New Slurry Displacement Method for Reconstitution of Highly Gap-Graded Specimens for Laboratory Element Testing
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A new “slurry displacement” method was developed for reconstitution of cylindrical specimens of highly gap-graded soils for laboratory element testing. The method stems from a need to conduct laboratory element tests on mixtures of waste rock and tailings with specific relevance to the development of new technology and material science for mining industry. The slurry displacement method allows preparing uniform/homogeneous specimens of highly gap-graded materials in a saturated condition, thus overcoming the difficulties in the use of currently available specimen preparation techniques. The suitability of the technique to replicate specimens is demonstrated by the repeatable test results obtained from shear testing of identical specimens prepared using the method.
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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 | 0.002 |
| 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