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Record W2227088711 · doi:10.1021/acsmacrolett.5b00791

Postalkylation of a Common mPEG-<i>b</i>-PAGE Precursor to Produce Tunable Morphologies of Spheres, Filomicelles, Disks, and Polymersomes

2016· article· en· W2227088711 on OpenAlex
Frantz Le Dévédec, Amy Won, Jessy Oake, Loujin Houdaihed, Cornelia Bohne, Christopher M. Yip, Christine Allen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Macro Letters · 2016
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of VictoriaUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaGlaxoSmithKline
KeywordsPolymersomeCopolymerEthylene glycolAmphiphileMaterials scienceBiocompatibilitySelf-assemblyClick chemistryNanotechnologyPolymer chemistryChemical engineeringChemistryOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

The facile synthesis of biocompatible materials that self-assemble into nanostructures of well-defined morphology is of keen interest to the biomedical community. Herein, we report on the use of methoxypoly(ethylene glycol)- b -poly(allyl glycidyl ether) (mPEG- b -PAGE) as a platform to generate a series of copolymers derivatized with pendant alkyl chains via thiol–ene click chemistry. Depending on the nature of their hydrophobic block and method of preparation, these amphiphilic block copolymers self-assemble in aqueous solution to form aggregates with distinct and unique morphologies. Spheres, long filomicelles, rods, disks and polymersomes with confirmed biocompatibility were formed from this series of copolymers. These materials hold great promise for use in biomedical applications such as drug delivery.

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.

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 score0.034
Threshold uncertainty score0.509

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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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