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Record W1982939993 · doi:10.1080/07373930903523894

Modeling Shrinkage Response to Tensile Stresses in Wood Drying II. Stress–Shrinkage Correlation in Restrained Specimens

2010· article· en· W1982939993 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDrying Technology · 2010
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsCRB Innovations (Canada)FPInnovationsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShrinkageMaterials scienceComposite materialUltimate tensile strengthStress (linguistics)ViscoelasticityWater contentMoistureGeotechnical engineering

Abstract

fetched live from OpenAlex

This article reports on the effect of tensile stresses, temperature, and target moisture content on shrinkage behavior of short and thin Western hemlock specimens as part of a series of papers dealing with these issues. All tests were performed perpendicular to fiber grain while drying at 40, 60, and 80°C to 17, 11, and 5% final moisture contents at each temperature. Four matched specimens were subjected to different restraints during each drying experiment, namely, zero restraint (free shrinkage), two static restraints of 3 and 6 daN and a dynamic restraint controlled by the drying process. The resulting shrinkage was measured by pairs of resistive transducers located on the middle part of each specimen. Shrinkage percentages, obtained after the tensile stress was released and all the viscoelastic strain recovered, were proven to be a strong function of stress value, moisture, and temperature. The analytical fit yielded high coefficients of determination (R 2 = 0.83–0.85, p < 0.05) for both structural directions tangential and radial, respectively.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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