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Record W2344447868 · doi:10.1039/9781782621652-00173

The Concept of Multicatalysis in Aerobic Oxidation of Alcohols

2014· book-chapter· en· W2344447868 on OpenAlexaff
Michaël Davi, H. Lebel

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldChemistry
TopicOxidative Organic Chemistry Reactions
Canadian institutionsUniversité de MontréalCentre in Green Chemistry and Catalysis
Fundersnot available
KeywordsAlcohol oxidationBimetallic stripCatalysisEnvironmentally friendlyOxidation processChemistryRedoxCatalytic oxidationOrganic chemistryCombinatorial chemistryChemical engineeringEngineering

Abstract

fetched live from OpenAlex

The transition metal-catalyzed aerobic oxidation of alcohols is an amazing example of an environmentally friendly and efficient process using dioxygen (or air) as a simple and inexpensive oxidant, producing water as by-product. In some cases, cooperative catalysis introduces and provides large benefits for these transformations. This chapter highlights recent developments in multicatalytic systems for the aerobic oxidation of alcohols including biomimetic oxidation and synergistic bimetallic systems. The importance of catalytic aerobic oxidation in multistep reactions for the rapid and efficient construction of highly functionalized structures is discussed.

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 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: Other · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score0.996

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)0.0050.000

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 head0.014
GPT teacher head0.236
Teacher spread0.222 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations1
Published2014
Admission routes1
Has abstractyes

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