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Record W2903272393 · doi:10.1055/s-0037-1609635

Cu(III)-Mediated Aerobic Oxidations

2018· article· en· W2903272393 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.

Bibliographic record

VenueSynthesis · 2018
Typearticle
Languageen
FieldChemistry
TopicMetal-Catalyzed Oxygenation Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsChemistryMethane monooxygenaseRedoxHeteroatomCatalysisMedicinal chemistryBioinorganic chemistryContext (archaeology)CopperPhotochemistryPolymer chemistryStereochemistryInorganic chemistryOrganic chemistryRing (chemistry)

Abstract

fetched live from OpenAlex

CuIII species have been invoked in many copper-catalyzed transformations including cross-coupling reactions and oxidation reactions. In this review, we will discuss seminal discoveries that have advanced our understanding of the CuI/CuIII redox cycle in the context of C–C and C–heteroatom aerobic cross-coupling reactions, as well as C–H oxidation reactions mediated by CuIII–dioxygen adducts. 1 General Introduction 2 Early Examples of CuIII Complexes 3 Aerobic CuIII-Mediated Carbon–Heteroatom Bond-Forming Reactions 4 Aerobic CuIII-Mediated Carbon–Carbon Bond-Forming Reactions 5 Bioinorganic Studies of CuIII Complexes from CuI and O2 5.1 O2 Activation 5.2 Biomimetic CuIII Complexes from CuI and Dioxygen 5.2.1 Type-3 Copper Enzymes and Dinuclear Cu Model Complexes 5.2.2 Particulate Methane Monooxygenase and Di- and Trinuclear Cu Model Complexes 5.2.3 Dopamine–β-Monooxygenase and Mononuclear Cu Model Complexes 6 Conclusion

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.146
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0350.005

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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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