MétaCan
Menu
Back to cohort
Record W2010972784 · doi:10.1002/cjce.21953

Preparation and characterisation of a new stainless steel/Bi<sub>2</sub>O<sub>3</sub> anode and its dyes degradation ability

2013· article· en· W2010972784 on OpenAlexvenueno aff
Milica Petrović, Jelena Mitrović, Miljana Radović, Aleksandar Bojić

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2013
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsnot available
FundersScience and Engineering Research Board
KeywordsMethylene blueAnodeHydrogen peroxideCalcinationNuclear chemistryOrange (colour)Materials scienceElectrochemistryReactive dyeKineticsMethyl orangeDegradation (telecommunications)PhotocatalysisElectrodeChemistryComposite materialOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Stainless steel/Bi2O3 anode was synthesised by electrodeposition from acidic Bi (III) solution on stainless steel substrate and calcination at 500°C. Characterisation by SEM, EDX, XRD and TGA revealed that the anode surface was fully covered with pure α‐Bi2O3, which formed a inhomogeneous and porous coat. Three dyes with different chromophores, namely: Reactive Blue 19, Methylene blue and Reactive Orange 4 were completely decolourised by electrochemical oxidation at the synthesised anode in the presence of hydrogen peroxide. Decolourisation followed the pseudo‐first order kinetics model for all the three dyes. Decolourisation rates are sorted in descending order: Reactive Orange 4 > Reactive Blue 19 > Methylene Blue. For all the three dyes, an increase of the initial dye concentration caused the decrease of the reaction rate constants. At higher initial dye concentrations, the decolourisation times were significantly prolonged for all the three dyes, however, the complete decolourisation was done as well.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Journal of Chemical EngineeringSame topicAdvanced Photocatalysis TechniquesFrench-language works237,207