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Record W2106555895 · doi:10.1115/1.1867977

Discharge of a Segmented Polymer Electrolyte Membrane Fuel Cell

2004· article· en· W2106555895 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

VenueJournal of Fuel Cell Science and Technology · 2004
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of British ColumbiaBallard Power Systems (Canada)Ontario Tech University
FundersNatural Sciences and Engineering Research Council of CanadaMitacsNational Science Foundation
KeywordsElectrolyteProton exchange membrane fuel cellMembraneMaterials scienceCurrent (fluid)PolymerOxygenElectrodeHydrogenOxygen transportVoltageTransient (computer programming)CathodeChemical engineeringAnalytical Chemistry (journal)Fuel cellsChemistryComposite materialChromatographyComputer scienceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

We present a transient model for an electrically segmented polymer electrolyte membrane (PEM) fuel cell which is run until extinction from a finite oxygen supply. The experimental cell is divided into 16 electrically isolated pucks which are fed oxygen from a small reserve and hydrogen from a conventional flow field. The experimental voltage and through-plane current in each puck, and puck-to-puck currents are recorded and compared to computed profiles. Seven qualitative characteristics of the current profiles during discharge are identified. These are used as targets for parameter tuning, from which puck-to-puck water distribution within the membrane electrode assembly (MEA) is inferred. The model is sensitive to system parameters, and holds promise as an in situ diagnostic tool for tracking this distribution by using MEA oxygen transport characteristics.

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 score0.043
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.003
GPT teacher head0.180
Teacher spread0.177 · 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