Defining and Advancing Sustainable Chemistry: A Discussion around the Recent National Science and Technology Council Report
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEEditorialNEXTDefining and Advancing Sustainable Chemistry: A Discussion around the Recent National Science and Technology Council ReportEdmond LamEdmond LamGreen Chemistry Institute, American Chemical Society, Washington, DC 20036, United StatesMore by Edmond Lamhttps://orcid.org/0000-0003-4343-4469, Audrey MooresAudrey MooresCentre in Green Chemistry and Catalysis, Department of Chemistry, McGill University, Montreal, QC H3A 0B8, CanadaMore by Audrey Mooreshttps://orcid.org/0000-0003-1259-913X, Bala SubramaniamBala SubramaniamDepartment of Chemical and Petroleum Engineering, The University of Kansas, Lawrence, Kansas 66045, United StatesCenter for Environmentally Beneficial Catalysis, The University of Kansas, Lawrence, Kansas 66047, United StatesMore by Bala Subramaniamhttps://orcid.org/0000-0001-5361-1954, and Adelina Voutchkova-KostalAdelina Voutchkova-KostalGreen Chemistry Institute, American Chemical Society, Washington, DC 20036, United StatesMore by Adelina Voutchkova-Kostalhttps://orcid.org/0000-0002-7016-5244Cite this: ACS Sustainable Chem. Eng. 2023, 11, 51, 17881–17884Publication Date (Web):December 12, 2023Publication History Received30 November 2023Published online12 December 2023Published inissue 25 December 2023https://pubs.acs.org/doi/10.1021/acssuschemeng.3c07860https://doi.org/10.1021/acssuschemeng.3c07860editorialACS PublicationsCopyright © Published 2023 by American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views1048Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (1 MB) Get e-AlertscloseSUBJECTS:Chemical engineering and industrial chemistry,Green chemistry,Materials,Physical and chemical processes,Sustainability Get e-Alerts
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".