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Record W2154564637 · doi:10.1177/0892705706067486

Injection Molding of Postconsumer Wood–Plastic Composites II: Mechanical Properties

2006· article· en· W2154564637 on OpenAlex
Ryan Gosselin, Denis Rodrigue, Bernard Riedl

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

VenueJournal of Thermoplastic Composite Materials · 2006
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMaterials scienceComposite materialPolypropyleneMaleic anhydrideHigh-density polyethyleneBlowing agentMoldMolding (decorative)Compression moldingCopolymerPolyethylenePolymer

Abstract

fetched live from OpenAlex

ABSTRACT: In the first part of this study, fiber-reinforced microcellular foams were produced via injection molding to study their morphological properties as a function of mold temperature as well as wood, blowing agent, and coupling agent concentrations. Yellow birch wood fibers are added to a recycled postconsumer HDPE/PP matrix (85: 15 ratio) in proportions ranging from 0 to 40 wt% and then foamed with a chemical blowing agent. Maleic-anhydride-polypropylene copolymer (MAPP) is also used as a coupling agent in proportions ranging from 0 to 10 wt% of wood content. In this second part, the mechanical properties in flexion, torsion, and traction are presented.

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)0.001
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 score0.003
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.011
GPT teacher head0.208
Teacher spread0.198 · 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