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Record W2124706757 · doi:10.1139/cgj-2014-0129

Compressibility of deep clay in East China subjected to a wide range of consolidation stresses

2014· article· en· W2124706757 on OpenAlexvenueno aff
Xiulin Shang, Guangzhao Zhou, Lianfei Kuang, Wei Cai

Bibliographic record

VenueCanadian Geotechnical Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
FundersNanjing UniversityMinistère de l'Enseignement supérieur, de la Recherche et de l'Innovation
KeywordsConsolidation (business)Oedometer testVoid ratioCompressibilityGeotechnical engineeringBinPermeability (electromagnetism)Water contentGeologyPore water pressureMaterials scienceMontmorilloniteMineralogyComposite materialSoil waterMechanicsSoil scienceChemistryMathematicsMembranePhysics

Abstract

fetched live from OpenAlex

The oedometer tests of remoulded deep clay in East China subjected to consolidation stresses ranging from 0.2 to 15.0 MPa were carried out. Both the measured compression curves and the curves of logarithmic permeability versus void ratio consist of two linear segments, among which the bilinear shape of the compression curves is less noticeable. The consolidation stress and void ratio at the intersection of two lines are around 2 MPa and 0.565 ± 0.015, respectively, and the corresponding saturated water content is very close to the reported saturated adsorbed water content. Lastly, but most importantly, the calculated microscopic pore size corresponding to the intersection point agrees well with the transitional range of the distance between two clay surfaces within which water molecules transform from bulk-liquid-like water into confined water. This is confirmed by experimental results available in the literature.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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 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

Citations15
Published2014
Admission routes1
Has abstractyes

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