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Record W2102922276 · doi:10.1149/05321.0057ecst

Model Passivated Carbon Electrodes for Fluorine Generation in Molten KF-2HF Electrolyte

2013· article· en· W2102922276 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

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicFiber-reinforced polymer composites
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsElectrodeElectrolytePassivationElectrochemistryMaterials scienceCarbon fibersGraphiteFluorineAmorphous carbonWettingAmorphous solidChemical engineeringInorganic chemistryChemistryMetallurgyComposite materialOrganic chemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Vulcan carbon electrodes of varying PTFE-content (20 w.% and 35 w.%) were synthesized using a sol-gel process. Electrochemical fluorination was carried out over a range of potentials for fluorine generation (4 to 8 V) in molten, KF·2HF electrolyte at ~90 °C. Electrochemical behaviour of PTFE-embedded carbon electrodes was compared to both passivated and non-passivated graphite and amorphous carbon electrodes. An attempt to correlate the amount of embedded PTFE with the degree of passivation on carbon electrodes was made. This was used to compare the non-wetting characteristics of an electrochemically passivated carbon electrode to those of an artificially “passivated” electrode. PTFE contents in the embedded electrodes were confirmed using TGA. The effects of surface and embedded C-F compounds on the electrical properties of the different electrodes were investigated using AC impedance.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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