MétaCan
Menu
Back to cohort
Record W2107522820 · doi:10.1002/pen.20622

Effect of organoclay content on the rheology, morphology, and physical properties of polyolefin elastomers and their blends with polypropylene

2006· article· en· W2107522820 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.

Bibliographic record

VenuePolymer Engineering and Science · 2006
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsQueen's University
Fundersnot available
KeywordsOrganoclayMaterials sciencePolyolefinElastomerPolypropyleneThermoplastic elastomerComposite materialNanocompositeEthylene propylene rubberRheologyVulcanizationMontmorillonitePolymer blendPolymerNatural rubberThermal stabilityCopolymerChemical engineering

Abstract

fetched live from OpenAlex

Abstract The effect of onium‐ion exchanged montmorillonite clay (organoclay) on the rheology and physical properties of maleated ethylene–octene copolymer and ethylene–propylene rubber elastomers has been examined. The formation of a nanocomposite hybrid, containing substantial amounts of exfoliated clay, was accompanied by significant increases in the complex viscosity, elastic and loss moduli, and a narrowing of the region of linear viscoelasticity, attributed to both filler/polymer and filler/filler interactions. The properties of blends of these elastomers with polypropylene were dominated by the reinforced elastomeric matrix, into which the organoclay resided preferentially. The nanocomposite blends exhibited very fine morphologies, as well as a good balance of stiffness and ductility and enhanced thermal stability. POLYM. ENG. SCI., 46:1491–1501, 2006. © 2006 Society of Plastics Engineers

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.669

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 studies0.0000.002
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 head0.008
GPT teacher head0.181
Teacher spread0.174 · 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