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Record W2030987728 · doi:10.5539/ijc.v6n2p73

Participation in Self-Emulsification by Oil-Thin Film Voltammetry

2014· article· en· W2030987728 on OpenAlexvenueno aff
Koichi Aoki, Jie Yu, Jingyuan Chen, Toyohiko Nishiumi

Bibliographic record

VenueInternational Journal of Chemistry · 2014
Typearticle
Languageen
FieldEngineering
TopicLubricants and Their Additives
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsFerricyanideChemistryNitrobenzeneAqueous two-phase systemAqueous solutionCyclic voltammetryVoltammetryElectrodePhase (matter)Electron transferPulmonary surfactantRedoxAdsorptionElectrochemistryChemical engineeringAnalytical Chemistry (journal)Inorganic chemistryChromatographyPhotochemistryOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

When an oil phase comes in contact with an aqueous phase, emulsions are formed spontaneously in each phase even without surfactant. The self-emulsification seems inconsistent with the electron transfer model proposed by Anson, in which ferricyanide in the aqueous phase is reduced at the oil/water interface by decamethylferrocene of the thin nitrobenzene phase. Anson’s experimental data were here reproduced at slow scan voltammetry. However, the electron transfer model did not agree with our experimental results at high scan rates, in that the reduction wave of ferricyanide appeared without decamethylferrocene. Ferricyanide was demonstrated to pass through the nitrobenzene film in the form of aqueous droplets, which were adsorbed on the electrode surface. Formation of aqueous droplets can explain electrode reactions at carbon paste electrodes without including redox species in paste.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.230
Teacher spread0.226 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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