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Record W2122647602 · doi:10.1002/pola.24286

Effect of water addition on the coupling of homopolymers by click chemistry

2010· article· en· W2122647602 on OpenAlexaff
Zhilei Liu, Jiwen Hu, Jianping Sun, Guojun Liu

Bibliographic record

VenueJournal of Polymer Science Part A Polymer Chemistry · 2010
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsClick chemistryCopolymerPolymerPolymer chemistryAlkyneChemistryAzideChemical engineeringYield (engineering)Materials scienceOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Abstract Homopolymers bearing terminal azide and alkyne groups can be coupled via click chemistry to yield diblock copolymers. When performed in solvents that dissolved both homopolymers, the click reaction was found in this study to be inefficient, probably due to the embedding of the reactive end groups inside the random coils of the polymers. The efficiency was only slightly affected by the addition of a small amount of water into the reaction mixture. However, the reaction efficiency increased dramatically near the water volume fraction where one or both of the reacting polymers began to precipitate. Further increases in water content caused the polymer(s) to undergo macroscopic phase separation and the click reaction efficiency decreased once again. A possible explanation for the observed effect of water on the polymer coupling reaction is proposed. © 2010 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem, 2010

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.248
Teacher spread0.242 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

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