The Kidd Creek Volcanogenic Massive Sulfide Deposit—An Update
Bibliographic record
Abstract
Abstract The Kidd Creek massive sulfide deposit is one of the world’s largest and highest grade Cu-Zn deposits, with total past production, reserves, and resources to the 9,800-ft level (2,990 m) of 170.9 million tonnes (Mt). The discovery hole, K55-1, was drilled in 1963 and encountered ore at a depth of only 7 m. It intersected 190 m grading 1.21% Cu, 8.5% Zn, 0.8% Pb, and 138 g/t Ag. The deepest ore intersection at 10,200 ft (more than 3,100 m) cut 442 m of mineralization with an average grade of 1.16% Cu, 7.8% Zn, 0.73% Pb, and 84 g/t Ag, remarkably similar to the very first ore intersected 44 years earlier and nearly 3 km above the bottom of the mine. After 50 years of continuous mining (1966–2016), the deposit has produced a total of 140.4 Mt of ore at grades of 2.29% Cu, 6.15% Zn, 0.22% Pb, and 86.2 g/t Ag, worth an estimated US$50 billion. The contained metal (3.8 Mt of Cu, 10.5 Mt of Zn, 0.38 Mt of Pb, and 12.7 million kg of Ag) accounts for nearly one-third of all metal in Archean Cu-Zn massive sulfide deposits worldwide. At the time of writing, production had reached a depth of 9,500 ft (2,896 m), and because of the remarkable continuity of both the tonnage and grade, mining below 9,800 ft (2,990 m) is now being planned to increase the mine life to 2021. It is currently the deepest base metal mine in the world, and after more than 1.8 million meters of drilling (1,800 km), the deposit remains open at depth.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".