Evaluation of penetration tests and their correlations in gravelly soils
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
All penetration tests are useful for site exploration and soil property characterization, but most have limited applicability in gravelly soils. In these soils, the following dynamic tests dominate: Standard Penetration Test (SPT), Large Penetration Test (LPT), and Becker Penetration Test (BPT). Although the SPT is most appropriate in sandy soils, it still is used in gravelly soils. To overcome this limitation, several large-scale penetration tests have been developed in the USA, Canada, Japan, and Italy, and they are categorized by configuration of the testing equipment into LPT and BPT. This paper surveys these tests and their basic procedures. Then correlations linking the SPT to the LPT and BPT are explored, resulting in design recommendations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it