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Record W4401175827 · doi:10.3390/buildings14082359

Advancements and Applications of Wood-Based Sandwich Panels in Modern Construction

2024· article· en· W4401175827 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

VenueBuildings · 2024
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSandwich-structured compositeEngineeringStructural engineeringConstruction engineeringMaterials scienceArchitectural engineeringForensic engineeringComposite materialComposite number

Abstract

fetched live from OpenAlex

Wood sandwich panels are widely utilized in residential, commercial, and industrial settings due to their excellent thermal insulation characteristics, ease of installation, and high strength-to-weight ratio. This review provides an overview on experimental outcomes demonstrating the structural integrity and versatility of wood sandwich panels. It highlights recent advancements in meeting payload requirements and their effectiveness in reducing costs and weights for prefabricated houses. The review focuses on structural applications and material efficiency, showcasing their roles in lightweight, durable constructions for retrofitting and new projects. The potential of novel, sustainable materials in construction is explored, addressing current challenges and emphasizing the diverse applications and environmental benefits of wood-based sandwich panels, underscoring their importance in advancing energy-efficient and sustainable construction.

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 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 score0.185
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.224
Teacher spread0.218 · 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