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Record W2138980522 · doi:10.1002/mame.201300364

Hydrogen‐Bonding Based Reversible Polymer Networks Based on Kraft Lignin and Poly(2‐(Dimethylamino)Ethyl Methacrylate) Series Polymers

2014· article· en· W2138980522 on OpenAlexafffund
Guangzheng Gao, Muzaffer A. Karaaslan, John F. Kadla

Bibliographic record

VenueMacromolecular Materials and Engineering · 2014
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceMethacrylatePolymer chemistryCopolymerEthylene oxidePolymerHydrogen bondMiscibilityChemical engineeringPolymer blendMoleculeOrganic chemistryComposite materialChemistry

Abstract

fetched live from OpenAlex

Abstract Hydrogen‐bonding‐based reversible polymer networks are prepared from poly(2‐(dimethylamino ethyl)methacrylate)‐block‐poly(ethylene oxide)‐block‐poly(2‐(dimethylamino ethyl)methacrylate) (PDMAEMA‐ co ‐PEO‐ co ‐PDMAEMA) triblock copolymer blends with lignin. FTIR and DSC analyses reveal miscible blends. Fitting of the T g /composition data using the Kwei equation produces significantly large positive q ‐values: +275 for PDMAEMA and +413 PDMAEMA‐ co ‐PEO‐ co ‐PDMAEMA. In solution the blends self‐assemble into a hydrogen‐bonded polymer network with a strong dependence on blend composition and solution pH. 1 H NMR spectra show that there is a clear core/corona transformation by adjust the solution pH.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.076
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.004
GPT teacher head0.184
Teacher spread0.180 · 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 teacher head, not a consensus.

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

Citations7
Published2014
Admission routes2
Has abstractyes

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