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Record W1840318257 · doi:10.1016/j.crci.2015.09.001

Identification of by-products issued from the catalytic oxidation of toluene by chemical and biological methods

2015· article· en· W1840318257 on OpenAlexfundno aff
Julien Brunet, Éric Genty, Yann Landkocz, Margueritta Al Zallouha, Sylvain Billet, Dominique Courcot, Stéphane Siffert, Diane Thomas, Guy De Weireld, Renaud Cousin

Bibliographic record

VenueComptes Rendus Chimie · 2015
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsnot available
FundersAgence de l'Environnement et de la Maîtrise de l'EnergieAgence Universitaire de la FrancophonieUniversité du Littoral Côte d'Opale
KeywordsEthylbenzeneChemistryTolueneCatalysisBTEXBenzeneCatalytic oxidationPalladiumNuclear chemistryMedicinal chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Benzene, toluene, ethylbenzene and xylenes (BTEX) are substances that are very commonly encountered in almost all sectors of the industry. Consequently, these molecules may be present in large amounts in industrial exhausts loaded with VOCs. An effective method for their elimination is catalytic oxidation, which is an economic and ecologic alternative to thermal oxidation. The aim of this work is to reveal the by-products issued from the total oxidation of toluene by palladium-based catalysts. The identification of these by-products was done using a chemical and toxicological approach. A toxicological validation of the developed catalysts was performed by coupling the catalytic system with an air–liquid interface (aLI) system, called Vitrocell ® , to expose lung cells to catalytic exhausts.

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)0.002
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 score0.007
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.322
Teacher spread0.271 · 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

Citations25
Published2015
Admission routes1
Has abstractyes

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