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Record W1599081871 · doi:10.1002/mren.201300134

Radiation Induced Long Chain Branching in High‐Density Polyethylene through a Reactive Extrusion Process

2013· article· en· W1599081871 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

VenueMacromolecular Reaction Engineering · 2013
Typearticle
Languageen
FieldMaterials Science
TopicPolymer crystallization and properties
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBranching (polymer chemistry)Reactive extrusionHigh-density polyethyleneDispersityPhotoinitiatorMaterials scienceExtrusionRheologyPolyethyleneViscoelasticityPolymerPlastics extrusionComposite materialPolymer chemistryShear thinningViscosityChemical engineering

Abstract

fetched live from OpenAlex

A reactive extrusion process is developed for the modification of the rheological properties of a high density polyethylene (HDPE) by inducing long chain branching (LCB) using a photoinitiator and ultraviolet (UV) light. A central composite response surface design is selected to design the experimental runs at different photoinitiator concentrations, polymer flow rates, and extruder screw speeds. The selected processing factors at the specified levels produce negligible amounts of gel as indicated by extraction experiments. Linear viscoelastic properties at low frequencies indicate the presence of long chain branches. Both zero shear viscosity and relaxation time of the modified samples are enhanced with the branching. According to further molecular characterization, the molecular weight averages are slightly increased, however, the polydispersity index (PDI) of the modified samples remains the same.

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 score0.037
Threshold uncertainty score0.803

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 communication0.0000.001
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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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