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Record W2474492018 · doi:10.1021/acscatal.6b00858

Cu/Pd-Catalyzed Synthesis of Fully Decorated Polycyclic Triazoles: Introducing C–H Functionalization to Multicomponent Multicatalytic Reactions ((MC)<sup>2</sup>R)

2016· article· en· W2474492018 on OpenAlexafffund
Zafar Qureshi, Jung Yun Kim, Theodora U. J. Bruun, Heather Lam, Mark Lautens

Bibliographic record

VenueACS Catalysis · 2016
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCanada Council for the ArtsAlphora Research
KeywordsCatalysisCycloadditionChemistryPalladiumAlkyneCombinatorial chemistrySurface modificationCopperAzideOrganic synthesisOrganic chemistryPolymer chemistry

Abstract

fetched live from OpenAlex

A robust method for the dual-metal-catalyzed combination of organic azides, terminal alkynes, and internal alkynes is reported. The reaction is initiated with a chemoselective copper-catalyzed azide alkyne cycloaddition (CuAAC) followed by a palladium-catalyzed incorporation of an internal alkyne. The simple one-pot procedure introduces C–H functionalization to the growing field of multicomponent multicatalytic reactions ((MC) 2 R). With inexpensive CuI and the Herrmann–Beller palladacycle as catalysts, four bonds and two heterocyclic rings are created with HI as the sole byproduct. The broad scope with respect to all components showcases this versatile transformation, leading to a new class of fully substituted polycyclic triazoles. 1 H NMR and deuterium-labeling studies provide insight into the rate differences of the copper and palladium steps.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations65
Published2016
Admission routes2
Has abstractyes

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