MétaCan
Menu
Back to cohort
Record W2331888829 · doi:10.1149/1.3502350

Electrodeposited Pt-Ir Thin Films as DMFC Anode Materials

2010· article· en· W2331888829 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 · 2010
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsX-ray photoelectron spectroscopyThin filmMaterials scienceMetalAnalytical Chemistry (journal)Composition (language)Deposition (geology)AnodeHydrogenChemical engineeringChemistryElectrodeNanotechnologyPhysical chemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Pt-Ir alloys have been reported previously to be very good catalysts towards the methanol oxidation reaction (MOR), although the composition of these films was not known with certainty. In the present work, thin Pt-Ir films of varying, but controlled, composition were fabricated using electrodeposition, with a charge efficiency of close to 100%. X-ray photoelectron spectroscopy (XPS) analysis showed that the film composition is fully homogeneous with depth into the film and that it matches very closely with the metal molar ratio in the deposition solution. The Pt-Ir film composition with the highest MOR activity was found to have a 2:1 Pt:Ir mass ratio and 1:1 surface composition ratio, based on measurements of the underpotentially deposited adsorbed hydrogen charge.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.034
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.005
GPT teacher head0.211
Teacher spread0.206 · 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