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Record W2384496191

Synthesis,structure and performance characterization of cellulose-based conductive hydrogel

2014· article· en· W2384496191 on OpenAlex

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 Functional Biomaterials · 2014
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of New BrunswickUniversity of Fredericton
Fundersnot available
KeywordsMaterials scienceComposite numberThermal stabilityMicrocrystalline celluloseSwellingChemical engineeringMonomerSelf-healing hydrogelsCelluloseConductivityPolymerPolymer chemistryComposite materialChemistry
DOInot available

Abstract

fetched live from OpenAlex

A kind of novel MCC/PPy composite hydrogel has been prepared using the cross-linking network of microcrystalline cellulose(MCC)as the matrix of the hydrogel,which was dissolved in ionic liquid(chloride-1-butyl-3-methylimidazolium,BMIMCl)and cross-linked by N,N-methylene-bis-arcylamide,and pyrrole(Py)as the monomer of conductive polymer.The chemical structure and morphology of the MCC/PPy composite hydrogel were characterized by FT-IR and SEM,meanwhile,the conductivity,swelling ratio and thermal stability were studied.Results showed that the MCC/PPy composite hydrogel was semi-IPN conductive hydrogel with honeycomb-like structure.Conductivity of the composite hydrogel was between 10-4-10-3 S/cm,and doping of TsONa increased the conductivity significantly.The equilibrium swelling ratio(ESR)decreased with higher MCC content for both pure MCC hyrogel and the composite hydrogel;and ESR of the composite hydrogel could maintain at the level of 500% which was lower than that of the pure MCC hydrogel.Besides,the thermal stability of the composite hydrogel was reduced than the pure MCC hydrogel.

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)0.000
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 score0.012
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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