From surface science research to high‐impact knowhows—Exemplars of Surface Science Western
Bibliographic record
Abstract
Surface Science Western (SSW) is a Canadian center of excellence bearing a mandate to facilitate both interdisciplinary research in surface science and subsequent knowledge/technology transfer. Three exemplars of SSW's accomplishments in this context are here highlighted. The first exemplar began with fundamental studies of nucleation and growth of diamond via chemical vapor deposition. This yielded 2 US patents and the startup of CVD Diamond Corporation which supplies the best diamond‐coated cutting tools in the market. The second exemplar started with basic research on colliding weakly adsorbed organic molecules with seemingly unreactive H 2 having controllable kinetic energy. While collision‐induced dissociation is well known, the outcome from this method in breaking C―H bonds but not other bonds is innovative. With such innovation, weakly adsorbed organic molecules are cross‐linked to a well‐anchored molecular ultrathin layer with absolute control of chemical functionality. The technology was recently licensed to a jewelry manufacturer for anchoring antimicrobial molecules covalently to the surface of jewelry. The license promises 2 breakthroughs: product safety to human is assured with no unknown chemical functional groups unintentionally formed in the cross‐linking process; and the antimicrobial overlayer is thin enough not to compromise the visual appearance of the jewelry. In the third exemplar, results from surface analysis with X‐ray photoelectron spectroscopy were translated to protocols for peak‐fitting/assignment of important transition‐metal compounds. Such published protocols have been widely cited and now become practical standards in the field. This exemplar best showcases SSW's mission of translating research to high‐value‐added knowhows. Copyright © 2017 John Wiley & Sons, Ltd.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".