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Record W2087036808 · doi:10.1002/mame.200900138

Fabrication and Characterization of Sb<sub>2</sub>O<sub>3</sub>/Carboxymethyl Cellulose Sodium and the Properties of Plasticized Starch Composite Films

2009· article· en· W2087036808 on OpenAlexaff
Peter R. Chang, Jiugao Yu, Xiaofei Ma

Bibliographic record

VenueMacromolecular Materials and Engineering · 2009
Typearticle
Languageen
FieldChemistry
TopicPigment Synthesis and Properties
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsMaterials scienceCarboxymethyl celluloseNanocompositeUltimate tensile strengthComposite numberNanoparticleThermal stabilityComposite materialChemical engineeringElongationSodiumNanotechnology

Abstract

fetched live from OpenAlex

Abstract Sb2O3 nanoparticles were prepared using CMC as the stabilizing agent. The nanocomposite was fabricated with Sb2O3/CMC nanoparticles as the filler in a GPS matrix. Characterization of Sb2O3/CMC nanoparticles revealed that Sb2O3 (about 84 wt.‐%) was encapsulated by CMC (about 16 wt.‐%) with the size of about 30–50 nm. Because there was good interaction between the Sb2O3/CMC filler and the GPS matrix, Sb2O3/CMC nanoparticles could be uniformly dispersed in the GPS matrix at a low filler loading level, resulting in obvious improvement in tensile strength and UV absorbance, and in the resistance of water vapor permeability. However, introduction of the nanoparticles into the matrix, decreased the elongation at break and the thermal stability of the nanocomposites. magnified image

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 head0.006
GPT teacher head0.165
Teacher spread0.159 · 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

Citations30
Published2009
Admission routes1
Has abstractyes

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