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Record W2026877852 · doi:10.1021/ie800162j

Wet Air Oxidation of Benzene

2008· article· en· W2026877852 on OpenAlexaff
Basim Abussaud, Nilgun Ulkem, Dimitrios Berk, G. J. Kubes

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2008
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsMcGill University
FundersKing Fahd University of Petroleum and Minerals
KeywordsBenzeneFormic acidWet oxidationAutoclaveChemistryPartial pressureAcetic acidOxygenAtmospheric temperature rangeInorganic chemistryNuclear chemistryCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

The wet air oxidation of benzene has been studied in a 1.24 L stainless steel autoclave at a temperature in the range of 190−260 °C. The oxygen partial pressure was varied from 0.69 to 1.72 MPa. The initial C 6 H 6 concentration was 5.63 mmol/L. The influence of the pH was studied, and the main reaction intermediates were determined. It was found that the temperature has a great influence on the wet air oxidation of benzene. The effect of the oxygen partial pressure was significant only at the beginning of the reaction. Decrease of the initial pH of the reaction results in a considerable increase in the benzene degradation rate, especially at the lower temperature. The main intermediates were found to be acetic acid and formic acid.

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)0.002
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 score0.001
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.113
GPT teacher head0.330
Teacher spread0.217 · 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

Citations21
Published2008
Admission routes1
Has abstractyes

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