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Record W3139204660 · doi:10.1002/chem.202181661

Frontispiece: A Survey of Strain‐Promoted Azide–Alkyne Cycloaddition in Polymer Chemistry

2021· paratext· en· W3139204660 on OpenAlexaff
Kelvin Li, Darryl Fong, Eric Meichsner, Alex Adronov

Bibliographic record

VenueChemistry - A European Journal · 2021
Typeparatext
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBioorthogonal chemistryCycloadditionAzideAlkyneClick chemistryChemistryPolymerCombinatorial chemistryMoleculeOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Plugged in: Efficient reactions that enable the assembly of molecules into complex structures have driven extensive progress in synthetic chemistry, particularly those that occur under mild conditions and in benign solvents while producing no by-products and that rapidly reach completion. Amongst these, the strain-promoted azide–alkyne cycloaddition, involving various cyclooctyne derivatives reacting with azide-bearing molecules, has gained extensive popularity in organic synthesis and bioorthogonal chemistry. This reaction has also gained momentum in polymer chemistry, where it has been used to decorate, link, crosslink, and even prepare polymer chains. Read more about key achievements in the use of this reaction to produce a variety of polymeric constructs for disparate applications in the Review by A. Adronov et al. on page 5057.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.113
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.1140.000

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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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