Identification of Key Geotechnical Parameters in Expansive Clay Soils: A Preliminary Approach
Bibliographic record
Abstract
This study assessed the key factors influencing the applicability of prediction methods and the development of regional models for expansive clayey soils in Marcavelica and Paita Baja, Piura.Through sample characterisation tests and correlation analysis, the study focused on understanding how soil properties relate to expansion parameters.Both areas are dominated by montmorillonite clay, which exhibits medium to high expansion potential.In Marcavelica, the plasticity index, liquid limit, and dry unit weight were identified as the most influential factors affecting the expansion percentage and expansion pressure.In Paita Baja, the shrinkage limit, fines content, and activity significantly influenced the expansion percentage, while expansion pressure was correlated with unit weight and void ratio.The findings emphasise the importance of a preliminary evaluation of local factors before applying prediction models, as the influence of parameters can vary even with the same mineralogical composition of clay, which is otherwise expected to exhibit similar behaviour.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".