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Record W2991518399 · doi:10.1021/acscatal.9b04128

Rhodium-Catalyzed Tandem Isomerization–Allylation: From Diallyl Carbonates to α-Quaternary Aldehydes

2019· article· en· W2991518399 on OpenAlexafffund
Jeanne Masson‐Makdissi, Young Jin Jang, Liher Prieto, Mark S. Taylor, Mark Lautens

Bibliographic record

VenueACS Catalysis · 2019
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsUniversity of Toronto
FundersUniversity of TorontoEuskal Herriko UnibertsitateaEusko JaurlaritzaCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaAlphora Research
KeywordsChemoselectivityRhodiumChemistryRegioselectivityIsomerizationElectrophileNucleophileCatalysisCascade reactionReactivity (psychology)Combinatorial chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

We report a Rh-catalyzed tandem isomerization–allylation sequence for the generation of α-quaternary aldehydes, starting from unsymmetrical diallyl carbonates. This reaction features a highly selective oxidative addition of the rhodium catalyst, leading to the discrimination of electrophilic and nucleophilic elements of various diallyl carbonates. A rhodium-enolate and an allyl electrophile are produced catalytically in situ in a controlled fashion, enabling this reaction to occur with high chemoselectivity and regioselectivity. Mechanistic investigation via reaction progress kinetic analysis uncovered second-order kinetics in rhodium, suggesting that an unexpected dual metal pathway may be operative for the key C–C bond-forming step.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2019
Admission routes2
Has abstractyes

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