Electrokinetic thickening of mature fine oil sands tailings
Bibliographic record
Abstract
Mature fine oil sands tailings (MFT) are the fine parts of oil sands tailings that remain suspended in tailings disposal pond for decades because of the low sedimentation/consolidation rate. This study applies electrokinetics to thicken, that is, to increase the solid content, of the MFT suspension. The geotechnical properties of MFT solids and chemical analysis of tailings pore water are measured, followed by electrokinetic (EK) tests. The results of this study indicate that EK thickening is very effective for the settling of MFT suspensions under an applied voltage of 219 V/m, the final solid content of the sediment reached 18·75% from an initial 5% after 7 h. The EK treatment is also very effective in clarifying the supernatant. The final turbidity of the supernatant is 30·6 NTU under 219 V/m applied voltage gradient. Regression models are developed using statistical software MINITAB 15 in coded and uncoded units to relate the final solid content of the sediment with the initial solid content and applied voltage gradient. The models and the independent variables are statistically significant at 95% confidence level based on F test and t test results, respectively.
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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 | 0.000 |
| 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 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".