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Record W3044750478 · doi:10.1139/cjce-2020-0249

Variability in moisture sorption isotherms of plywood and oriented strand board with accelerated ageing

2020· article· en· W3044750478 on OpenAlexaffvenue
Russell Richman

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMoistureSorptionOriented strand boardAgeingDurabilityMaterials scienceComposite materialWater contentYield (engineering)Environmental scienceProcess engineeringGeotechnical engineeringAdsorptionEngineeringChemistry

Abstract

fetched live from OpenAlex

Simulation of heat and mass transfer in buildings can be a powerful tool in analyzing overall durability but is dependent on accurate input data. This study is a part of a larger study on the effects of moisture storage in a commercially available hygrothermal modelling software. Moisture storage has not been well measured historically due to time requirements and necessity, and the effects of moisture storage on modelling have not been studied extensively. This study measures sorption isotherms in plywood and oriented strand board (OSB) sheathing that has undergone accelerated ageing. Results have shown that ageing samples may not have a significant effect on sorption isotherms, however, this may be due to the accelerated ageing method. Common methods used in accelerated ageing of wood products were primarily designed for testing mechanical properties and were too destructive for measuring hygrothermal properties. Further refinement of the accelerated ageing methodology may yield improved data.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.551

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 head0.010
GPT teacher head0.169
Teacher spread0.159 · 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 designSimulation or modeling
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

Citations5
Published2020
Admission routes2
Has abstractyes

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