Wall control by blasting optimization at “Las Cruces” open pit copper mine (Spain)
Bibliographic record
Abstract
The hydrometallurgical plant uses atmospheric ferric leaching technology, followed by SX-EW to produce copper cathode at a design production rate of 72,000 tonnes per year with a 91% recovery. An ongoing stockpile blending program helps smooth the plant feed grade. The deposit is a secondary sulphide mineral deposit formed by supergene enrichment in the up dip part of a massive primary sulphide zone. Near surface oxidation of the sulphide minerals to an iron oxide gossan, transport and precipitation of copper and finally replacement of unoxidized primary massive sulphides at depth formed the orebody. Subsequent 1 INTRODUCTION Las Cruces is a copper open pit mine located 20 km. northwest of Seville, Spain and fully owned by Inmet Mining Corporation (Toronto, Canada). Las Cruces project is located in the eastern part of the prolific Iberian Pyrite Belt VMS district and is one of the highest grade copper deposits in the world. Original resource outlined was 17.6 million tonnes @6.2% Cu, equivalent to 1 million tonnes of contained copper. The Las Cruces mine has been in operation since 2009, having processed 1.4M tonnes in total as of December 31, 2011.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".