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Record W2107599752 · doi:10.1002/celc.201402426

In Situ Electrochemical Generation of Hydrogen Peroxide in Alkaline Aqueous Solution by using an Unmodified Gas Diffusion Electrode

2015· article· en· W2107599752 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemElectroChem · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsElectrolysisOxidizing agentElectrochemistryGas diffusion electrodeChemistryHydrogen peroxideElectrodeAqueous solutionDiffusionAnalytical Chemistry (journal)HydrogenReversible hydrogen electrodeAlkaline water electrolysisReaction rate constantInorganic chemistryKineticsReference electrodeChromatographyPhysical chemistryThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Hydrogen peroxide (H 2 O 2 ) is an oxidizing agent commonly used for various applications and is available in aqueous solution in a wide range of concentrations. This work describes the H 2 O 2 electrogeneration process in alkaline medium (KOH 1.0 mol L −1 ), using an unmodified gas diffusion electrode (GDE) manufactured with Printex 6L carbon. The experiments were performed in a single‐compartment electrochemical cell equipped with a GDE as the working electrode, which was fed with N 2 or O 2 at a pressure of 0.2 bar. Electrolysis experiments were performed at a constant potential (−0.5≤ E ≤−1.4 V) for 90 min. The H 2 O 2 concentration reached a maximum value of 3370 mg L −1 at −1.1 V (vs. Ag/AgCl), and H 2 O 2 electrogeneration followed pseudo‐zero‐order kinetics with an apparent rate constant k app =59.7 mg L −1 min −1 . A low energy consumption of 8.0 kWh kg −1 was calculated for these electrogeneration conditions.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.281
Teacher spread0.245 · 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