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Record W2326784158 · doi:10.2741/s376

Reactive electrophilic metabolites of aromatic amine and amide carcinogens

2012· review· en· W2326784158 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in Bioscience-Scholar · 2012
Typereview
Languageen
FieldChemistry
TopicChemical Reactions and Mechanisms
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthAmerican Cancer Society
KeywordsChemistryReactive intermediateElectrophileCarcinogenAmideAmine gas treatingAdductAromatic amineAzideCombinatorial chemistryOrganic chemistryPhotochemistry

Abstract

fetched live from OpenAlex

Aromatic and heterocyclic amines are a major class of chemical mutagens and carcinogens. The toxicity of these compounds is a consequence of their metabolic activation. The best-characterized enzymatic pathways for aromatic amine activation lead to the formation of reactive esters such as N-acetoxyarylamines, which are believed to be precursors of short-lived nitrenium ions. In the 1960s, nitrenium ions were invoked as likely intermediates in the formation of arylamine-derived DNA adducts. More recently, nitrenium ion chemistry has been studied by methods such as trapping with azide ion, laser flash photolysis, and the preparation of highly stabilized of examples (e.g., dianisylnitrenium ion). In this review, we discuss the development of our understanding of nitrenium ion chemistry, with emphasis on their generation in biological systems and their reactions with critical targets such as DNA.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.277
Teacher spread0.247 · 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