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Record W4232801396 · doi:10.1021/ac902383w

Cyclic Biamperometry

2010· article· en· W4232801396 on OpenAlexafffund
Mehdi Rahimi, Susan Mikkelsen

Bibliographic record

VenueAnalytical Chemistry · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAdvanced Scientific Research Methods
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistry

Abstract

fetched live from OpenAlex

Cyclic biamperometry has been investigated as a method for the quantitation of one form of a reversibly electroactive redox couple in the presence of the other form, using the ferri-ferrocyanide couple in aqueous KCl. A triangular voltage waveform applied across two equal-area, planar gold electrodes yields peak currents that depend on the square root of the applied voltage scan rate, when one form of the redox couple is present in excess. Independent measurement of electrode-to-solution potential during biamperometric scans allowed estimation of the fractional impedance at each electrode-solution interface, and these values allow calculation of the effective potential scan rates at each electrode. Results show that when one form is present in a 5-fold excess or greater, the potential scan rate for the limiting reaction is nearly identical to the applied voltage scan rate. Similar values were obtained from impedance calculations, but discrepancies between the predicted and experimental values are evident when the two forms are present at near equivalent concentrations. When one form of the redox couple is present in excess, cyclic biamperometric peak currents depend linearly on the concentration of the limiting form, and these currents can be amplified by using cells with one electrode much larger than the other. Because this method does not require a reference electrode, it can, in principle, be readily incorporated into new electrochemical array or lab-on-a-chip devices.

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)0.003
metaresearch head score (Gemma)0.006
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: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0110.006

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 head0.031
GPT teacher head0.328
Teacher spread0.297 · 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
GenreMethods

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

Citations9
Published2010
Admission routes2
Has abstractyes

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