MétaCan
Menu
Back to cohort
Record W4226118693 · doi:10.1039/d2se00260d

The porous transport layer in proton exchange membrane water electrolysis: perspectives on a complex component

2022· article· en· W4226118693 on OpenAlexafffund
Xiao‐Zi Yuan, Nima Shaigan, Chaojie Song, Mantaj Aujla, Vladimir Neburchilov, Jason Tai Hong Kwan, David P. Wilkinson, Aimy Bazylak, Khalid Fatih

Bibliographic record

VenueSustainable Energy & Fuels · 2022
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of TorontoUniversity of New BrunswickUniversity of British ColumbiaBC Innovation CouncilNational Research Council Canada
FundersNational Research Council Canada
KeywordsCompendiumElectrolysisComponent (thermodynamics)PorosityLayer (electronics)MembraneProton exchange membrane fuel cellProtonChemical engineeringMaterials scienceElectrolysis of waterChemistryComposite materialEngineeringNuclear physicsElectrolytePhysicsPhysical chemistryElectrodeThermodynamicsBiochemistry

Abstract

fetched live from OpenAlex

The Ti-based PTL materials used in PEMWEs are reviewed. A compendium of attributes of PTLs is established. Impact of the PTL/CL interface on cell performance is examined. Correlation between the PTL properties and cell performance is investigated.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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
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

Citations129
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueSustainable Energy & FuelsSame topicFuel Cells and Related MaterialsFrench-language works237,207