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Record W2020058118 · doi:10.1021/ja0172215

Practical Olefin Aziridination with a Broad Substrate Scope

2002· article· en· W2020058118 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of the American Chemical Society · 2002
Typearticle
Languageen
FieldChemistry
TopicSynthesis and Catalytic Reactions
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsChemistryReagentNitreneOverpotentialElectron transferRedoxOlefin fiberCombinatorial chemistryElectrochemistryCatalysisSubstrate (aquarium)SelectivityPhotochemistryStoichiometryElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The present study illustrates the possibility of a rational approach that bypasses the requirement for stoichiometric amounts of toxic oxidants and metal additives (including reagents and catalysts) in organic redox reactions. We describe an aziridination process that delivers a nitrene functionality to olefins from a readily available N-aminophthalimide. Remarkably, both electron-rich and electron-poor olefins are converted to aziridines with high efficiency. The continuum of applied potentials and the heterogeneous nature of reactions at electrode surfaces allow for the electrochemical discrimination of substrates which have similar redox potentials and therefore cannot be selectively reduced or oxidized using soluble reagents. This selectivity is due to the phenomenon of overpotential, the kinetic inhibition of electron transfer on a particular electrode surface.

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.

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 score0.026
Threshold uncertainty score0.452

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 head0.023
GPT teacher head0.269
Teacher spread0.246 · 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