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Record W4214889356 · doi:10.1097/der.0000000000000697

Acetophenone Azine

2020· article· en· W4214889356 on OpenAlexaffvenue
Nadia Raison‐Peyron, Denis Sasseville

Bibliographic record

VenueDermatitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhenothiazines and Benzothiazines Synthesis and Activities
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineAcetophenoneAzineDermatologyOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Acetophenone azine (CAS 729-43-1) was recently discovered as a potent allergen in shin pads and footwear containing the foam elastomer ethyl vinyl acetate. The compound is probably not intentionally added to ethyl vinyl acetate but is likely the result of reactions between other additives that take place during the manufacturing process. A patch testing concentration of 0.1% in acetone or petrolatum is recommended. Acetophenone azine should be part of patch testing shoe series, as well as plastics and glues series. The compound is not currently available from patch testing materials suppliers, a situation that hopefully will be corrected.

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 score0.011
Threshold uncertainty score0.036

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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

Citations10
Published2020
Admission routes2
Has abstractyes

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