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Record W2130484163 · doi:10.1002/kin.20356

On the photoreactivity of vitamin K compounds

2008· article· en· W2130484163 on OpenAlexaff
Angela Swartz, Valerie Patton, Marianne J. Heppleston, Mónica Barra

Bibliographic record

VenueInternational Journal of Chemical Kinetics · 2008
Typearticle
Languageen
FieldChemistry
TopicOrganic Chemistry Cycloaddition Reactions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChemistryQuinoneReaction rate constantQuenching (fluorescence)Reactivity (psychology)AlkylNaphthoquinonePhotochemistryMoietyElectron affinity (data page)Medicinal chemistryOrganic chemistryKineticsMoleculeFluorescence

Abstract

fetched live from OpenAlex

Abstract Rate constants for conversion of vitamin K1‐and K2‐derived 1,3‐quinone methides into 1,2‐quinone methides have been measured in CH3CN solutions in the presence of Brönsted acids and bases. Second‐order rate constants approach the diffusion‐controlled limit and are essentially independent of the (acid or base) strength of the catalyst. On the other hand, rate constants for triplet quenching of 2‐methyl‐3‐undecyl‐1,4‐naphthoquinone, used as model compound, are presented and compared with data for 1,4‐naphthoquinone and 2‐methyl‐1,4‐naphthoquinone. A significant decrease in reactivity is observed as the number of alkyl substituents in the quinoid moiety increases, which is attributed to the concomitant increase in triplet π,π* character. Correlation of rate constants for physical quenching, by aromatic hydrocarbons and dimethylsulfoxide, with the electron affinity of the (ground state) quinone and ionization potential of the quenchers suggests quenching by charge‐transfer interactions. © 2008 Wiley Periodicals, Inc. Int J Chem Kinet 40: 839–844, 2008

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)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.013
GPT teacher head0.239
Teacher spread0.225 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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