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Record W2073369088 · doi:10.1139/t01-092

The 2000 R.M. Hardy Lecture: Full-scale hydraulic performance of soilbentonite and compacted clay liners

2002· article· en· W2073369088 on OpenAlexvenueaboutno aff
Robert P. Chapuis

Bibliographic record

VenueCanadian Geotechnical Journal · 2002
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsBentoniteGeotechnical engineeringPermeability (electromagnetism)Leakage (economics)Hydraulic conductivityClay soilGeosynthetic clay linerFilter cakeGeologyEnvironmental scienceSoil waterSoil scienceEnvironmental engineeringChemistry

Abstract

fetched live from OpenAlex

The results of laboratory and in situ permeability tests can be used to predict the total leakage rate of a soil–bentonite or clay liner. This prediction, however, ignores the large influence that minor defects may have on the total leakage. In Quebec, hundreds of municipal wastewater ponds have been filled with water to measure their total leakage rate before approval. The design criteria and the equations to be used for the full-scale performance test are briefly reviewed with their capacities to detect hydraulic deficiencies. Several case histories are presented to illustrate various problems: excessive leakage of a stable soil–bentonite mix, washing of bentonite in a soil–bentonite mix, internal erosion of a natural clay liner through an inadequate sand filter, and effects of freezing on the total leakage of a clay liner.Key words: liner, clay, bentonite, permeability, performance, full-scale test

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.006
GPT teacher head0.168
Teacher spread0.162 · 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

Citations94
Published2002
Admission routes2
Has abstractyes

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