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Record W1544337504 · doi:10.1002/pi.4679

Synthesis of new amphiphilic water‐stable hyperbranched polycarbosilane polymers

2013· article· en· W1544337504 on OpenAlexfundno aff
Sílvia Moreno, Tania Lozano‐Cruz, Paula Ortega, M. Pilar Tarazona, F. Javier de la Mata, Rafael Gómez

Bibliographic record

VenuePolymer International · 2013
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsnot available
FundersMinistère de l'Économie, de la Science et de l'Innovation - Québec
KeywordsDispersityGel permeation chromatographyDifferential scanning calorimetryPolymerPolymer chemistryAmphiphileZeta potentialMaterials scienceChemical engineeringChemistryOrganic chemistryCopolymerNanotechnologyNanoparticle

Abstract

fetched live from OpenAlex

Abstract New amphiphilic hyperbranched polymers possessing hydrophobic skeletons and hydrophilic terminal groups have been prepared and characterized. The synthetic strategy involved the formation of a new stable matrix with aromatic units within a carbosilane backbone, as well as the use of a classical polycarbosilane matrix. Both of them with allyl groups on the surface have narrow polydispersity values. Molecular weight and polydispersity of the hyperbranched polymers were obtained using gel permeation chromatography with multi‐angle light scattering, and determination of the average number of functional groups present on the surface was achieved using 1 H NMR spectroscopy. The introduction of ionic groups was carried out via thiol–ene reactions with various thiol derivatives. The thermal properties of the polymers were also analysed using differential scanning calorimetry and zeta potential measurements. © 2013 Society of Chemical Industry

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.065
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0670.002

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 head0.229
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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