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Record W3173693530 · doi:10.1021/acs.est.1c02505

Environmental Risks in Atmospheric CO<sub>2</sub> Removal Using Enhanced Rock Weathering Are Overlooked

2021· article· en· W3173693530 on OpenAlexaffabout
Woo‐Jung Choi, Hyun-Jin Park, Yanjiang Cai, Scott X. Chang

Bibliographic record

VenueEnvironmental Science & Technology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Alberta
FundersNational Research Foundation of KoreaNational Natural Science Foundation of China
KeywordsWeatheringLibrary sciencePolitical scienceEngineeringGeochemistryGeologyComputer science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTEnvironmental Risks in Atmospheric CO2 Removal Using Enhanced Rock Weathering Are OverlookedWoo-Jung ChoiWoo-Jung ChoiDepartment of Rural & Bio-Systems Engineering (BK 21), Chonnam National University, Gwangju 61186, Republic of KoreaMore by Woo-Jung Choi, Hyun-Jin ParkHyun-Jin ParkDepartment of Rural & Bio-Systems Engineering (BK 21), Chonnam National University, Gwangju 61186, Republic of KoreaMore by Hyun-Jin Park, Yanjiang CaiYanjiang CaiState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, ChinaMore by Yanjiang Cai, and Scott X Chang*Scott X ChangState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Renewable Resources, University of Alberta, Edmonton, AB T6G 2E3, Canada*Email: [email protected]More by Scott X ChangView Biographyhttps://orcid.org/0000-0002-7624-439XCite this: Environ. Sci. Technol. 2021, 55, 14, 9627–9629Publication Date (Web):June 29, 2021Publication History Received16 April 2021Published online29 June 2021Published inissue 20 July 2021https://pubs.acs.org/doi/10.1021/acs.est.1c02505https://doi.org/10.1021/acs.est.1c02505article-commentaryACS PublicationsCopyright © 2021 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 Views4107Altmetric-Citations4LEARN 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 (2 MB) Get e-AlertscloseSUBJECTS:Carbon,Inorganic carbon compounds,Materials,Platinum,Soils 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.254
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.2540.083

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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations19
Published2021
Admission routes2
Has abstractyes

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