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Record W2045893880 · doi:10.1002/ppap.200800074

Plasma Synthesis of Coated Metal Nanoparticles with Surface Properties Tailored for Dispersion

2008· article· en· W2045893880 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

VenuePlasma Processes and Polymers · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicVacuum and Plasma Arcs
Canadian institutionsMcGill University
Fundersnot available
KeywordsEthylene glycolNanoparticleCopperMaterials sciencePlasma polymerizationDispersion (optics)Chemical engineeringSurface modificationPolymerRadicalContact angleMethanolPolymerizationPlasmaMetalReactivity (psychology)Layer (electronics)PhotochemistryPolymer chemistryOrganic chemistryNanotechnologyChemistryComposite material

Abstract

fetched live from OpenAlex

Abstract A method to produce copper nanoparticles coated with an organic plasma polymer layer is presented. The reaction mechanism for plasma polymerization of ethylene glycol is elucidated, and hydroxyl, methanol and ethanol radicals are shown to be present in the RF discharge. UV radiation is shown to have a significant effect on radical formation. Empirical evidence suggests that nanoparticles exhibit enhanced reactivity. Contact angle measurements of coated particles deposited onto copper collection surfaces show hydrophilic or hydrophobic properties when ethylene glycol or ethane, respectively, is used as the precursor gas. Such properties facilitate dispersion into other media by improving the interaction between the solid and liquid phases. magnified image

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 score0.381
Threshold uncertainty score0.559

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)0.0000.000

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 head0.017
GPT teacher head0.201
Teacher spread0.184 · 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