MétaCan
Menu
Back to cohort
Record W4413036109 · doi:10.1061/jcrgei.creng-961

Internal Pore-Water Pressure Measurements in Partially Frozen Sand

2025· article· en· W4413036109 on OpenAlexaff
Yawu Liang, Nicholas Beier, David C. Sego

Bibliographic record

VenueJournal of Cold Regions Engineering · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeologyPore water pressureGeotechnical engineeringWater pressureHydrology (agriculture)MineralogyGeomorphology

Abstract

fetched live from OpenAlex

A continuous internal water phase is a prerequisite for measuring pore-water pressure (PWP) within partially frozen soil to establish the internal effective stress. A new triaxial apparatus and test method is presented to examine continuity in the water phase and measure the internal PWP in partially frozen soil. A series of consolidated, undrained tests with Skempton’s B values determined following consolidation and then measurements of internal PWP were conducted for both dense and loose saline sand at temperatures of 23°C, −3°C, and −5°C. This unique set of measurements established continuity in the internal water phase in the sample of these partially frozen soils in comparison with the thawed samples. Continuity was confirmed using measurements between the internal filter-less rigid piezometers and the base PWP transducer. Hence, the base transducer measured PWP was validated to be representative of the whole sample. Pore ice was found to have minimal impact on B value for a sample with the continuous water phase. During shear, a continuous decrease in PWP was observed in partially frozen, loose samples, suggesting that dilatancy occurred due to the pore ice surrounding the sand particles and partially occupying the pore spaces.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.230
Teacher spread0.200 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Cold Regions EngineeringSame topicClimate change and permafrostFrench-language works237,207