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Record W2750575060 · doi:10.1021/acscatal.7b02415

Rethinking the Dehydrogenative Amide Synthesis

2017· article· en· W2750575060 on OpenAlexafffund
Dmitry G. Gusev

Bibliographic record

VenueACS Catalysis · 2017
Typearticle
Languageen
FieldChemistry
TopicAsymmetric Hydrogenation and Catalysis
Canadian institutionsWilfrid Laurier University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsHemiaminalDehydrogenationCatalysisAldehydeChemistryAmideAcetaldehydeCombinatorial chemistryOrganic chemistryPhotochemistryEthanol

Abstract

fetched live from OpenAlex

This paper is concerned with the mechanism of the catalytic dehydrogenative coupling of primary alcohols with amines; it addresses the question on what happens to the aldehyde produced in the catalytic solution upon dehydrogenation of an alcohol substrate. Here we demonstrate a rapid catalytic reaction of acetaldehyde with primary amines, leading to acetamides. The facile amide bond formation is a low-energy, outer-sphere catalytic process elucidated with the help of DFT calculations. Overall, the dehydrogenative amide synthesis comprises two metal-catalyzed cycles: the first producing the aldehyde and H2, and the second where the hemiaminal is formed and is dehydrogenated. The results call into question the existing mechanistic ideas (reviewed by Li and Hall) that invoke the uncatalyzed formation of a free hemiaminal intermediate and assume that the hemiaminal dehydrogenation requires a 16-electron catalyst.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.025
GPT teacher head0.262
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

Citations64
Published2017
Admission routes2
Has abstractyes

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