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Record W1545613098 · doi:10.1002/0470023414.ch18

Rearrangements of Hydrazo, Azoxy and Azo Compounds

2004· book-chapter· en· W1545613098 on OpenAlexaff
Robin A. Cox, Erwin Buncel

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsQueen's University
Fundersnot available
KeywordsBenzidineAzoxyChemistryTautomerProtonationReaction mechanismSigmatropic reactionTransition stateReaction intermediatePericyclic reactionPhotochemistryStereochemistryMedicinal chemistryComputational chemistryOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

This chapter contains sections titled: General Introduction Rearrangements of Hydrazo Compounds The Benzidine Rearrangements The Acid-catalysed Benzidine Rearrangement Reaction Products Kinetic and Other Mechanistic Studies General vs. Specific Acid Catalysis Reaction Intermediates Requirements for an Acceptable Mechanism Theories of Mechanism The Polar-transition-state Theory The Π-complex Theory The Caged-radical Theory Lukashevich's Theory The C-protonated Intermediate Theory The Thermal Benzidine Rearrangement Products Mechanism The Photochemical Benzidine Rearrangement Heterocyclic Hydrazo Compounds Related Rearrangements Rearrangements of Azoxy Compounds The Wallach Rearrangement Introduction Reaction Products Products in Acids Other Than Sulphuric Isotopic Substitution Studies Para-hydroxy Product Ortho-hydroxy Product Oxygen Migration in the Reactant Reaction Intermediates Kinetic Studies Theories of Mechanism The N,N-oxide Intermediate Mechanism The Dicationic Intermediate Mechanism The Quinonoid Intermediate Mechanism Rearrangements Giving Ortho-hydroxy Products Other Aromatic Azoxy Rearrangements Aliphatic Azoxy Rearrangements Rearrangements of Azo Compounds Scope of Presentation Azo–Hydrazone Tautomerism of Aromatic Azo Compounds Tautomerism of Protonated Aromatic Azo Compounds Tautomerism of Aliphatic Azo Compounds Some Further Azo Rearrangements Acknowledgments References

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.586
Threshold uncertainty score0.993

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)0.0080.000

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 head0.006
GPT teacher head0.169
Teacher spread0.163 · 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

Citations25
Published2004
Admission routes1
Has abstractyes

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