Performance evaluation of TBM clogging potential for plain and conditioning soil using a newly developed laboratory apparatus
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
Researchers have proposed different methods to assess the clogging potential of soil, which mainly include an analytical method and semi-empirical method. However, most of them do not consider several main dominating factors, including penetration speed and rotational velocity. Therefore, a new apparatus was developed that can simulate the drilling process with penetration speed, penetration depth and rotational speed under control. The authors sampled and tested two different clayed soils, and the results agreed with field observations. Therefore, the performances of different additives were also evaluated according to the results from the new apparatus. The clogging test results of plain and conditioned soils were also compared with the results from the empirical diagram and plasticity index, showing that the new apparatus has the ability to assess the degree of clogging and differentiate the performance of additives.
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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 | 0.001 | 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