MétaCan
Menu
Back to cohort
Record W1991666355 · doi:10.1179/mri.2006.10.2.169

Controlled Synthesis of Tungsten and Tungsten Oxide Nanorod Films

2006· article· en· W1991666355 on OpenAlexafffund
Weifeng Chen, Chijin Xiao, Q. Yang, Songlan Yang, Akira Hirose

Bibliographic record

VenueMaterials Research Innovations · 2006
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsTungstenNanorodMaterials scienceScanning electron microscopeTransmission electron microscopyTungsten oxideProtein filamentOxideChemical engineeringArgonNanotechnologyAnalytical Chemistry (journal)MetallurgyComposite materialChemistry

Abstract

fetched live from OpenAlex

Tungsten and tungsten oxide films were deposited in a hot filament reactor under flowing argon atmosphere at various filament temperatures, followed by the characterization via scanning electron microscopy (SEM), transmission electron microscopy (TEM), and x-ray diffraction (XRD). It revealed that both tungsten (W) and tungsten oxide [WO2+x (0≤x<1)] nanorods with diameters in the range of 4-200 nm and lengths up to a few microns can be synthesized. After deposition at higher temperatures (above 2200 °C), the predominant phase in the film was tungsten, while with the filament temperature decreasing, the content of WO2+x increased significantly. It implies that the method applied in the present study enables the synthesis of high purity tungsten or tungsten oxide nanorods possible.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.036
GPT teacher head0.314
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueMaterials Research InnovationsSame topicTransition Metal Oxide NanomaterialsFrench-language works237,207