Laboratory Study of Freeze-Thaw Dewatering of Albian Mature Fine Tailings (MFT)
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
Tailing ponds in Northern Alberta has covered an area of 170 km2. Directive 074 issued in 2009 set stringent criteria for tailings reclamation. Freeze-thaw dewatering is one of the most promising approaches for dewatering MFT as one cycle of freeze-thaw can release up to 50% pore water. In this research, freezing tests were conducted with different temperature boundaries. A lower freezing rate induced higher solids content and higher undrained shear strength. In addition, finite strain consolidation tests were performed on both as-received and frozen/thawed MFT. Freeze-thaw decreased the compressibility to about half that of as-received MFT and increased the permeability to 6 times that of as-received MFT with the same void ratio. Both compressibility and permeability curves converged at higher effective stress (σ’=100 kPa). The coefficient of consolidation of frozen/thawed MFT was larger at lower effective stress and smaller at higher effective stress, comparing with that of as-received MFT. These results can be used to predict the field behaviors of Albian MFT and optimize the application of freeze-thaw dewatering.
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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 | 0.000 | 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 | 0.001 |
| 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