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Record W3195206152 · doi:10.1002/mawe.202000227

Effects of freezing and steam treatments on the permeability of Populus tomentosa

2021· article· en· W3195206152 on OpenAlexaff
Wei Xu, P. Chen, Yuan Yang, Xiaodong Wang, Xiaochen Liu

Bibliographic record

VenueMaterialwissenschaft und Werkstofftechnik · 2021
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPermeability (electromagnetism)Water contentMoistureSuperheated steamMaterials scienceChemistryPulp and paper industryHorticultureBotanyChemical engineeringComposite materialWaste managementBiologyEngineeringBoiler (water heating)Biochemistry

Abstract

fetched live from OpenAlex

Abstract In order to improve the material properties of Populus tomentosa, and increase its utilization rate for furniture products. Two modification methods, including freezing and steam treatments were adopted in this work, and special attention was given to the permeability of Populus tomentosa with respects of processing time, temperature and moisture content. According to the experimental results, the optimum modification parameters for Populus tomentosa with freezing treatment are processing temperature of ‐20 °C, time of 2 hours and saturated moisture content; while the optimal modification parameters with steam treatment are as follows: processing temperature of 120 °C, time of 2 hours and saturated moisture content. Based on comparing the weight gain rate at different processing condition, steam treatment has greater influence on the permeability than that of freezing treatment. In general, steam treatment was proposed to be used in the property modification of Populus tomentosa in terms of greater permeability.

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 score0.003
Threshold uncertainty score0.578

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 head0.007
GPT teacher head0.201
Teacher spread0.194 · 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

Citations28
Published2021
Admission routes1
Has abstractyes

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