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Record W4389063672 · doi:10.1039/d3cs90094k

Contents list

2023· review· en· W4389063672 on OpenAlexfundno aff
Richard Kelly, Harriet Riley, Helen Saxton, Danny Andrews, Ershad Abubacker, Becky Webb, Kirstine Anderson, Matthew J. Bown, Laura Cooper, Hannah Fielding, Anoushka Handa, Claire Harding, Alan Holder, Charlie Palmer, Rosie Rothwell, Donna Smith, Laura Smith, Jade Holliday, Natalie Ford, Jeanne Andres

Bibliographic record

VenueChemical Society Reviews · 2023
Typereview
Languageen
FieldMaterials Science
TopicAdvanced Nanomaterials in Catalysis
Canadian institutionsnot available
FundersShanghai Institute of Organic Chemistry, Chinese Academy of SciencesChangchun Institute of Applied ChemistryIndian Institute of Science Education and Research MohaliUniversidade Federal do ParanáRheinische Friedrich-Wilhelms-Universität BonnKwansei Gakuin UniversityPeking UniversityUniversity of WaterlooRWTH Aachen UniversityZhejiang UniversityWeizmann Institute of ScienceNanjing UniversityPacific Northwest National LaboratorySoochow UniversityUniversità degli Studi di FirenzeShaanxi Normal UniversityTechnische Universität BerlinUniversité de StrasbourgEidgenössische Technische Hochschule ZürichConcordia UniversityUniversidad de GranadaInstitut Català d'Investigació QuímicaTsinghua UniversityChinese Academy of SciencesUniversity of MinnesotaUniversiteit UtrechtUniversity of CincinnatiUniversity of SydneyUniversity of CambridgeUniversity of Science and Technology of ChinaIndian Institute of ScienceIndian Institute of Science Education and Research ThiruvananthapuramNanyang Technological UniversityMcGill UniversityUniversity of LeedsHelsingin YliopistoUniversity of AlbertaUniversity of GlasgowLanzhou UniversityUniversity of OttawaUniversidad Complutense de MadridRhodes UniversityIndian Institute of Technology BombayEwha Womans UniversityNational Renewable Energy LaboratoryEmory UniversityKorea UniversityDartmouth CollegeUniversità di BolognaKing Saud UniversityYonsei UniversityNorthwestern University
KeywordsAcknowledgementAttributionChromatin structure remodeling (RSC) complexComputer scienceWorld Wide WebChemistryComputer securityPsychologySocial psychology

Abstract

fetched live from OpenAlex

Permissions Request permissions Contents list Chem. Soc. Rev., 2023, 52, 8081 DOI: 10.1039/D3CS90094K This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given. Read more about how to correctly acknowledge RSC content.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.106
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8940.879

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 head0.176
GPT teacher head0.401
Teacher spread0.225 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueChemical Society ReviewsSame topicAdvanced Nanomaterials in CatalysisFrench-language works237,207