Photocatalytic Hydrogen Generation Using Metal-Decorated TiO<sub>2</sub>: Sacrificial Donors vs True Water Splitting
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 ISSUEPREVViewpointNEXTPhotocatalytic Hydrogen Generation Using Metal-Decorated TiO2: Sacrificial Donors vs True Water SplittingAndrew S. HainerAndrew S. HainerDepartment of Chemistry and Biomolecular Sciences and Centre for Advanced Materials Research (CAMaR), University of Ottawa, Ottawa, Ontario K1N 6N5, CanadaMore by Andrew S. Hainer, Justin S. HodginsJustin S. HodginsDepartment of Chemistry and Biomolecular Sciences and Centre for Advanced Materials Research (CAMaR), University of Ottawa, Ottawa, Ontario K1N 6N5, CanadaMore by Justin S. Hodgins, Victoria SandreVictoria SandreDepartment of Chemistry and Biomolecular Sciences and Centre for Advanced Materials Research (CAMaR), University of Ottawa, Ottawa, Ontario K1N 6N5, CanadaMore by Victoria Sandre, Morgan VallieresMorgan VallieresDepartment of Chemistry and Biomolecular Sciences and Centre for Advanced Materials Research (CAMaR), University of Ottawa, Ottawa, Ontario K1N 6N5, CanadaMore by Morgan Vallieres, Anabel E. Lanterna*Anabel E. LanternaDepartment of Chemistry and Biomolecular Sciences and Centre for Advanced Materials Research (CAMaR), University of Ottawa, Ottawa, Ontario K1N 6N5, Canada*E-mail: [email protected] (A.E.L.).More by Anabel E. Lanternahttp://orcid.org/0000-0002-6743-0940, and Juan C. Scaiano*Juan C. ScaianoDepartment of Chemistry and Biomolecular Sciences and Centre for Advanced Materials Research (CAMaR), University of Ottawa, Ottawa, Ontario K1N 6N5, Canada*E-mail: [email protected] (J.C.S.).More by Juan C. Scaianohttp://orcid.org/0000-0002-4838-7123Cite this: ACS Energy Lett. 2018, 3, 3, 542–545Publication Date (Web):February 8, 2018Publication History Received29 January 2018Accepted2 February 2018Published online8 February 2018Published inissue 9 March 2018https://pubs.acs.org/doi/10.1021/acsenergylett.8b00152https://doi.org/10.1021/acsenergylett.8b00152article-commentaryACS PublicationsCopyright © 2018 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 Views6415Altmetric-Citations117LEARN 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 (695 KB) Get e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Alcohols,Catalysts,Hydrogen,Organic acids,Water splitting 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it