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Record W4389554469 · doi:10.1021/acs.est.3c09544

Correction to “Incipient Motion of Exposed Microplastics in an Open-Channel Flow”

2023· erratum· en· W4389554469 on OpenAlexfundno aff
Zijian Yu, Weiwei Yao, Mark Loewen, Xiaochen Li, Wenming Zhang

Bibliographic record

VenueEnvironmental Science & Technology · 2023
Typeerratum
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship Council
KeywordsNoticeCitationSocial mediaSurpriseAltmetricsLibrary scienceComputer scienceWorld Wide WebPolitical sciencePsychology

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to "Incipient Motion of Exposed Microplastics in an Open-Channel Flow"Zijian YuZijian YuMore by Zijian Yu, Weiwei YaoWeiwei YaoMore by Weiwei Yao, Mark LoewenMark LoewenMore by Mark Loewen, Xiaochen LiXiaochen LiMore by Xiaochen Li, and Wenming Zhang*Wenming Zhang*[email protected]More by Wenming Zhanghttps://orcid.org/0000-0002-8101-4089Cite this: Environ. Sci. Technol. 2023, 57, 51, 21927Publication Date (Web):December 11, 2023Publication History Received15 November 2023Published online11 December 2023Published inissue 26 December 2023https://pubs.acs.org/doi/10.1021/acs.est.3c09544https://doi.org/10.1021/acs.est.3c09544correctionACS 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 Views322Altmetric-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-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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.197
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0040.004
Open science0.0030.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.1970.116

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.

Opus teacher head0.011
GPT teacher head0.227
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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