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Record W2008778100 · doi:10.1520/gtj100954

A Column Apparatus for Investigation of 1-D Unsaturated-Saturated Response of Sand-Geotextile Systems

2007· article· en· W2008778100 on OpenAlexaff
Richard J. Bathurst, Alvin F. Ho, Greg Siemens

Bibliographic record

VenueGeotechnical Testing Journal · 2007
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsGeotextileHydraulic conductivityGeotechnical engineeringPondingInfiltrometerWettingInfiltration (HVAC)Permeability (electromagnetism)Pore water pressurePermeameterGeologyHydraulic headWater flowMaterials scienceComposite materialSoil scienceSoil water

Abstract

fetched live from OpenAlex

Abstract This paper is focused on the details of an experimental device that was used to investigate the transient unsaturated-saturated hydraulic response of sand-geotextile layers under conditions of 1-D constant head surface infiltration. The column was instrumented with inexpensive tensiometer-transducer devices to measure pore water pressures and conductivity probes to measure wetting front migration. The results of two tests are presented to demonstrate the use of the apparatus. One test was carried out using a sand column and the second test was nominally identical but included a horizontal woven geotextile layer at about mid-depth. The test results demonstrate that the apparatus can detect differences in the unsaturated response of the two systems. For example, transient ponding of water was measured above the surface of the geotextile layer commencing from an initial unsaturated condition despite the relatively high saturated permeability of the woven material. In addition, there was a small but detectable delay in the hydraulic flow after the wetting front reached the geotextile layer.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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)0.0030.000

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 head0.030
GPT teacher head0.248
Teacher spread0.219 · 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

Citations44
Published2007
Admission routes1
Has abstractyes

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