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Record W2891807423 · doi:10.1002/ejoc.201801312

Modern Developments in the Chemistry of Homoenolates

2018· article· en· W2891807423 on OpenAlexafffund
L. Reginald Mills, Sophie A. L. Rousseaux

Bibliographic record

VenueEuropean Journal of Organic Chemistry · 2018
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsUniversity of Toronto
FundersUniversity of TorontoNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsChemistryUmpolungNucleophileElectrophileContext (archaeology)Reactivity (psychology)PopularityCombinatorial chemistrySurface modificationBiochemical engineeringOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Homoenolates are unique synthetic intermediates which display umpolung reactivity. Homoenolates and homoenolate equivalents like cyclopropanols have seen a recent surge in popularity due to their particular utility for accessing β‐functionalized carbonyl derivatives. This popularity has been enabled by the development of protocols for facile access to cyclopropanols and homoenolates from a variety of readily available starting materials. This microreview will highlight common strategies for generating cyclopropanols and metal homoenolates, as well as procedures for homoenolate functionalization, with a particular emphasis on protocols that have appeared after 2003. As an amphoteric molecule, two main reactivity modes have been established: the homoenolate reacts as a carbon nucleophile for β‐functionalization reactions and/or as a carbonyl electrophile, a strategy which has only emerged in the past few years. This microreview will highlight the use of homoenolates as convenient intermediates for accessing especially challenging motifs. The use of homoenolate chemistry in the context of natural product and pharmaceutical synthesis will also be presented.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.004

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations111
Published2018
Admission routes2
Has abstractyes

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Same venueEuropean Journal of Organic ChemistrySame topicCatalytic C–H Functionalization MethodsFrench-language works237,207