The Future of Nanotechnology: Cross-disciplined Progress to Improve Health and Medicine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEEditorialNEXTThe Future of Nanotechnology: Cross-disciplined Progress to Improve Health and MedicineJinwoo Cheon*Jinwoo CheonYonsei University*E-mail: [email protected]More by Jinwoo Cheonhttp://orcid.org/0000-0001-8948-5929, Warren Chan*Warren ChanUniversity of Toronto*E-mail: [email protected]More by Warren Chanhttp://orcid.org/0000-0001-5435-4785, and Inge Zuhorn*Inge ZuhornUniversity of Groningen*E-mail: [email protected]More by Inge Zuhornhttp://orcid.org/0000-0002-7695-915XCite this: Acc. Chem. Res. 2019, 52, 9, 2405Publication Date (Web):September 17, 2019Publication History Published online17 September 2019Published inissue 17 September 2019https://pubs.acs.org/doi/10.1021/acs.accounts.9b00423https://doi.org/10.1021/acs.accounts.9b00423editorialACS PublicationsCopyright © 2019 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 Views3922Altmetric-Citations20LEARN 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 (258 KB) Get e-AlertscloseSUBJECTS:Bioengineering and biotechnology,Fluids,Nanomedicine,Nanoparticles,Nanotechnology 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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.011 | 0.011 |
| 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 it