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Record W2021654788 · doi:10.1520/gtj12341

An Improved Oedometer Apparatus to Measure Lateral Stress During Testing

2006· article· en· W2021654788 on OpenAlexaff
LF Gareau, F. Molenkamp, J.S. Sharma

Bibliographic record

VenueGeotechnical Testing Journal · 2006
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsOedometer testGeotechnical engineeringAnisotropyIsotropyGeologyStress (linguistics)Overburden pressureSoil testCore (optical fiber)Stress pathSoil waterMaterials scienceComposite materialPetrologySoil scienceShear (geology)

Abstract

fetched live from OpenAlex

Abstract Soils which have been subjected to complex geological stress histories (such as glaciation) exhibit incongruent geotechnical properties when tested in the oedometer. A new oedometer apparatus has been developed to permit measurement of anisotropic horizontal stress reactions during vertical loading. The objective of the apparatus is to assess how different geological stresses relate to present state properties. The apparatus has been tested using laboratory prepared samples of kaolin and thin tube core samples of Pot Clay from the north Netherlands. These results indicate that the new apparatus can measure isotropic and anisotropic lateral stresses with reasonable repeatability. Also, the orientation of maximum and minimum horizontal stresses can be calculated if oriented core samples are used. Results from the Pot Clay indicate anisotropic horizontal stresses which are related to the known glacial stress history.

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)0.001
metaresearch head score (Gemma)0.003
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: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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
GenreMethods

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

Citations8
Published2006
Admission routes1
Has abstractyes

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