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Record W2945800289 · doi:10.1002/9780470682531.pat0953

Rearrangements and Fragmentations Mediated by Hypervalent Iodine Reagents

2018· other· en· W2945800289 on OpenAlexaff
Sarah E. Wengryniuk, Sylvain Canesi

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemistry
TopicOxidative Organic Chemistry Reactions
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHypervalent moleculeChemistryReagentArylBeckmann rearrangementEnantioselective synthesisIodineDiolStereochemistryCombinatorial chemistryOrganic chemistryAlkylCatalysis

Abstract

fetched live from OpenAlex

Abstract This chapter describes the most important fragmentations and rearrangements induced by hypervalent iodine reagents reported in the literature as heavy metal substitutes. Several remarkable transformations that allow redesigning simple structures into elaborated and functionalized scaffolds are presented. In addition, new generations of famous transformations performed under milder conditions and, consequently, expanded scopes are also listed. Diol cleavage; decarboxylations; radical fragmentations; novel variants of Hofmann, Curtius, and Beckmann rearrangements; and aliphatic and aryl transpositions are discussed. These processes are triggered by stoichiometric or catalytically generated in situ iodane species. In addition, current examples of enantioselective variants are discussed. Other types of rearrangements, such as an iodonio‐Claisen, ring contractions and elongations, and oxidative phenols dearomatization and an arylative Meyer–Schuster reaction, are also listed.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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 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

Citations4
Published2018
Admission routes1
Has abstractyes

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