MétaCan
Menu
Back to cohort
Record W2512291977 · doi:10.15376/biores.11.4.jin

Oriented strand board: Opportunities and potential products in China

2016· article· en· W2512291977 on OpenAlexafffund
Juwan Jin, Siguo Chen, R. W. Wellwood

Bibliographic record

VenueBioResources · 2016
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversity of AlbertaAlberta Innovates
FundersPriority Academic Program Development of Jiangsu Higher Education InstitutionsAlberta Innovates
KeywordsOriented strand boardEngineeringChinaDoorsProduct (mathematics)MillCivil engineeringMechanical engineeringGeography

Abstract

fetched live from OpenAlex

North America’s first oriented strand board (OSB) mill was built in the early 1980’s. Twenty years later, the industry was thriving, with over 50 mills producing the product. China’s first OSB mill was built in 1990, and 25 years later, there are a few mills with a total capacity less than two large North America mills, most operating below capacity and struggling to identify domestic markets for the growing production. This paper briefly looks at the histories of OSB industries in North America and China, presents the current situation of China’s wood-based panels industry and its downstream industries, and identifies OSB opportunities and potential products in China. Opportunity for sheathing-grade OSB is very limited in the current Chinese market, whereas industrial opportunities for specialty OSB products to replace plywood have great potential. Those specialty products include materials for furniture, wood doors, wood flooring, container flooring, concrete form, etc. OSB producers must designate the right OSB products for the Chinese market and cost-effectively manufacture those differentiated products to meet specifications for various end-applications.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.015
GPT teacher head0.194
Teacher spread0.179 · 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

Citations12
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueBioResourcesSame topicSustainable Industrial EcologyFrench-language works237,207