Bibliographic record
Abstract
The American Chemical Society Division of Analytical Chemistry has announced the 2019 recipients of its awards, which recognize important contributions to the major scientific aspects of the discipline. The awards will be presented during a symposium at the fall ACS national meeting in San Diego. Patrick Unwin, a professor of chemistry at the University of Warwick, is the winner of the ACS Division of Analytical Chemistry Award in Electrochemistry. His research group has pioneered techniques for innovative nanoscale electrochemical imaging. Joel Harris, a professor of chemistry at the University of Utah, is the recipient of the ACS Division of Analytical Chemistry Award in Spectrochemical Analysis. His research focuses on analytical spectroscopy studies of low concentrations of molecules in liquids and at liquid-solid interfaces. Charles Lucy, a professor emeritus at the University of Alberta, is the winner of the ACS Division of Analytical Chemistry J. Calvin Giddings Award for Excellence in
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.445 | 0.445 |
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".