Modeling the Effect of Flocculation and Desiccation on Oil Sands Tailings
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
Considerable research has been performed by oil sands mining companies to dewater and manage their fluid fine tailings (FFT) in an effort to meet regulatory and closure requirements. One potential dewatering process includes the addition of flocculants to the FFT and using thickeners to increase the solids content. Additional promising technologies are to surcharge the deposited thickened tailings (TT) or to further thicken the tailings by atmospheric drying. It was found that flocculating and thickening treatments increased the hydraulic conductivity of the fine tailings to some degree, but had no effect on the compressibility and shear strength. Atmospheric drying could enhance the shear strength, but the tailings had to be dried to an unsaturated state, which could be difficult to achieve in the field considering the climate in northern Alberta. Using the geotechnical properties of thickened and desiccated tailings, deposition scenarios for the management of the tailings were modeled. The influence of flocculation and thickening with or without atmospheric drying on a tailings deposit is discussed.
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 | 0.000 | 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 it