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Record W2347337312

Influence of chemical action of water-soil on soil shear strength

2010· article· en· W2347337312 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCivil and Geotechnical Engineering Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCohesion (chemistry)Friction angleSoil waterGeotechnical engineeringInternal frictionConsistency (knowledge bases)Shear (geology)Soil scienceDirect shear testChemistryMaterials scienceGeologyMathematicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

Based on the ion effect and the porpose of improved roadbed soil, samplings of soil, ground water and clays were obtained to observe and analyze the effect. The analysis on mechanics of water-soil interaction was carried out to find factors of shear strength, including mechanics effect of water chemical, analysis test on water chemical, linear correlation regress and effect of loadbed soil improvment. The results show the weakened effect occurs on soil cohesion and inner friction angle with Ca2+, HCO3-, K+ and Na+ consistency. But dispersed inner friction angle character is marked with ion consistency. There are correlation among cohesion and testing index including total salinity, hardness, and K+, Na+, Ca2+ and HCO3- concentration. The effect on roadbed improvement is remarkable with clays when the consistency is close to 10%.

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 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 score0.200
Threshold uncertainty score0.227

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 head0.008
GPT teacher head0.233
Teacher spread0.225 · 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