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Record W4243739555 · doi:10.1021/cen-09425-govcon001

Canada declares chemical in wine a cancer risk

2016· article· en· W4243739555 on OpenAlexaboutno aff
Britt E. Erickson

Bibliographic record

VenueC&EN Global Enterprise · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsWineFood scienceChemistry

Abstract

fetched live from OpenAlex

Ethyl carbamate, which forms when urea reacts with ethanol in wine, poses a risk of carcinogenicity, an assessment by Canadian regulatory agencies concludes. The best way to minimize the formation of ethyl carbamate, also known as urethane, in fermented beverages is to decrease the amount of urea in them, the agencies say. The Canadian government has amended the country’s Food & Drugs Act to allow the enzyme urease in the production of wine, including sake, for that purpose. Drinking wine is thought to be the primary source of exposure to ethyl carbamate. Environmental releases of the chemical are expected to be low and environmental exposures are considered negligible because of the small amount of ethyl carbamate in commerce and its limited uses, Canada’s environmental agency says. “Ethyl carbamate has low toxicity to aquatic organisms; however, some genetic and biochemical effects have been observed in worms and frogs,” it adds.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.683

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)0.0000.000

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 head0.003
GPT teacher head0.238
Teacher spread0.235 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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