MétaCan
Menu
Back to cohort
Record W2809360405 · doi:10.1061/9780784481684.016

Upward Wetting Behavior of Unsaturated Xanthan Gum–Treated Sand

2018· article· en· W2809360405 on OpenAlexaff
Thi Phuong An Tran, Ilhan Chang, Jooyoung Im, Gye-Chun Cho

Bibliographic record

VenuePanAm Unsaturated Soils 2017 · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsKootenay Association for Science & Technology
FundersMinistry of Science, ICT and Future PlanningNational Research Foundation of KoreaMinistry of Land, Infrastructure and Transport
KeywordsWettingXanthan gumBiopolymerCapillary actionHydraulic conductivitySoil waterMaterials scienceAdsorptionSelf-healing hydrogelsGeotechnical engineeringComposite materialChemistrySoil sciencePolymerRheologyGeologyPolymer chemistry

Abstract

fetched live from OpenAlex

Biopolymer-soil treatment shows high potential to be used in various geotechnical engineering practices. Previous studies show appropriate performance of biopolymer on soil strength improvement and hydraulic instability reduction. In this study, the capillary conductivity of biopolymer-treated soils is investigated via laboratory testing. A mini column (3.5 cm diameter and 10 cm height) approach was used. Xanthan gum-treated soils were compacted into the columns and dried before wetting. The columns were then partially wetted from the bottom to induce upward wetting via hydrophilic adsorption and capillarity. Depending on soil types, effects of xanthan gum hydrogel concentration on capillary conductivity of soils was different. Direct water flow via capillary rise is restricted, while diffusion through hydrogels seems to become the dominant path in sand. Meanwhile, xanthan gum concentration could decide an increase or decrease in capillary conductivity within clayey soil.

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 score0.156
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.030
GPT teacher head0.264
Teacher spread0.234 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePanAm Unsaturated Soils 2017Same topicPolysaccharides Composition and ApplicationsFrench-language works237,207