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Record W2075515407 · doi:10.1002/elan.200804401

Abrasive Stripping Voltammetry in Room Temperature Ionic Liquids

2008· article· en· W2075515407 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueElectroanalysis · 2008
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsLakehead University
FundersEngineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsIonic liquidStripping (fiber)VoltammetryAnthraceneCyclic voltammetryPrussian blueInorganic chemistrySolventAnodic stripping voltammetryCopperChemistryMaterials scienceAbrasiveElectrochemistryElectrodeOrganic chemistryMetallurgyComposite materialPhysical chemistryCatalysis

Abstract

fetched live from OpenAlex

Abstract We report on the abrasive stripping voltammetry (AbrSV) of six different solid compounds of widely different natures in room temperature ionic liquids (RTILs). Copper as a metal representative, Prussian blue as a typical inorganic complex, indigo as an organic dye model, and anthracene, pyrene, and 9,10‐diphenylanthracene as the typical representatives of aromatic hydrocarbons were chosen in this study. They were immobilized on a gold electrode surface by mechanical abrasion and their subsequent voltammetric measurements were carried out in the ionic liquid [C 4 mim][NTf 2 ], 1‐butyl‐3‐methylimidazolium bis(trifluoromethylsulfonyl)imide. The present work demonstrates that RTILs provide an excellent electrochemical solvent environment for abrasive stripping voltammetric analysis; in particular, the much wider potential windows in RTILs as compared to aqueous media greatly enhance the analytical applicability of the AbrSV technique.

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 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 score0.012
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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