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Record W4412766133 · doi:10.54113/j.suem.2025.000002

Evaluation of the durability of the exterior siding products made with trembling aspen lumber in terms of colour change

2025· article· en· W4412766133 on OpenAlexfundaboutno aff
Mengyuan Zhang, Meng Gong, Ying Hei Chui

Bibliographic record

VenueSustainable Engineering Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsnot available
FundersAlberta InnovatesNew Brunswick Innovation FoundationUniversity of Alberta
KeywordsDurabilityEngineeringForensic engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Trembling aspen (Populus tremuloides) is a fast-growing and widely distributed species in Canada, but its uses in non-structural wood products are limited. This study was aimed at evaluating the feasibility of using aspen lumber for producing wood siding products and their durability in terms of colour change (ΔE). Both short-term natural exposure and artificial accelerated weathering tests were conducted on the aspen wood sidings produced and pressure-treated on a production line. The spruce-pine-fir (S-P-F) sidings were used as control. It was found that (1) both short-term natural and artificial accelerated weathering tests resulted in an increase in average ΔE of the siding specimens, exhibiting surface greying and darkening. (2) Finished trembling aspen siding specimens consistently exhibited greater colour stability than finished S-P-F ones. (3) Both finished trembling aspen and S-P-F siding specimens had smaller ΔE values than unfinished ones, suggesting the finishing employed in this study effectively protected surface colour.

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.

How this classification was reachedexpand

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)0.002
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 score0.165
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.223
Teacher spread0.211 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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