Interpreting <i>c</i> <sub>hp</sub> Value from Non-Standard Piezocone Dissipation Curves
Bibliographic record
Abstract
Two existing methods for estimating in-situ coefficient of consolidation in the horizontal direction (chp) from "non-standard" piezocone dissipation curves (initial u increased for a short period and then dissipated) are applied to the test results in 11 sites in Japan, China, USA, UK, Italy and Canada. One method is correcting t50, the time period of measured pore water pressure (u2) dissipated from its maximum value to 50% of the maximum value (t50c method), and another is extrapolating √t (t is elapsed time) ∼u2 curve (√t method). The analysis results show that, for most cases, t50c method results in higher chp value than that of √t method. It is reasoned that chp value from t50c method is closer to the field "true" value. Comparing chp values from t50c method with the corresponding laboratory measured coefficient of consolidation in the vertical direction (cv) indicates that for most data chp/cv ratios are varied from about 3 to about 100. The data from six (6) sites in Jiangsu, China showed higher chp/cv ratio which implies that the sites may have higher anisotropic consolidation properties.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".