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Record W4411078181 · doi:10.1111/php.14123

Kinetic studies of the interaction of cannabinoids with singlet oxygen

2025· article· en· W4411078181 on OpenAlexafffund
Neeraj Kumar Joshi, Tony Durst, J. C. Scaiano

Bibliographic record

VenuePhotochemistry and Photobiology · 2025
Typearticle
Languageen
FieldChemistry
TopicPhotochemistry and Electron Transfer Studies
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsSinglet oxygenFlash photolysisChemistryXanthonePhotochemistryQuenching (fluorescence)Reactivity (psychology)Reaction rate constantSinglet stateOxygenKineticsAcetonitrileExcited stateOrganic chemistryFluorescence

Abstract

fetched live from OpenAlex

Abstract The kinetics of the interaction of several cannabinoids with singlet oxygen have been examined in acetonitrile solution using laser flash photolysis techniques and using xanthone as a singlet oxygen sensitizer. Typical rate constants for these Type 2 reactions are in the 1–7 × 10 7 M −1 s −1 range and are in accordance with typical reactivities for phenolic compounds. Protection of the phenolic function reduces the reactivity by approximately a factor of five, thus confirming that singlet oxygen quenching is dominated by the phenolic group.

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 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 score0.013
Threshold uncertainty score0.565

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.268
Teacher spread0.254 · 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.

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

Citations1
Published2025
Admission routes2
Has abstractyes

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