MétaCan
Menu
Back to cohort
Record W4220781417 · doi:10.5772/intechopen.102034

Veneer-Based Engineered Wood Products in Construction

2022· book-chapter· en· W4220781417 on OpenAlexafffund
Elena Vladimirova, Meng Gong

Bibliographic record

VenueIntechOpen eBooks · 2022
Typebook-chapter
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaNew Brunswick Innovation Foundation
KeywordsVeneerLaminated veneer lumberAdhesiveComposite materialMaterials scienceStructural engineeringEngineeringLayer (electronics)

Abstract

fetched live from OpenAlex

Veneer-based engineered wood products (EWPs) are widely used in construction. Veneer-based EWPs are made of thin veneer sheets or veneer strands with adhesives, mainly including plywood, laminated veneer lumber (LVL), and parallel strand lumber (PSL). This chapter first discusses veneer-based EWPs in terms of their manufacturing, properties, and applications. Secondly, it introduces how veneer sheets or veneer strands intersect with each other in these products, providing additional strength and stable dimensions. Thirdly, this chapter overviews the effects of element dimensions, basic structure, veneer grade, adhesive type, and processing parameters on the properties of these products. Finally, it illustrates the uses of veneer-based EWPs through examples with a focus on their construction applications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.009

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 head0.019
GPT teacher head0.184
Teacher spread0.165 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueIntechOpen eBooksSame topicWood Treatment and PropertiesFrench-language works237,207