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Record W1850511474 · doi:10.5539/jmsr.v2n3p51

Combustion of toluene catalyzed by Pt/Co3O4/CeO2-ZrO2-SnO2/r-Al2O3

2013· article· en· W1850511474 on OpenAlexvenueno aff
Min Yeong Kim, Tomoya Kamata, Toshiyuki Masui, Nobuhito Imanaka

Bibliographic record

VenueJournal of Materials Science Research · 2013
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsnot available
Fundersnot available
KeywordsToluenePlatinumCatalysisMaterials scienceCombustionCatalytic combustionInorganic chemistryChemical engineeringOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

A 1wt%Pt/Co3O4/CeO2-ZrO2-SnO2/r-Al2O3 catalyst was prepared to realize complete combustion of toluene at the lowest temperature possible without excessive use of platinum particles. The addition of Co3O4 to Pt/ CeO2-ZrO2-SnO2/r-Al2O3 as a promoter was effective in decreasing the amount of platinum without significant reduction in the catalytic activity. The highest activity for the combustion of toluene was observed using the 1wt%Pt/11wt%Co3O4/16wt%Ce0.62Zr0.20Sn0.18O2.0/r-Al2O3 catalyst, and despite a smaller platinum loading in the present catalyst, toluene was completely oxidized to carbon dioxide and water vapor at a lower temperature of 160 oC compared to that using 5wt%Pt/r-Al2O3 at 170 oC.

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)0.026
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.005
Scholarly communication0.0010.004
Open science0.0040.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.046
GPT teacher head0.372
Teacher spread0.326 · 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.

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

Citations1
Published2013
Admission routes1
Has abstractyes

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