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
Tailings, produced when rock is crushed to recover metals, are normally discharged as slurry of predominantly silt-sized particles into storage areas that are created using dams. These dams have a poor safety record with billions of dollars in damages over the past decade alone, making reliable engineering of silt an important economic and safety issue for the mining industry. Equally, engineering of silts is challenging, as understanding of soil behaviour relates mostly to ‘sands’ or ‘clays’. Undisturbed silt samples suffer substantial densification between sampling, transfer to element test and reinstatement of in situ stresses. Hence, silts require a sand-like approach that combines laboratory tests on reconstituted samples with in situ cone penetration test (CPT) soundings. This paper presents calibrated spherical cavity expansion in a general critical-state soil model to simulate the CPT in silt. The developed methodology is numerical, accurately captures calibration data and allows determination of the in situ state parameter in silts from CPT data. A validation is presented for a large tailing impoundment using stacked thickened tailings. Open-source software implementing the methodology is provided on the journal website as supplementary material.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it