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Evaluation of the Fe(III)/Fe(II) Redox Fuel Cell Cathode Couple in a Bioelectrolytic Solution

2006· article· en· W2006097849 on OpenAlexaff
Franz Moraw, Khalid Fatih, David P. Wilkinson, François Girard

Bibliographic record

VenueAdvanced materials research · 2006
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRedoxDielectric spectroscopyCathodeElectrolyteCyclic voltammetryElectrochemistryChemistryInorganic chemistryDirect-ethanol fuel cellFerricFuel cellsChemical engineeringMaterials scienceElectrode

Abstract

fetched live from OpenAlex

The use of redox fuel cells, in which oxygen is replaced by other oxidants such as ferric ions, can have significant advantages. The redox fuel cell can achieve high efficiencies and has other fuel cell advantages. Bioregeneration is one method of creating a closed cathode system with efficient catholyte regeneration. In the work discussed here, a Fe3+/Fe2+ redox simulated bio-electrolyte catholyte is characterized over a range of electrolyte concentrations and fuel cell operating conditions using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS).

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)0.003
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 score0.018
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.000
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 head0.035
GPT teacher head0.352
Teacher spread0.316 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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