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Characterization of Ni-GDC based electrolyte-supported cell under processed biogas composition: Electrochemical performance, degradation and recovery

2025· article· en· W4409254045 on OpenAlexafffund
Hangyu Yu, Cédric Frantz, Louis Savioz, Dante Fronterotta, Philippe Aubin, Christian Geipel, Hamza Moussaoui, Guillaume Jeanmonod, François Maréchal, Jan Van herle

Bibliographic record

VenueElectrochimica Acta · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsHydro-Québec
FundersHorizon 2020 Framework ProgrammeNational Key Research and Development Program of ChinaHorizon 2020China Scholarship CouncilMajor Program of National Fund of Philosophy and Social Science of ChinaHydro-QuébecFuel Cells and Hydrogen Joint UndertakingNational Natural Science Foundation of ChinaÉcole Polytechnique Fédérale de Lausanne
KeywordsDegradation (telecommunications)ElectrochemistryBiogasElectrolyteChemical engineeringComposition (language)Materials scienceCharacterization (materials science)ChemistryPulp and paper industryNuclear chemistryWaste managementElectrodeNanotechnologyEngineering

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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.

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

Citations7
Published2025
Admission routes2
Has abstractno

Explore more

Same venueElectrochimica ActaSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207