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Record W2316375307 · doi:10.1021/cr4000336

Ionically Conducting Ceramics as Active Catalyst Supports

2013· review· en· W2316375307 on OpenAlexaff
P. Vernoux, Leonardo Lizárraga, Mihalis N. Tsampas, F.M. Sapountzi, A. de Lucas-Consuegra, J.L. Valverde, S. Souentie, C.G. Vayenas, D. Tsiplakides, Stella Balomenou, Elena A. Baranova

Bibliographic record

VenueChemical Reviews · 2013
Typereview
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChemistryCatalysisCeramicNanotechnologyChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTIonically Conducting Ceramics as Active Catalyst SupportsPhilippe Vernoux*†, Leonardo Lizarraga†, Mihalis N. Tsampas†, Foteini M. Sapountzi†, Antonio De Lucas-Consuegra‡, Jose-Luis Valverde‡, Stamatios Souentie§, Costas G. Vayenas§∥, Dimitris Tsiplakides⊥, Stella Balomenou⊥, and Elena A. Baranova#View Author Information† Université de Lyon, Institut de Recherches sur la Catalyse et l'Environnement de Lyon, UMR 5256, CNRS, Université Claude Bernard Lyon 1, 2 Avenue A. Einstein, 69626 Villeurbanne, France‡ Departamento de Ingeniería Química, Facultad de Ciencias y Tecnologı́as Químicas, Universidad de Castilla-La Mancha, Avenida Camilo José Cela 10, 13005 Ciudad Real, Spain§ LCEP, Caratheodory 1 Street, Department of Chemical Engineering, University of Patras, Patras GR-26500, Greece∥ Division of Natural Sciences, Academy of Athens, Panepistimiou 36 Avenue, GR-10679, Athens, Greece⊥ Chemical Process Engineering Research Institute (CPERI), Centre for Research and Technology−Hellas (CERTH), Thessaloniki, Greece# Department of Chemical and Biological Engineering, University of Ottawa, 161 Louis-Pasteur Ottawa, Ontario K1N 6N5, Canada*Phone: (33) (0)4 72 43 15 87. Fax: (33) (0)4 72 43 16 95. E-mail: [email protected]Cite this: Chem. Rev. 2013, 113, 10, 8192–8260Publication Date (Web):July 5, 2013Publication History Received21 January 2013Published online5 July 2013Published inissue 9 October 2013https://pubs.acs.org/doi/10.1021/cr4000336https://doi.org/10.1021/cr4000336review-articleACS PublicationsCopyright © 2013 American Chemical SocietyRequest reuse permissionsArticle Views6992Altmetric-Citations194LEARN 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 Other access optionsGet e-Alertsclose SUBJECTS:Catalysts,Ions,Oxides,Oxygen,Platinum 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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.138
GPT teacher head0.406
Teacher spread0.268 · 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
GenreReview

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

Citations228
Published2013
Admission routes1
Has abstractyes

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