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Record W3092767395 · doi:10.1080/02773813.2020.1828474

Treatments of residual pine strands: characterization and wood-cement-compatibility

2020· article· en· W3092767395 on OpenAlexaff
Matheus Roberto Cabral, Erika Yukari Nakanishi, Mayara S. R. Franco, S.F. Santos, Juliano Fiorelli

Bibliographic record

VenueJournal of Wood Chemistry and Technology · 2020
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversité LavalNatural Sciences and Engineering Research Council of Canada
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsPortlanditeCementComposite materialHemicelluloseCelluloseCompatibility (geochemistry)LigninChemistryCarbonationCalcium carbonatePulp and paper industryMaterials sciencePortland cement

Abstract

fetched live from OpenAlex

This paper aims to evaluate treatments on pine strands as well as wood-cement compatibility. The strands were prepared and then were submitted to four treatments (untreated; cold water, hot water and NaOH). Physical, chemical, thermal and mechanical properties of the strands were measured. Wood-cement composites were produced with all strand treatments. To evaluate the strand effects on the cement hydration, axial compression tests were conducted at 28-day. The phases of the matrix of the composites at 24 h 7- and 28-day were also determinate. Fourier transform infrared spectra shows that, although the treatments partially removed the hemicellulose and extractives, they also reduced the cellulose and lignin bands. Axial compression results indicated that there were no differences between values for the composites with untreated and treated strands. For the phase analyses, in the initial ages (24 h and 7-day), it was identified that portlandite for cement sample (control) is higher than those containing the strands. At 28-day, it was found that among the strands, the untreated have the lower portlandite content and the higher calcium carbonate content. Indicating the cement carbonation over time as presented in the cement sample (control). Therefore, the untreated pine residual strand showed good compatibility with cement and for this study there were no benefits on treating the strands.

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 score0.020
Threshold uncertainty score0.315

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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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