Platinum-Group Elements-Co-Ni-Fe Sulfarsenides and MineralParagenesis in Cu-Ni-Platinum-Group Element Deposits, Copper Cliff NorthArea, Sudbury, Canada
Bibliographic record
Abstract
Three deposits (the offset sublayer 100 and 120 orebodies, and contact sublayer Lady Violet deposit) in the Copper Cliff North mine area, Sudbury, were sampled with the aim of defining the mineral assemblages. The ores are composed of pyrrhotite-pentlandite-chalcopyrite with minor titanomagnetite, ilmenite, accessory sulfarsenides, Bi-Te minerals, and sperrylite. Sulfarsenides, which are prominent accessory minerals, contain the platinum-group elements (PGE) Rh, Ru, Ir, Os, and Pt in decreasing order of abundance in solid solution. Some zoned sulfarsenide crystals have PGE concentrated in the centers, decreasing toward the edges. Nickeliferous cobaltite, the common sulfarsenide, contains as much as 16 at. percent ΣPGE. Hollingworthite ((Rh,Ru)AsS), which occurs as cores or distinct crystals enclosed in cobaltite, is a newly recognized occurrence in the 100, 120, and Lady Violet deposits in the Sudbury South Range. Formation of primary PGE-bearing sulfarsenides is related to exsolution from monosulfide solid solution at about 550° to 600°C. During late crystallization, aqueous fluids interacted with the rocks, resulting in precipitation of hydrous silicates (epidote, biotite, chlorite) and remobilization of PGE-bearing sulfarsenides.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".