MétaCan
Menu
Back to cohort
Record W4283259593 · doi:10.1021/acs.orglett.2c01803

Electrosynthesis of Stabilized Diazo Compounds from Hydrazones

2022· article· en· W4283259593 on OpenAlex
Nour Tanbouza, Alessia Petti, Matthew C. Leech, Laurent Caron, Jamie M. Walsh, Kevin Lam, Thierry Ollevier

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

VenueOrganic Letters · 2022
Typearticle
Languageen
FieldChemistry
TopicCyclopropane Reaction Mechanisms
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaRoyal Society of ChemistryCentre in Green Chemistry and CatalysisUniversité LavalUniversity of GreenwichRoyal SocietyEngineering and Physical Sciences Research CouncilLeverhulme Trust
KeywordsDiazoElectrosynthesisChemistryCombinatorial chemistryElectrochemistryReaction conditionsOrganic chemistryPhysical chemistryCatalysisElectrode

Abstract

fetched live from OpenAlex

An electrochemical synthesis of diazo compounds from hydrazones in yields as high as 99% was performed. This method was elaborated as a useful synthetic method and demonstrated on various diazo compounds (24 examples). Apart from exhibiting an efficiency that matched that of commonly used harsh and toxic chemical oxidants, this reaction is practically simple to set up, requires mild conditions, and is highly electron efficient (3 F/mol).

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 categoriesInsufficient payload (model declined to judge)
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 score0.015
Threshold uncertainty score0.986

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)0.0150.000

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 head0.007
GPT teacher head0.189
Teacher spread0.182 · 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