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Record W4402252561 · doi:10.3749/2400006

Ore Assemblages, Platinum-Group Minerals, and Behavior of Cl in Low-Sulfide Zones, Vologochan—Pyasinskiy Suites, Norilsk Complex, Russia

2024· article· en· W4402252561 on OpenAlexaff
A.Yu. Barkov, I. I. Nikulin, Robert F. Martin, Andrey A. Nikiforov, Sergey A. Silyanov, Boris M. Lobastov

Bibliographic record

VenueThe Canadian Journal of Mineralogy and Petrology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeochemistryGeologyPlagioclaseSulfideChromiteMineralization (soil science)AmphibolePentlanditePlatinum groupOlivineMineralogyPyrrhotiteChemistryQuartzMetallurgyPyriteMaterials science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.015
GPT teacher head0.210
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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