Self Heating of Sulphide Ores, A Study of Chemical Interaction between Elemental Sulphur and Pyrrhotite
Bibliographic record
Abstract
Sulphide minerals are sources of industrial metals such as copper and nickel and precious metals such as gold and silver.During various stages of mineral processing, sulphide minerals are susceptible to Self-Heating (SH), a phenomenon where a material heats up without an external heat source.The detrimental effects of sulphide SH range from minor affects on flotation to major disruptions such as loss of equipment and life.SH is an exothermic oxidation reaction that occurs in three distinct stages, termed Stage A, Stage B, and Stage C. SH reactions are heavily influenced by the interaction between elemental sulphur and sulphide minerals during ambient oxidation reactions.This interaction is affected by many factors, such as time, oxygen content, moisture content, elemental sulphur content and temperature.This thesis focuses on the role of elemental sulphur
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".