The Estimation of One-Dimensional Collapse for Highly Gypseous Soils
Bibliographic record
Abstract
The presence of gypsum in soils has a notable impact on their engineering properties.Since the gypsum dissolved due to water percolation, their properties may change over time.Collapsibility is considered the most significant parameter ruling the characteristics of highly gypseous soils for several decades; standards have tried to find the best formula for expressing the amount of strain in collapsing soils.Starting from the single and double odometer test, coming to the one-dimensional collapse.In this research 21, highly gypseous soil samples were prepared and tested according to three different standards.For different densities, the results indicate that collapse potential values obtained from the single oedometer method are quite similar to those using the double oedometer test under different conditions.Furthermore, the collapse strain estimated by the onedimensional collapse test gives different values due to the variety of applied pressure at wetting under different conditions.Also, the amount of gypsum dissolved during the tests indicates that the expression of the quantum of collapsibility of gypseous soils (strain) is more satisfactory than the qualitative declaration adopted by the version of the old method.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".