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Record W1834797690 · doi:10.1139/v2012-031

Gold cellular networks inside water-soluble sodium alginate sol

2012· article· en· W1834797690 on OpenAlexvenueno aff
Jishi Wei, Jianmao Yang, Shuyan Gao

Bibliographic record

VenueCanadian Journal of Chemistry · 2012
Typearticle
Languageen
FieldMaterials Science
TopicNanocluster Synthesis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryNanostructureNanotechnologyAqueous solutionNanoscopic scaleSodium alginateSodiumFabricationNoble metalMetalChemical engineeringOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

The present work demonstrates the fabrication of unique gold cellular networks inside water-soluble sodium alginate sol. In conjunction with control experiments, UV–vis spectra and TEM images structurally give a piece of robust evidence that Au(III) and sodium alginate combined with preparation parameters synergically favor the formation of gold cellular networks. From the viewpoint of green chemistry, the cheap and safe reactant sodium alginate and the friendly aqueous medium make the present method possible for applications in large-scale production of metallic cellular networks. Thus, coupled with facile and green creation, the gold cellular networks open new opportunities for noble metal nanostructures, with different morphologies, as biological labels, energy transfer pairs, and other nanoscale electronics.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
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 score0.076
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)0.0010.000

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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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