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Record W2500986301 · doi:10.1021/bk-2014-1158.ch007

Wood Deterioration: Ground Contact Hazards

2014· book-chapter· en· W2500986301 on OpenAlexaff
R. Wakeling, Paul Morris

Bibliographic record

VenueACS symposium series · 2014
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsFPInnovations
Fundersnot available
KeywordsDurabilityPreservativeEnvironmental scienceService lifeHazardWaste managementPulp and paper industryForensic engineeringEngineeringEcologyMaterials scienceChemistryComposite materialBiology

Abstract

fetched live from OpenAlex

Ground contact poses one of the highest decay hazards that is nonetheless highly variable and not always straightforward to predict. The decay hazard is severe because soil retains damaging moisture for long periods of time, harbours an aggressive preservative depletion hazard and contains a plethora of wood decay microorganisms of a somewhat unpredictable make-up. Relatively few wood products can provide aquate durability in this aggressive environment. Whilst adequate service life for correctly selected preservative-treated wood products is readily achievable, factors other than durability, such as environmental and perceived health profile, increasingly challenge its delivery. This chapter discusses the impact on wood in ground contact of soil-inhabiting wood-rotting basidiomycetes, soft rot fungi, wood degrading bacteria and preservative/extractive detoxifying organisms. It also provides an overview of the ecology of wood decay and other factors that affect product service life in ground contact. It concludes by discussing test methods used to predict the durability of wood in soil and some performance data on treated wood products.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.962
Threshold uncertainty score0.721

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.195
Teacher spread0.182 · 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 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

Citations6
Published2014
Admission routes1
Has abstractyes

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