MétaCan
Menu
Back to cohort
Record W2366035543

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

2014· article· en· W2366035543 on OpenAlex
Xiangyang Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.013
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