Distinct Enrichment Mechanisms of PGE in Different Orebodies of the Jinchuan Ni‐Cu‐PGE Sulfide Deposit, Western China
Bibliographic record
Abstract
Abstract The Jinchuan magmatic Ni‐Cu‐PGE deposit is the largest single Ni sulfide deposit in the world. It consists primarily of orebody‐24 in segment I, and orebody‐1 and orebody‐2 in segment II. The contents of platinum‐group elements (PGE) in these orebodies decrease significantly from west to east across the deposit. However, the PGE characteristics of platinum‐group minerals (PGM) and alloys, as well as their roles during mineralization in different orebodies, remain unclear. In this study, PGM and alloy occurrences in orebody‐24 and orebody‐2 had been observed by scanning electron microscopy (SEM) and spherical‐aberration corrected scanning transmission electron microscope (Cs‐STEM). The PGE contents were analyzed by SEM–EDS for submicron‐scale PGM and alloys. The results show that olivine in lherzolite mainly hosts PGM of PtTe and PdBi 2 , whereas pyroxene contains small amounts of PdBiTe. Pyrrhotite predominantly hosts (Ir‐Rh‐Pt)AsS, Pd(BiTe), and other PGM, as well as PtSn and PtOs alloys. Pentlandite mainly encloses Pd(BiTe), PdBi/PdBi 2 and other PGM, as well as PtSn and PtFe alloys. Chalcopyrite primarily encloses PdBi/PdBi 2 , and other PGM, along with PtSn and IrOs. Distinct distribution patterns of PGE in PGM and alloys had been observed between different orebodies. Orebody‐24 contains more (Ir‐Rh‐Pt)AsS minerals and PtFe/PtSn alloy grains, whereas orebody‐2 has a higher proportion of Pt‐ and Pd‐bearing PGM. The presence of euhedral alloys in silicate minerals from orebody‐24 suggests that its parent magma had a higher PGE content before sulfide saturation than that of orebody‐2. More than 90% of PGM and alloys in both orebody‐24 and orebody‐2 contain Pt and Pd, emphasizing their contributions to the elevated Pt and Pd concentrations. The different PGE distributions of PGM and alloys in the two orebodies suggest that thermodynamic conditions ( f O 2 and f S 2 ) and semimetals, especially As, play critical roles in controlling PGE behavior and occurrence.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".