Control of dilution using the modified creeping cone method at Selebi North Mine
Bibliographic record
Abstract
Abstract Mining companies are adopting bulk mining methods in their operations because they are safe and can be easily mechanized and automated. The introduction of the creeping cone method at Selebi North Mine in Botswana reduced ore dilution by a half. However, the low grades of the mineable reserves in the deeper sections of the mine require further reductions in dilution to mine profitably. The modified creeping cone (MCC) method was designed to create stable stope wall conditions and give lower dilution levels. Voussoir arch and simple beam theory methods were used to design the MCC method. The results show that for stopes 50 m high and 4 – 22 m wide, 50 – 185 m of room span can be mined using cable bolt reinforced walls. With the MCC method, ore dilution can be reduced to 19.2% while ore grades will increase by 10.5%. Keywords: DilutionStopePillarsWallsRockmass
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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".