Correction to “SARS-CoV-2 RNA in Wastewater Settled Solids Is Associated with COVID-19 Cases in a Large Urban Sewershed”
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to "SARS-CoV-2 RNA in Wastewater Settled Solids Is Associated with COVID-19 Cases in a Large Urban Sewershed"Katherine E. GrahamKatherine E. GrahamSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United StatesMore by Katherine E. Graham, Stephanie LoebStephanie LoebDepartment of Civil Engineering, McGill University, Montreal H3A 0C3, CanadaMore by Stephanie Loebhttps://orcid.org/0000-0002-8666-518X, Laura Roldan-HernandezLaura Roldan-HernandezDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United StatesMore by Laura Roldan-Hernandezhttps://orcid.org/0000-0002-7591-1496, Sooyeol KimSooyeol KimDepartment of Civil and Environmental Engineering, University of California, Berkeley, California 94720, United StatesMore by Sooyeol Kimhttps://orcid.org/0000-0003-3321-7241, Krista R. Wigginton*Krista R. WiggintonDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States*734-763-9661, [email protected]More by Krista R. Wiggintonhttps://orcid.org/0000-0001-6665-5112, and Alexandria Boehm*Alexandria BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United States*650-724-9128, [email protected]More by Alexandria Boehmhttps://orcid.org/0000-0002-8162-5090Cite this: Environ. Sci. Technol. 2023, 57, 40, 15298Publication Date (Web):September 27, 2023Publication History Received30 August 2023Published online27 September 2023Published inissue 10 October 2023https://pubs.acs.org/doi/10.1021/acs.est.3c07132https://doi.org/10.1021/acs.est.3c07132correctionACS PublicationsCopyright © 2023 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 Views450Altmetric-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 (924 KB) Get e-Alertsclose 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".