Effect of <i>Oligochaete</i> worms on the permeability of fluid fine tailings and thickened tailings under operational parameters: consequences for dewatering and strengthening
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
Oligochaete worms enhance dewatering of mature fine tailings. In this context, the research team has investigated the beneficial effects of Oligochaete worms in dewatering and strengthening of fresh samples of fluid fine tailings (FFTs) and thickened tailings (TTs), including cold temperatures. Applying Oligochaete worms to FFT and TT resulted in enhanced permeability leading to faster solid content ( S c ) increases that are twice as large as in controls, up to final S c of 37% for FFT and 61% for TT, and shear strengths that are twice as large in their absolute value as in controls too.
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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 | 0.000 |
| 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