Commissioning and Operation Experience with a 400 tph Paste Backfill System at Kidd Creek Mine
Bibliographic record
Abstract
A paper was presented at the ACG 2004 Paste and Thickened Tailings confer- ence in South Africa that described the design considerations for a 400 tph paste backfill system at Kidd Creek Mine. Since that time, the system has been con- structed and commissioned and has experienced enough run time for observa- tions and conclusions to be made regarding the performance of the system. This paper updates the final design criteria for the system and discusses the key items of interest including commissioning and operation challenges, methods of opera- tion and lessons learned. At the time of writing this paper (December, 2004), the system has been in operation for 4 months and has placed approximately 120,000 tonnes of fill. 300 Paste 2005, Santiago, Chile Commissioning and Operation Experience Lee, C. and Pieterse, E.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".