Bibliographic record
Abstract
The use of autoclaves for the recovery of metals, using aqueous sulphate systems, has been a focus of Sherritt Inc. for more than 40 years. Following the pioneering commercialization of a pressure hydrometallurgy process in 1954 for nickel production, Sherritt Technologies have continued to develop and assist in the commercial implementation of autoclave processes for other metals, notably gold and zinc.The direct pressure oxidation of zinc sulphide concentrates to produce zinc sulphate solutions which are suitable for conventional recovery of zinc by electrowinning, while oxidizing the sulphide sulphur only as far as its elemental form, has been promoted by Sherritt for more than 30 years. Its commercial realization in 1981 by Cominco Ltd., at Trail, B.C., has been followed by Kidd Creek Division of Falconbridge Limited at Timmins, Ontario, in 1983 and Ruhr-Zink at Datteln, Germany, in 1991. In 1993, the elimination of a zinc roaster operation was achieved by Hudson Bay Mining and Smelting, through the installation of three autoclaves.This paper was prepared jointly by the operators of the pressure leach circuits at four zinc plants and focuses on the operating results and improvements achieved over the years, as well as the principal chemistry of the process.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.528 | 0.348 |
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".