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On the Chemical Reactions of Diphenylamine and its Derivatives with Nitrogen Dioxide at Normal Storage Temperature Conditions

2000· article· en· W1984136211 on OpenAlexaff
L. S. Lussier, H. Gagnon, Manfred A. Bohn

Bibliographic record

VenuePropellants Explosives Pyrotechnics · 2000
Typearticle
Languageen
FieldMaterials Science
TopicSynthesis and properties of polymers
Canadian institutionsDepartment of National DefenceDefence Research and Development Canada
Fundersnot available
KeywordsDiphenylamineChemistryNitrogen dioxideDecompositionReactivity (psychology)NitrogenNitroPolymer chemistryNuclear chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The chemical reactions between nitrogen dioxide vapour and diphenylamine (DPA), some of its nitro/nitroso derivatives and between their consecutive products have been studied at temperatures of about 23 °C, whereby cellulose was used as substrate material. The following stabilizer compounds were used as starting components: DPA, N-NO-DPA, 2-NO2-DPA and 4-NO2-DPA. Concentration profiles as function of added nitrogen dioxide have been measured by HPLC. These profiles are similar to the ones obtained by accelerated aging, and the typical consecutive stabilizer products have been formed. The profiles are interpreted in terms of possible reactions. Furthermore, the influences of time and light on the decomposition of the mono-nitro-N-nitroso compounds have been investigated. The consequences of these reactions are discussed to explain differences between the storage aging at ambient temperatures and the higher temperature induced accelerated aging. The reactivity towards nitrogen dioxide for each stabilizer compound was obtained by a kinetic model for the decrease of the starting component.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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

Citations43
Published2000
Admission routes1
Has abstractyes

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