Correction to “Assessing Individual Material Degradation toward Organic Solar Cells Using Accelerated Nanolayer Lifetime Protocols: Implications for Solar Cell Longevity”
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to "Assessing Individual Material Degradation toward Organic Solar Cells Using Accelerated Nanolayer Lifetime Protocols: Implications for Solar Cell Longevity"Adam R. TetreaultAdam R. TetreaultDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto M5S 3E5, Ontario, CanadaMore by Adam R. Tetreaulthttps://orcid.org/0000-0002-0870-5772, Itzel Lopez-CarreonItzel Lopez-CarreonConstruction Research Center, National Research Council Canada, 1200 Montreal Rd., Ottawa K1A 0R6, Ontario, CanadaMore by Itzel Lopez-Carreon, Marzieh RiahinezhadMarzieh RiahinezhadConstruction Research Center, National Research Council Canada, 1200 Montreal Rd., Ottawa K1A 0R6, Ontario, CanadaMore by Marzieh Riahinezhad, Elnaz EsmizadehElnaz EsmizadehConstruction Research Center, National Research Council Canada, 1200 Montreal Rd., Ottawa K1A 0R6, Ontario, CanadaMore by Elnaz Esmizadeh, Peter CollinsPeter CollinsConstruction Research Center, National Research Council Canada, 1200 Montreal Rd., Ottawa K1A 0R6, Ontario, CanadaMore by Peter Collins, Kamran Alasvand ZarasvandKamran Alasvand ZarasvandDepartment of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Road, Toronto M5S 3G8, Ontario, CanadaMore by Kamran Alasvand Zarasvand, Naren VivekanandanNaren VivekanandanDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto M5S 3E5, Ontario, CanadaMore by Naren Vivekanandan, Ajinkya MandlikAjinkya MandlikDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto M5S 3E5, Ontario, CanadaMore by Ajinkya Mandlik, Michelle FernandesMichelle FernandesDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto M5S 3E5, Ontario, CanadaMore by Michelle Fernandes, Kevin GolovinKevin GolovinDepartment of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Road, Toronto M5S 3G8, Ontario, CanadaDepartment of Materials Science and Engineering, University of Toronto, 184 College Street, Toronto M5S 3E4, Ontario, CanadaMore by Kevin Golovinhttps://orcid.org/0000-0001-8309-7458, and Timothy P. Bender*Timothy P. BenderDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto M5S 3E5, Ontario, CanadaDepartment of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Road, Toronto M5S 3G8, Ontario, CanadaDepartment of Materials Science and Engineering, University of Toronto, 184 College Street, Toronto M5S 3E4, Ontario, CanadaDepartment of Chemistry, University of Toronto, 80 St. George Street, Toronto M5S 3H6, Ontario, Canada*Email: [email protected]More by Timothy P. Benderhttps://orcid.org/0000-0002-6086-7445Cite this: ACS Appl. Nano Mater. 2024, 7, 9, 11021Publication Date (Web):May 2, 2024Publication History Received17 April 2024Published online2 May 2024Published inissue 10 May 2024https://pubs.acs.org/doi/10.1021/acsanm.4c01679https://doi.org/10.1021/acsanm.4c01679correctionACS PublicationsCopyright © 2024 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 Views73Altmetric-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 (1008 KB) Get e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information 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 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 | 0.004 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.120 | 0.082 |
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".