The Effect of Nanokaolinite on the Compressibility and Atterberg Limit of the Silty Loess Soil in Golestan Province
Bibliographic record
Abstract
The loess in Golestan Province can be divided into clayey, silty and sandy loess based on the geological engineering properties.The silty loess has great importance due to the extended surface and the several reported risks.Loess soil is one of the problematic soils in which some of the geotechnical properties should be modified or improved before conducting the projects.Loess is one of the soil types available in many countries and a great number of geotechnical risks were reported regarding them.The current study investigated the effect of adding nanokaolinite on the compressibility and the Atterberg limit of the silty loess soil of Golestan province through the field sampling and performing tests with the different percent of nanokaolinite.To prepare the nanokaolinite, the mechanical method of ball milling was employed.According to the grain size distribution tests, the soil sample is CL-ML type based on unified classification.Standard proctor test results showed that adding the nanokaolinite increased the maximum dry unit weight of the soil at first and then it was decreased.Moreover, adding nanokaolinite resulted in the significant increases of liquid and plastic limits while nanokaolinite amount more than 5% led to the decrease in plastic index.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".