MétaCan
Menu
Back to cohort
Record W2312559181 · doi:10.13073/0015-7473-62.7/8.566

Twenty-Year Performance of Decking with Two Levels of Preservative Penetration

2012· article· en· W2312559181 on OpenAlexaffabout
Paul Morris, Janet Ingram

Bibliographic record

VenueForest Products Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsFPInnovations
Fundersnot available
KeywordsPreservativePenetration (warfare)Composite materialPulp and paper industryMaterials scienceForensic engineeringEngineeringChemistryFood science

Abstract

fetched live from OpenAlex

ABSTRACT In 1991 a field test was established at two locations in Canada to assess the longevity of deck boards that were either untreated or pressure treated with two levels of preservative penetration. These penetration levels were (1) single incised with 80 percent ≥ 5 mm and (2) unincised. Minidecks were prepared from each species/treatment variable and visually inspected for decay after 5, 9, 15, and 20 years of exposure. After 9 years the treated boards were virtually free of fungal attack, regardless of the preservative penetration, while decay of the untreated boards was moderate to severe. After 15 years there was still almost no decay in the treated boards, while decay in untreated boards had progressed significantly. At the 20-year inspection all untreated decks, with the exception of western red cedar (Thuja plicata), would have had to be replaced due to decay of multiple boards, while all chromated copper arsenate–treated decks remained serviceable regardless of preservative penetration. Based on published work showing how shell treatments with copper-containing preservatives protect decking even with checks penetrating the treated zone, these data are expected to be also relevant to newer preservatives with low levels of mobile copper.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.222
Teacher spread0.192 · 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 designObservational
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
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueForest Products JournalSame topicWood Treatment and PropertiesFrench-language works237,207