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Record W2165052555 · doi:10.1260/026361709790252632

Adsorption of HCN onto Copper@Copper-Oxide Core–Shell Nanoparticle Systems

2009· article· en· W2165052555 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

VenueAdsorption Science & Technology · 2009
Typearticle
Languageen
FieldMaterials Science
TopicCopper-based nanomaterials and applications
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsCopperChemistryNanoparticleAdsorptionChemisorptionInorganic chemistryOxideCopper oxideChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Copper compounds are widely used as impregnants that enhance the removal of HCN by carbon-based filter media. The reaction mechanism involved is poorly understood. In this study, we have followed the reaction of HCN with pristine copper, copper oxide (CuO and Cu 2 O) and copper@copperoxide (Cu@Cu 2 O) core–shell nanoparticles of well-defined size and composition. We have established a cooperative reaction mechanism where both the copper oxide shell and copper core are required for the chemisorption of HCN onto copper nanoparticle impregnants. The suitability of copper@copperoxide nanoparticles as impregnants for the removal of HCN in respirator canisters is discussed.

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)0.001
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 score0.034
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.282
Teacher spread0.259 · 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