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Record W2122319711 · doi:10.1002/apj.184

Enhancement of PEMFC performance by using carbon nanotubes supported PtCo alloy catalysts

2008· article· en· W2122319711 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

VenueAsia-Pacific Journal of Chemical Engineering · 2008
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsWestern University
Fundersnot available
KeywordsBimetallic stripMaterials scienceCarbon nanotubeCatalysisAlloyChemical engineeringSilaneTransmission electron microscopyCathodeNanoparticleProton exchange membrane fuel cellNanotechnologyCarbon fibersComposite materialMetallurgyChemistryOrganic chemistryMetal

Abstract

fetched live from OpenAlex

Abstract Carbon nanotube‐based PtCo (PtCo/CNT) alloy electrocatalysts for the oxygen reduction reaction were prepared by the silane‐assisted deposition method. The transmission electron microscopy (TEM) reveals that the prepared PtCo alloy nanoparticles are uniformly dispersed on the surface of the CNTs support with narrow particle size distribution. As compared to Pt/CNTs catalyst, the bimetallic PtCo/CNTs catalyst exhibits an improved performance as cathode material in a H 2 /O 2 fuel cell. Copyright © 2008 Curtin University of Technology and John Wiley & Sons, Ltd.

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 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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.190
Teacher spread0.183 · 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