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Record W4400363504 · doi:10.1016/j.tchem.2024.100081

Electrochemical oxidations through hypervalent iodine redox catalysis

2024· article· en· W4400363504 on OpenAlexfundno aff
R Bernard, Ajit Kumar Jha, Marcin Kałek

Bibliographic record

VenueTetrahedron Chem · 2024
Typearticle
Languageen
FieldChemistry
TopicOxidative Organic Chemistry Reactions
Canadian institutionsnot available
FundersInstitute of Infection and ImmunityNarodowym Centrum NaukiNarodowe Centrum Nauki
KeywordsHypervalent moleculeIodineRedoxElectrochemistryCatalysisChemistryInorganic chemistryPhotochemistryOrganic chemistryElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

<h2>Abstract</h2> In recent years, a growing number of oxidations that involve electrochemical regeneration of catalytic hypervalent iodine species has been developed. These transformations benefit from the combination of rich reactivity offered by hypervalent iodine compounds and sustainability advantage provided by electrocatalysis, which eliminates the need for any stoichiometric redox reagents. This review provides a systematic overview of this emerging field, covering the most abundant two-electron electrocatalysis with iodoarenes via I(I)/I(III) redox cycle, the isolated existing example of I(V)/I(VII) cycle, and a newly developed approach exploiting iodoarenes as I(I)/I(II) single-electron transfer mediators.

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 score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.016
GPT teacher head0.266
Teacher spread0.251 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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