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Record W2027152082 · doi:10.1134/s1023193506050144

Potential oscillations during the electrochemical treatment of white liquor

2006· article· en· W2027152082 on OpenAlexafffund
Kallum M. Koczkur, B. Miller, Linda Bakovic, A. Chen

Bibliographic record

VenueRussian Journal of Electrochemistry · 2006
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryElectrochemistryDielectric spectroscopyCyclic voltammetryElectrochemical potentialAnalytical Chemistry (journal)VoltammetrySodium sulfideInorganic chemistryElectrode potentialElectrodePhysical chemistryChromatography

Abstract

fetched live from OpenAlex

Potential oscillations during the electrochemical treatment of white liquor are reported on. White liquor in the kraft process is composed mainly of sodium sulfide, sodium hydroxide, and sodium carbonate. Cyclic voltammetry, linear galvanic voltammetry, and galvanostatic techniques are used to characterize the behavior of the potential oscillations. The amplitude of the harmonic potential oscillations is between −150 and 750 mV (SCE). The behavior of the potential oscillations strongly depends on the applied current density, temperature, and mass transfer. Electrochemical impedance spectroscopy is employed to study the origin of the oscillations during the electrochemical treatment of the white liquor on the Ti/Ta 2 O 5 -IrO 2 electrodes. Negative faradaic impedance is observed in the potential range of the potential oscillation amplitudes, and equivalent circuits are designed to fit the experimental impedance spectra. The potential oscillations are caused by the synergic effect of sulfur formation/removal and oxygen evolution in the high-potential range.

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 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 score0.005
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0000.000

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 head0.003
GPT teacher head0.201
Teacher spread0.198 · 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

Citations1
Published2006
Admission routes2
Has abstractyes

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