Efficient strategies to enhance gold leaching during cyanidation of multi‐sulfidic ores
Bibliographic record
Abstract
The high reactivity of sulfide minerals in alkaline cyanide solutions makes gold cyanidation a multifactorial process controlled by the mineralogy of the host rock and where gold recovery is a complex outcome from gold surface passivation, galvanic interactions between the conducting phases (i.e., Au‐sulfide and sulfide‐sulfide) present in multi‐sulfidic ores and excess cyanide and oxygen consumptions. In this study, we highlight a new methodology using a multilayer packed‐bed gold cyanidation reactor to discriminate the role of gold associations and ore mineralogy in multi‐sulfidic‐ore cyanidation. The proposed system also allows for the investigation of the effects of pre‐oxidation and leads addition strategies and their impact on gold leaching rate in the presence of galvanically associated sulfide‐sulfide systems.
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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".