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Record W4245187413 · doi:10.5539/mas.v3n9p0b

Modern Applied Science, Vol. 3, No. 9, September, 2009, all in two files, Part B

2009· article· en· W4245187413 on OpenAlexvenueno aff
Editor MAS

Bibliographic record

VenueModern Applied Science · 2009
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsnot available
FundersEducation Department of Jilin ProvincePeople's Government of Jilin ProvinceMinistry of Education of the People's Republic of China
KeywordsComputer science

Abstract

fetched live from OpenAlex

Polyvinyl alcohol(PVA)/[La(NO 3 ) 3 +Fe(NO 3 ) 3 ] composite nanofibers were fabricated by electrospinning, and polycrystalline LaFeO 3 nanofibers were prepared by calcination of the PVA/[La(NO 3 ) 3 +Fe(NO 3 ) 3 ] composite nanofibers at 600ºC for 10h.The samples were characterized by using X-ray diffraction spectrometry(XRD), scanning electron microscopy(SEM), thermogravimetric-differential thermal analysis(TG-DTA), and Fourier transform infrared spectrometry(FTIR).The results show that PVA/[La(NO 3 ) 3 +Fe(NO 3 ) 3 ] composite nanofibers are amorphous in structure, and pure phase LaFeO 3 nanofibers are orthorhombic with space group Pn*a.The surface of as-prepared composite nanofibers is smooth, and the diameter is ca.180nm.The diameter of LaFeO 3 nanofibers is smaller than that of the relevant composite fibers.The surface of the LaFeO 3 nanofibers becomes coarse with the increase of calcination temperatures.The diameter of LaFeO 3 nanofibers is about 80nm, and the length is greater than 100μm.The mass of the sample remains constant when the temperature is above 500ºC, and the total mass loss percentage is 90%.Possible formation mechanism of LaFeO 3 nanofibers is preliminarily advanced.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.661
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3390.198

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 head0.016
GPT teacher head0.287
Teacher spread0.271 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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