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Record W2891337544 · doi:10.1177/204124791500600303

Production and Characterization of Gelatin-Starch Polymer Matrix Reinforced with Cellulose Fibers

2015· article· en· W2891337544 on OpenAlexafffund
Wendy Rodríguez-Castellanos, Denis Rodrigue, Fernando Martínez‐Bustos, O. Jímenez‐Arevalo, Tatjana Stevanović

Bibliographic record

VenuePolymers from Renewable Resources · 2015
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsCentre de Géomatique du QuébecUniversité Laval
FundersConsejo Nacional de Ciencia y TecnologíaUniversité du Québec à Trois-Rivières
KeywordsGelatinCelluloseStarchMaterials scienceExtrusionComposite materialThermogravimetric analysisPolymerCompression moldingChemical engineeringPolymer chemistryChemistryFood scienceOrganic chemistryMold

Abstract

fetched live from OpenAlex

In order to produce gelatin-starch polymer matrix reinforced with cellulose using twin-screw extrusion and compression molding, gelatin-potato starch and gelatin-corn starch formulations were plasticized with glycerol (25% w/w) and reinforced with cellulose (0.34% w/w and 0.68% w/w dry basis) to produce flat sheets. According to the analysis of variance performed, adding TEMPO-cellulose in the formulations decreased tensile strain at yield, but increased Young's modulus depending on the type of starch used in the formulation. Scanning electron microscopy and thermogravimetric analyses showed that the formation of a polymer matrix from gelatin/potato starch/TEMPO-cellulose and gelatin/corn starch/TEMPO-cellulose was successfully achieved.

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 score0.002

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 head0.019
GPT teacher head0.213
Teacher spread0.194 · 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

Citations16
Published2015
Admission routes2
Has abstractyes

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