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Record W2114689577 · doi:10.1002/cctc.201402861

New Catalyst Series from the Sol–Gel‐Entrapment of Gold Nanoparticles in Organically Modified Silica Matrices: Proof of Performance in a Model Oxidation Reaction

2014· article· en· W2114689577 on OpenAlexaff
Rosaria Ciriminna, Alexandra Fidalgo, Valerica Pandarus, François Béland, Laura M. Ilharco, Mario Pagliaro

Bibliographic record

VenueChemCatChem · 2014
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsSiliCycle (Canada)
FundersHebrew University of Jerusalem
KeywordsCatalysisHydrogen peroxideMesoporous silicaNanoparticleColloidal goldMesoporous materialSorptionMaterials scienceChemical engineeringHeterogeneous catalysisChemistryNanotechnologyOrganic chemistryAdsorption

Abstract

fetched live from OpenAlex

Abstract Gold nanoparticles were sol–gel‐entrapped in the mesoporous structure of organically modified silica matrices, and the resulting Silia Cat Au materials were tested as oxidation catalysts in the model reaction of 1‐phenylethanol with hydrogen peroxide. The new materials were characterized by electronic microscopy, IR spectroscopy, and cryogenic N 2 sorption. The results point to conclusions of general validity that allow us to advance towards the practical use of supported gold nanoparticles in a number of applications.

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)0.001
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 score0.008
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.014
GPT teacher head0.225
Teacher spread0.210 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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