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Record W4408989277 · doi:10.18280/acsm.490107

Assessment of Shear Strength Characteristic for Unsaturated Kaolin Clay in Qaime, Iraq

2025· article· en· W4408989277 on OpenAlexvenueno aff
Salem M.A. AL-Ani, Ahmed A. Enad, Saad Jabir Hafi, Saif Saad Mansoor

Bibliographic record

VenueAnnales de Chimie Science des Matériaux · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeotechnical engineeringShear strength (soil)GeologyShear (geology)Direct shear testMaterials scienceComposite materialSoil scienceSoil water

Abstract

fetched live from OpenAlex

In fact, the unsaturated soil test is not common in soil mechanics labs, and the unsaturated soils are feature higher strength and stiffness than saturated soil.The study focuses on the preparation of samples (kaolin from Qaime city), it uses the static compaction (one dimension) to keep on the samples initial water content, specific volume and degree of saturated constant.During the wet state, all samples appeared to have increasing water content, specific volume and degree of saturated by log time, and matric suction value was constant, during the equalization state this value was constant after about 40 hr., isotropic load was constant value (600) kPa and applied on a sample in each direction, during shearing loading for all case, the matric suction was constant value S (30, 60 and 90) kPa during testing.In this paper, the results of wetting stages showed the deviatoric stress increases with the increase in matric suction value.The axial and volumetric strain recorded the low value at S90 kPa because of the increasing matric suction value.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.017
GPT teacher head0.290
Teacher spread0.273 · 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".

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Citations0
Published2025
Admission routes1
Has abstractno

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