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Record W1992386005 · doi:10.1021/ie0507575

Modeling and Simulation of Diimide Hydrogenation of Nitrile Butadiene Rubber Latex

2006· article· en· W1992386005 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

VenueIndustrial & Engineering Chemistry Research · 2006
Typearticle
Languageen
FieldMaterials Science
TopicSynthesis and properties of polymers
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaCenters for Disease Control and Prevention
KeywordsDiimideNitrile rubberMaterials scienceNitrilePhotochemistryPolymer chemistryDiffusionNatural rubberChemistryOrganic chemistryComposite materialMoleculeThermodynamicsPerylene

Abstract

fetched live from OpenAlex

A comprehensive simulation of the diimide hydrogenation process is carried out by taking into account the diimide generation reaction, the hydrogenation reaction, the side reaction between hydrogen peroxide and diimide, the disproportionation of diimide, and the diimide diffusion process. The relative magnitude of these rate constants with the diffusivity of diimide is estimated. It is found that the diimide diffusion interferes with the diimide hydrogenation of the latex of nitrile butadiene rubber (NBR), even though the particle diameter is as small as 72 nm. The interference of diimide diffusion makes it very difficult to achieve above 90% of hydrogenation without significant gel formation. Using core−shell latex with an NBR shell may help to solve the low hydrogenation efficiency and the gel formation at the same time.

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)0.000
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 score0.091
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.074
GPT teacher head0.300
Teacher spread0.226 · 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