MétaCan
Menu
Back to cohort
Record W1993169652 · doi:10.1680/gein.2008.15.5.369

Electrokinetic improvement of soft clay using electrical vertical drains

2008· article· en· W1993169652 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeosynthetics International · 2008
Typearticle
Languageen
FieldEngineering
TopicElectrokinetic Soil Remediation Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsElectrokinetic phenomenaGeotechnical engineeringElectro-osmosisSoil waterGeosyntheticsAtterberg limitsSuctionShear strength (soil)Soil testEnvironmental scienceGeologySoil scienceMaterials scienceWater contentEngineeringChemistryElectrophoresis

Abstract

fetched live from OpenAlex

The performance of electrical vertical drains (EVDs) is investigated using laboratory tests and a field test. The electrokinetic treatment generates an increase in the soil undrained shear strength of a natural clay soil from London, Ontario, from 3 kPa to over 100 kPa in the laboratory. The soil undrained shear strength in a field test conducted in marine clay increases from between 5 kPa and 13 kPa to between 22 kPa and 39 kPa on average after only five days of electrokinetic treatment using EVDs. It is observed in laboratory and field tests that the water flow generated by electro-osmosis stops shortly after the application of the electric current. The significant shear strength gains of soils observed in the laboratory and field tests are attributed to the reduction of soil water content and increases in Atterberg limits which result from electrochemical reactions.

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 score0.267
Threshold uncertainty score0.710

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 head0.012
GPT teacher head0.235
Teacher spread0.222 · 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