of the German Chemical Society; Executive Director and CEO Madeleine Jacobs; Richard Porte of the Royal Society of Chemistry; Russell J. Boyd of the Canadian Society for Chemistry; Eusebio Juaristi of the Mexican Chemical Society; President-Elect Bruce E. Bursten; President Catherine T. (Katie) Hunt; Board Chair Judith L. Benham; and Immediate Past-President E.Ann Nalley. Chemistry postdoc Albert K. Korir (photo at right), of the University of California, Riverside, explains his research during the Academic Employment Initiative at Sci-Mix. At the Women Chemists Committee luncheon (above photo), Hunt (far right) is joined by WCC Chair Amber S. Hinkle (from left), Zafra M. Lerman, keynote speaker Ada E. Yonath, and Hessy Taft. Candidates ...
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.334 | 0.214 |
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".