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Record W2366035543

Comparative Study of Environmental Effect of Soft Clay Subgrade under Different Treatment Measure

2014· article· en· W2366035543 on OpenAlexaff
Xiangyang Li

Bibliographic record

VenueJiangsu Construction · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Changes in China
Canadian institutionsLa Cité Collégiale
Fundersnot available
KeywordsSubgradeGeotechnical engineeringPileBulk densityCompressibilityEnvironmental sciencePermeability (electromagnetism)Water contentGeologySoil scienceMoistureSoil waterMaterials scienceEngineeringComposite material
DOInot available

Abstract

fetched live from OpenAlex

To study environmental effect of soft clay under different treatment measure at wetland area, the variation with time and depth at subgrade surrounding soft soil are analyzed by the test of density、moisture、compressibility and permeability coefficient before and after five years subgrade; And proposed a subgrade treatment to suite wetland area. The results indicate that the density decrease as the depth increase. Density below 1m is not changing at different section and different time. Moisture sharp decrease as the depth increase at sand pile section subgrade surrounding soft soil; And permeability coefficient has increased quickly.Compressibility decreased to1/2 of original soil layer. This characteristic indicates that sand pile will change the pipelining path at wetland area and change the surrounding environment. Therefore, using sand pile subgrade treatment should be cautious at wetland area from the perspective of protecting wetland environment.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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