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Record W2098999994 · doi:10.1139/v07-074

Co-operative hydration of the carbonyl group — "Bifunctional catalysis" by 2-hydroxypyridine is achieved via a dihydrate of 2-pyridone

2008· article· en· W2098999994 on OpenAlexfundvenueno aff
Yih-Huang Hsieh, Noham Weinberg, Saul Wolfe

Bibliographic record

VenueCanadian Journal of Chemistry · 2008
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryBifunctionalCooperativityCatalysis2-PyridoneAcetic acidAqueous solutionSolventAcetoneKinetic isotope effectMoleculeMedicinal chemistryComputational chemistryOrganic chemistryDeuterium

Abstract

fetched live from OpenAlex

Although 2-hydroxypyridine is one thousand times less acidic than its isomer 3-hydroxypyridine and ten million times less acidic than acetic acid, in the aqueous hydration of 1 mol/L acetone at 298 K the catalytic effect of added 2-hydroxypyridine is 600 000 times greater than that of 3-hydroxypyridine and 20 times greater than that of acetic acid. This experimental result is successfully reproduced by a theoretical treatment that assumes that solvent molecules participate in a cyclic cooperative mechanism that avoids the formation of charged intermediates. However, the theoretical treatment does not support the seemingly obvious conclusion that the origin of the enhanced catalytic activity of 2-hydroxypyridine lies in its bifunctional nature. Rather, this enhanced catalytic activity can be traced to the exceptional thermodynamic stability of the principal reactant complex, which contains a dihydrate of 2-pyridone.Key words: hydration, isotope shift, bifunctional, cooperativity, cyclic mechanism, ab initio, SCRF

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.035
GPT teacher head0.326
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2008
Admission routes2
Has abstractyes

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