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Record W2327103758 · doi:10.1515/hf-2014-0018

Surface modification of poplar veneer by means of radio frequency oxygen plasma (RF-OP) to improve interfacial adhesion with urea-formaldehyde resin

2014· article· en· W2327103758 on OpenAlexaff
Li‐Juan Tang, Rong Zhang, Xiangming Wang, Xuehui Yang, Xiaoyan Zhou

Bibliographic record

VenueHolzforschung · 2014
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsFPInnovations
Fundersnot available
KeywordsMaterials scienceComposite materialVeneerSurface roughnessRadio frequencyAdhesionUrea-formaldehydeSurface finishAdhesiveLayer (electronics)

Abstract

fetched live from OpenAlex

Abstract The radio frequency oxygen plasma (RF-OP) treatment of wood was in focus, namely the surface properties of poplar veneer has been analyzed as a function of RF-OP treatment power concerning the chemical composition, free radicals, morphology and roughness. In addition, the interfacial adhesion of plywood composites was measured by determining the shear strength. The results show that RF-OP treatment introduced free radicals and polar groups onto the veneer surface, changed the surface morphology, and increased the surface roughness. Shear strength of the composite was improved. It can be concluded that RF-OP treatment is most effective at the optimal treatment power of 200 W.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.758

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 head0.006
GPT teacher head0.196
Teacher spread0.189 · 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 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

Citations20
Published2014
Admission routes1
Has abstractyes

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