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Record W2385639676

Study of Ag/PEO-like Nano-composite Functional Film by Magnetron Sputtering

2008· article· en· W2385639676 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

VenuePackaging Engineering · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsMaterials scienceNanocompositeFourier transform infrared spectroscopyPolyethylene glycolSputteringSputter depositionChemical engineeringComposite numberMonomerAnalytical Chemistry (journal)Composite materialPolymerNanotechnologyThin filmOrganic chemistryChemistry
DOInot available

Abstract

fetched live from OpenAlex

Polymerization polyethylene oxide(PEO)-like and Ag nanocomposite was prepared by means of magnetron sputtering Ag while togetherly feeding with glycol dimethyl ethers vapor as monomer.The nanocomposite were characterized by using UV-visible spectroscopy,Fourier transform infrared(FTIR) spectroscopy,x-ray diffraction(XRD),and atomic force microscopy(AFM) for crystal status,surface morphological,structural and chemical properties.The influence of the process conditions on the structure and compositions of the film was studied.It was found that the macro parameters of plasma,such as working pressure,Ar to monomer ratio,and sputtering power,have greater influence on the structure and compositions of the film;The particles of silver distributing uniformly in the body of nanocomposite is in atomic status and grown preferentially in facet(111),which is benefit to the antibacterial application.

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 score0.023
Threshold uncertainty score0.534

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 head0.014
GPT teacher head0.196
Teacher spread0.181 · 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