Ore Assemblages, Platinum-Group Minerals, and Behavior of Cl in Low-Sulfide Zones, Vologochan—Pyasinskiy Suites, Norilsk Complex, Russia
Bibliographic record
Abstract
Abstract Ore assemblages in zones of low-sulfide mineralization of the Vologochan−Pyasinskiy intrusion of the Norilsk complex have multicomponent compositions involving Pd, Pd-Pt-(Rh, Ir), Au-Ag, REE, Y, Zr, Th, and U. They were deposited at late stages of crystallization of the ore-bearing zones in the presence of abundant volatile components, especially Cl, which accumulated late in the fluid-saturated medium. Evolutionary trends in the ore zones are documented in the compositions of olivine, orthopyroxene, clinopyroxene, plagioclase, spinel-group minerals, calcic amphiboles, apatite, micas, and pentlandite, among other species. We find (1) examples of monomineralic inclusions of clinopyroxene and plagioclase trapped in a globule of oxide melt, (2) evidence of the possible existence of a melt of anhydrite composition, and (3) aggregates of magnetite deposited along the periphery of grains of hercynite–spinel solid solution. A progressive buildup in Cl is reflected in patterns of compositional zonation in apatite, calcic amphibole, and annitic mica; levels of Cl consistently increase outward. Very efficient differentiation proceeded under oxidizing conditions in the mineralized zones of the Vologochan−Pyasinskiy intrusion. We provide complementary mineralogical data for sulfide-poor ore zones in the western flank of the Oktyabrsky deposit. Our inferences lead to a better understanding of ore genesis and evolution of low-sulfide ore-forming environments associated with the Siberian Traps.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".