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Record W2802040572 · doi:10.3139/217.3490

Effects of Mean Particle Size and Addition Weight Percentage of CaCO<sub>3</sub> on Selected Rheological Properties of Filled LDPE

2018· article· en· W2802040572 on OpenAlex
Ast Wong, Augustine Wong, C. K. M. Auyeung

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

VenueInternational Polymer Processing · 2018
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsYork University
Fundersnot available
KeywordsLow-density polyethyleneRheologyMaterials scienceParticle sizeComposite materialPolymerShear rateChemical engineering

Abstract

fetched live from OpenAlex

Abstract The present work reports the empirical findings of the effects of mean particle size and weight percentage of CaCO 3 on selected rheological characteristics of filled LDPE. The experimental results indicated that the two parameters studied had noticeable influence on the selected rheological properties of LDPE. Studies on the slip velocity and critical shear stress based on Mooney analysis revealed that the designed benefits brought by the incorporation of additives (such as CaCO 3 ) into a polymer (such as LDPE) may not be justified by their possible adverse effects. It is also shown in this report that melt index and apparent viscosity of the selected polymer systems were well correlated with mean particle size of CaCO 3 and its weight percentage.

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 score0.059
Threshold uncertainty score0.344

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 studies0.0000.000
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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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