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Record W2348324247

Electrically Conductive Properties of Ultra-high Molecular Weight Polyethylene/Graphene Nanoplatelets Composites

2013· article· en· W2348324247 on OpenAlex
Yang Jianfen

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

VenueChina Plastics · 2013
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsScience North
Fundersnot available
KeywordsMaterials scienceComposite materialUltra-high-molecular-weight polyethylenePercolation thresholdPolyethyleneExfoliated graphite nano-plateletsGrapheneElectrical conductorDispersion (optics)Percolation (cognitive psychology)Electrically conductiveThermalGraphiteElectrical resistivity and conductivityNanotechnology
DOInot available

Abstract

fetched live from OpenAlex

Ultra-high molecular weight polyethylene(PE-UHMW)/graphene nanoplatelets(GNPs) composites were prepared through solution blending and ultrasonic dispersion,and their electrical properties were investigated.SEM showed that GNPs were well distributed in PE-UHMW,and the composites had a typical percolation behavior with a threshold of 2.8wt%.With increasing GNPs contents,positive temperature coefficient(PTC)intensity of the composites gradually decreased.Thermal cycles decreased PTC intensity.

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 categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.191
Teacher spread0.185 · 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