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Record W2973272264 · doi:10.1021/acs.macromol.9b01609

Strain-Promoted Azide-Alkyne Cycloaddition-Mediated Step-Growth Polymerization

2019· article· en· W2973272264 on OpenAlex
Stuart A. McNelles, Julia L. Pantaleo, Eric Meichsner, Alex Adronov

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

VenueMacromolecules · 2019
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMonomerBifunctionalPolymer chemistryPolymerizationPolymerChemistryAzideSize-exclusion chromatographyCycloadditionTitrationOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

The development of new polymerization techniques enables the preparation of new polymers with unique functionalities, structures, and architectures. Here, we report a bifunctional monomer based on the strained dibenzoazacyclooctyne (DBCO) structure that efficiently polymerizes with several bifunctional azide comonomers. The reactions proceed to full conversion in under 5 min and routinely results in polymers with molecular weights above 50 kDa, as determined by size-exclusion chromatography and 1H NMR. The polymers were found to retain reactive chain ends, enabling control of molecular weight via monomer addition or titration of monomer stoichiometry. The DBCO-based monomer was further investigated in the synthesis of cross-linked polymers using a trifunctional azide cross-linker, which formed gels at concentrations in excess of 50 mM, as suppression of intramolecular cyclization was necessary. This strategy allows for the rapid and efficient preparation of polymers and cross-linked gels without heat, light, catalysts, initiators, or any by-products.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.052
Threshold uncertainty score1.000

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)0.0090.001

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 head0.005
GPT teacher head0.215
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