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Record W1970808007 · doi:10.1021/ol500902p

Kinetic Diastereomer Differentiation in Au(III)- and Bi(III)-Catalyzed Benzylic Arylation: Concise and Stereocontrolled Synthesis of 2-Amino-1,1-diarylalkanes

2014· article· en· W1970808007 on OpenAlexafffund
Étienne Chénard, Stephen Hanessian

Bibliographic record

VenueOrganic Letters · 2014
Typearticle
Languageen
FieldChemistry
TopicCatalytic Alkyne Reactions
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryDiastereomerStereoselectivityCatalysisTrifluoromethanesulfonateNitroReactivity (psychology)StereochemistryMedicinal chemistryOrganic chemistryAlkyl

Abstract

fetched live from OpenAlex

Benzylic alcohols carrying an adjacent α-nitro or α-azido group on the alkane chain are converted into syn-1,1-diaryl-2-nitro- and 2-azidoalkanes with electron-rich arenes in stereoselective reactions catalyzed by Brønsted and Lewis acids. Gold(III) chloride and bismuth(III) triflate were found to be especially efficient as catalysts, showing kinetically controlled differentiation in the reactivity of diastereomeric α-substituted benzyl alcohols. Applications to therapeutically relevant syn- and anti- 2-amino-1,1-diarylalkanes are projected.

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 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 score0.247
Threshold uncertainty score0.976

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)0.0000.000

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 head0.006
GPT teacher head0.193
Teacher spread0.187 · 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.

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

Citations15
Published2014
Admission routes2
Has abstractyes

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