Scalp-and-replacement of oversize particles on internal stability erosion assessment
Bibliographic record
Abstract
Internal stability (IS) erosion tests were conducted on broadly graded materials to better understand the effect of the scalped-and-replaced method of removing oversize particles on IS erosion testing. Four gradations (three internally unstable and one internally stable), and their scalped-and-scalped gradations were evaluated under upward flow in three large rigid-wall permeameters (300, 500, and 1000 mm in diameter). The limited test results suggest that scalp-and-replacement of oversize particles coarser than 4 × d30 has no significant effect on IS assessment of the original gradation. The permeameter-to-particle diameter ratio (D/dmax) in the tests varied from 5 to 13. The limited test results suggest D/dmax ≥ 6·5 is acceptable for IS erosion tests in a rigid-wall permeameter if proper measures are taken to minimise preferential erosion along the permeameter wall.
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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 | 0.001 |
| 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) | 0.002 | 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".