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Record W2134411885 · doi:10.1002/app.33754

Structure and properties of poly(butylene succinate) filled with lignin: A case of lignosulfonate

2011· article· en· W2134411885 on OpenAlex
Ning Lin, Dongkuan Fan, Peter R. Chang, Jiahui Yu, Xiao‐Chun Cheng, Jin Huang

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 Applied Polymer Science · 2011
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsMaterials sciencePolybutylene succinatePolyesterCompression moldingBiodegradationNucleationComposite materialLigninPolymerChemical engineeringBiodegradable polymerPolymer chemistryChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract A new kind of blend material was prepared by the incorporation of lignosulfonate calcium (LS), as the filler, into biodegradable poly(butylene succinate) (PBS), as the polymeric matrix, with the process of melt mixing and subsequent compression molding. The nucleation of LS improved the crystalline properties of the PBS component in the blends. Combined with the rigidity nature of the LS filler, the Young's modulus values of the blends were enhanced. Furthermore, the introduction of LS in this biodegradable polyester slightly increased the hydrophilicity of the blends, shown as higher values of water uptake at equilibrium; this might facilitate the biodegradation of hydrophobic polyesters. Consequently, this study opened one way of enhancing the rigidity and decreasing the cost of biodegradable PBS‐based polymeric plastics. © 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2011

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)0.001
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 score0.029
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.201
Teacher spread0.182 · 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