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Record W4210801797 · doi:10.1002/anie.202200352

Mapping Dual‐Base‐Enabled Nickel‐Catalyzed Aryl Amidations: Application in the Synthesis of 4‐Quinolones

2022· article· en· W4210801797 on OpenAlexafffund
Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto

Bibliographic record

VenueAngewandte Chemie International Edition · 2022
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsParaza Pharma (Canada)Saint Mary's UniversityDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHalideCatalysisNickelChemistryArylAmine gas treatingAmideCombinatorial chemistryLigand (biochemistry)Base (topology)Catalytic cycleElectrochemistryInorganic chemistryOrganic chemistryElectrode

Abstract

fetched live from OpenAlex

Abstract The C−N cross‐coupling of (hetero)aryl (pseudo)halides with NH substrates employing nickel catalysts and organic amine bases represents an emergent strategy for the sustainable synthesis of (hetero)anilines. However, unlike protocols that rely on photoredox/electrochemical/reductant methods within Ni I/III cycles, the reaction steps that comprise a putative Ni 0/II C−N cross‐coupling cycle for a thermally promoted catalyst system using organic amine base have not been elucidated. Here we disclose an efficient new nickel‐catalyzed protocol for the C−N cross‐coupling of amides and 2′‐(pseudo)halide‐substituted acetophenones, for the first time where the (pseudo)halide is chloride or sulfonate, which makes use of the commercial bisphosphine ligand PAd2‐DalPhos ( L4 ) in combination with an organic amine base/halide scavenger, leading to 4‐quinolones. Room‐temperature stoichiometric experiments involving isolated Ni 0, I, and II species support a Ni 0/II pathway, where the combined action of DBU/NaTFA allows for room‐temperature amide cross‐couplings.

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 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 score0.006
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)0.0010.000

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 head0.018
GPT teacher head0.265
Teacher spread0.246 · 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

Citations32
Published2022
Admission routes2
Has abstractyes

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