MétaCan
Menu
Back to cohort
Record W2976898707 · doi:10.1021/acs.est.9b04990

Solidification/Stabilization for Soil Remediation: An Old Technology with New Vitality

2019· article· en· W2976898707 on OpenAlexaffabout
Zhengtao Shen, Fei Jin, David O’Connor, Deyi Hou

Bibliographic record

VenueEnvironmental Science & Technology · 2019
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Alberta
FundersNational Key Research and Development Program of China
KeywordsBeijingChinaLibrary scienceCitationChinese academy of sciencesReuseEngineeringPolitical scienceHistoryArchaeologyComputer scienceWaste management

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEViewpointNEXTSolidification/Stabilization for Soil Remediation: An Old Technology with New VitalityZhengtao ShenZhengtao ShenSchool of Environment, Tsinghua University, Beijing 100084, ChinaDepartment of Earth and Atmospheric Sciences, University of Alberta, Edmonton T6G 2E3, CanadaMore by Zhengtao Shenhttp://orcid.org/0000-0002-4841-710X, Fei JinFei JinSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, United KingdomMore by Fei Jinhttp://orcid.org/0000-0003-0899-7063, David O'ConnorDavid O'ConnorSchool of Environment, Tsinghua University, Beijing 100084, ChinaMore by David O'Connor, and Deyi Hou*Deyi HouSchool of Environment, Tsinghua University, Beijing 100084, China*E-mail: [email protected]More by Deyi Houhttp://orcid.org/0000-0002-0511-5806Cite this: Environ. Sci. Technol. 2019, 53, 20, 11615–11617Publication Date (Web):September 26, 2019Publication History Received4 September 2019Published online26 September 2019Published inissue 15 October 2019https://pubs.acs.org/doi/10.1021/acs.est.9b04990https://doi.org/10.1021/acs.est.9b04990newsACS PublicationsCopyright © 2019 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 Views12388Altmetric-Citations131LEARN 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-AlertscloseSUBJECTS:Impurities,Materials,Remediation,Soils,Stabilization 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.227
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations200
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueEnvironmental Science & TechnologySame topicConcrete and Cement Materials ResearchFrench-language works237,207