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Record W1517662849

Use of mountain pine beetle killed wood to produce cement-bonded particleboard.

2009· article· en· W1517662849 on OpenAlexafffund
Feng‐Cheng Chang, Frank Lam

Bibliographic record

VenueWood and Fiber Science (Society of Wood Science and Technology) · 2009
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsPinus contortaDendroctonusMountain pine beetleCementPulp and paper industryMaterials scienceComposite materialPinus <genus>Environmental scienceBotanyBark beetleEngineeringEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

This study investigated the properties of cement-bonded particleboards made with mountain pine beetle (MPB) (Dendroctonus ponderosae Hopkins)-infected wood.Four different types of lodgepole pine (Pinus contorta var.latifolia Engelm.)particles, from two different log sizes and two different years since tree death (3 and 5 yr), were considered in this study.Different formulations consisting of two cement types, two additives, various wood/cement/water ratios, and a range of additive conditions were studied.Mechanical and physical tests were conducted to examine the properties of the specimens.The results showed that wood particles from small logs (diameter < 28 cm) of 3 yr since tree death with either type of cement and calcium chloride or magnesium chloride as the additive are the best formulations.Other formulations also showed comparable mechanical and physical properties to published results of cement-bonded products.Based on the testing results, MPB woods may be used for the manufacture of the value-added wood-cement 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 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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.016
GPT teacher head0.221
Teacher spread0.205 · 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 designBench or experimental
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
Published2009
Admission routes2
Has abstractyes

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