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Record W1816534984 · doi:10.1109/iseim.1998.741866

Distribution of intermediates during removal of benzene from aqueous solutions by low energy electron beam

2002· article· en· W1816534984 on OpenAlexaff
Sigrid Peldszus, P. Lubicki, Susan Andrews, Shesha Jayaram

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsUniversity of WaterlooNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsBenzeneAqueous solutionPhenolsChemistryCarboxylic acidRadicalPhotochemistryOrganic chemistryInorganic chemistry

Abstract

fetched live from OpenAlex

This paper presents results from an experiment that utilizes a low energy electron beam apparatus for the removal of benzene from an aqueous solution. The configuration of the irradiator is briefly described, a significant detail of which is the use of boron nitride windows. Concentrations of benzene and its oxidation by-products including phenols, aldehydes and carboxylic acids were monitored throughout the experiment. No analysis was undertaken for by-products formed from reductive pathways. Phenolic intermediates were formed first followed by the development of organic acid intermediates. Aldehydes were only formed to a minor extent. All of these oxidation by-products together account for nearly 30% of the total organic carbon of the parent compound. However, at the time when benzene was degraded to non detect levels, intermediates were still present in significant amounts. These intermediates were detected in the following relative distribution: 90% were carboxylic acid intermediates, followed by phenols with 9% and aldehydes with 1%.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.009
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.180
Teacher spread0.176 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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