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Record W2044285747 · doi:10.1021/la204747n

Multi-Responsive Properties of a Poly(Ethylene Glycol)-Grafted Alternating Copolymers of Distyrenic Monomer with Maleic Anhydride

2012· article· en· W2044285747 on OpenAlexaff
Yong‐Guang Jia, X. X. Zhu, Lingyan Liu, Jing Li

Bibliographic record

VenueLangmuir · 2012
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMaleic anhydrideCopolymerPolymer chemistryMonomerEthylene glycolChemistryChain transferSide chainPolymerAmphiphileAqueous solutionCloud pointMaterials scienceOrganic chemistryRadical polymerization

Abstract

fetched live from OpenAlex

A series of amphiphilic copolymers were synthesized by reversible addition-fragmentation chain transfer cyclocopolymerization of a styrenic monomer with maleic anhydride followed by grafting methoxy poly(ethylene glycol) onto the anhydride groups of the polymer chain. These amphiphilic graft copolymers exhibit multiple responsiveness toward temperature, pH, and selected cations in aqueous solutions. The cloud points (CP) of the graft copolymers increase with increasing length of the side chains and with increasing pH value of the solution. The addition of KCl and LiCl to the solutions had a salting-out effect lowering the CPs of the graft copolymers. The addition of NaCl, however, first raised the CP due to the complexation of the crown ether with Na(+) and then lowered the CP. The light scattering results confirmed an increase in phase transition temperature at lower concentrations of NaCl (5 and 10 mM) and then a decrease at a higher concentration of the sodium salt (100 mM).

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)0.000
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 score0.036
Threshold uncertainty score0.528

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)0.0000.000

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 head0.230
Teacher spread0.211 · 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.

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

Citations17
Published2012
Admission routes1
Has abstractyes

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