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Record W2006146118 · doi:10.1002/pen.20008

Investigation of fundamental data for nitrile butadiene rubber in monochlorobenzene and o‐dichlorobenzene

2004· article· en· W2006146118 on OpenAlexafffund
Qinmin Pan, Garry L. Rempel

Bibliographic record

VenuePolymer Engineering and Science · 2004
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsUniversity of Waterloo
FundersBayer Canada
KeywordsNitrileNitrile rubberRheologyMaterials scienceNatural rubberViscosityNewtonian fluidComposite materialPolymerThermodynamicsPolymer chemistryPolymer scienceOrganic chemistryChemistryPhysics

Abstract

fetched live from OpenAlex

Abstract Fundamental data, including density and rheological behavior, of nitrile butadiene rubber in solutions of monochlorobenzene and o‐dichlorobenzene were investigated, under a wide range of experimental conditions, including operation temperatures and polymer concentrations up to 165°C and 20% (wt), respectively. Shear rates of up to 1300/s were used for the measurement of rheological behavior. Within the range of the operational conditions employed, the solutions of nitrile butadiene rubber show Newtonian fluid behavior. A characteristic viscosity is proposed as a model parameter to correlate the viscosity of the NBR solutions. As a result, empirical correlation equations for density and viscosity are formed. The purpose of this work is to provide fundamental data for process development of the solution hydrogenation of nitrile butadiene rubber.

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 score0.003
Threshold uncertainty score0.006

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 head0.028
GPT teacher head0.233
Teacher spread0.205 · 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

Citations6
Published2004
Admission routes2
Has abstractyes

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