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Record W56922252 · doi:10.1177/096739110601400301

Composite from Wood Fibres Bonded with Renewable Wood Resin

2006· article· en· W56922252 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

VenuePolymers and Polymer Composites · 2006
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComposite materialMaterials scienceUrea-formaldehydeEngineered woodComposite numberEnvironmentally friendlyCuring (chemistry)FormaldehydeFiberboardSynthetic resinAdhesiveChemistry

Abstract

fetched live from OpenAlex

This paper shows the efficiency of a renewable wood resin as a binder for wood fibres in the manufacture of environmentally friendly fibreboard composites. The wood resin was nevertheless partially replaced by urea formaldehyde (UF) resin to make fibreboards more economical and performance-driven. The results demonstrate that nearly all the mechanical properties of the fibreboards were above the minimum requirements specified in the ANSI-AHA standard. The mechanical properties of wood resin bonded fibreboard were inferior to those of the UF resin bonded equivalents. The horizontal density profiles of the composites revealed that the wood resin distribution in the wood fibres could be optimised in presence of liquid UF resin. Wood resin bonded fibreboard showed a lower rate of formaldehyde emission than UF resin bonded fibreboard. The curing conditions were also optimised to achieve improved mechanical performance and dimensional stability for the composite fibreboards.

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 score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.200
Teacher spread0.194 · 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