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Record W2148680229 · doi:10.1002/pola.27316

Functional aqueous assemblies of linear‐dendron hybrids

2014· article· en· W2148680229 on OpenAlexafffund
Greg Whitton, Elizabeth R. Gillies

Bibliographic record

VenueJournal of Polymer Science Part A Polymer Chemistry · 2014
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsDendrimerOligomerMacromoleculeLinear polymerPolymerAqueous solutionChemistryMoleculeConjugated systemRedoxCombinatorial chemistryPolymer chemistryMaterials scienceNanotechnologyOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT Linear‐dendron (LD) hybrids are macromolecules comprising a linear polymer or oligomer conjugated at one or both termini with branched macromolecules called dendrons. Since their introduction approximately 2 decades ago, tremendous progress has been made in their synthesis, the study of their self‐assembly, and toward their application in a variety of fields. This highlight is focused on aqueous assemblies of LD hybrids where function is imparted by the dendron, linear component, or both. These functions include the encapsulation and release of drug molecules, enhancement of cell uptake and targeting of specific tissues, and the stabilization of enzymes for catalysis. In addition, many stimuli‐responsive LD hybrids that undergo changes in response to light, enzymes, pH, temperature, redox potential, or even multiple stimuli have been developed. LD hybrids can also be used to form networks via cross‐linking reactions. Described here are the structure–property relationships underlying the functions of these materials, along with their potential applications. © 2014 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2015 , 53 , 148–172

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), Insufficient payload (model declined to judge)
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 score0.015
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
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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

Citations45
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Polymer Science Part A Polymer ChemistrySame topicDendrimers and Hyperbranched PolymersFrench-language works237,207