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Record W2355168721

A study on antibacterial properties of silver coated carbon nanotubes

2007· article· en· W2355168721 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

VenueJournal of Functional Biomaterials · 2007
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsWestern University
Fundersnot available
KeywordsMaterials scienceX-ray photoelectron spectroscopyScanning electron microscopeCarbon nanotubeEnergy-dispersive X-ray spectroscopyAntibacterial activityChemical engineeringNanotechnologyNuclear chemistryComposite materialBacteriaChemistry
DOInot available

Abstract

fetched live from OpenAlex

A silver layer is coated on carbon nanotubes(CNTs) by ion beam assisted deposition(IBAD) method.Standard agar dilution method is used to test antibacterial rate.E.coil and S.aureus bacteria were chose as test bacterial species.The structure and the chemical states are investigated by scanning electron microscope(SEM),energy dispersive X-ray spectroscopy(EDX),X-ray photoelectron spectroscopy(XPS).The results show that silver coated CNTs possesses stronger antibacterial rate than that of silver coated pyrocarbon indicating that the silver coated CNTs may be a new candidate for artificial heart valves.

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)0.003
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 score0.019
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.037
GPT teacher head0.266
Teacher spread0.230 · 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