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Record W4394956747 · doi:10.31857/s0869590323060067

Sources of Cu-Rich Sulfide Mineralization and high-Ni Olivine of the Rudnaya Dyke (Imangda Junction, Norilsk Region): Based on Compositional, Isotope and Model Data

2023· article· en· W4394956747 on OpenAlexaff
V. D. Brovchenko, I. A. Kirillina, Marina A. Yudovskaya, Gelu Costin, I. V. Pshenitsyn, Е. V. Коvalchuk, Yulia O. Larionova, Yulia D. Gritsenko, A. A. Ketrov, S. F. Sluzhenikin

Bibliographic record

VenueПетрология · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsNickel Institute
Fundersnot available
KeywordsOlivineGeologySulfideGeochemistryMineralization (soil science)IsotopeMineralogyMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The Rudnaya dyke of the Imangda ore junction is composed of the weakly differentiated olivine-bearing to olivine gabbrodolerites with sulfide globules and disseminated sulfides of (pentlandite-pyrrhotite)-chalcopyrite-cubanite composition. Along with cogenetic sulfide mineralization, dyke’s gabbrodolerites contain xenoliths of hornfelsed basalts, abundant amygdales and rare grains of zoned Ol-1 Fo90-47 with 0.5–0.06 wt % NiO that coexist with subhedral olivine Fo74-36 of the second generation. Modeling in the COMAGMAT and alphaMELTS programs showed that high-Mg olivine 1 with Cr-spinel inclusions could not be crystallized from a Fe-enriched tholeiitic magma that is parental for the dyke with 4.8–7.3 wt % MgO and 11.6–16.7 wt % total Fe2O3. The trend of variations and high Ni up to 0.5 wt. % in the cores of xenocrystic olivine Fo90-76 in contrast to maximum Fo83 and 0.4 wt. % NiO in olivine from the ore-bearing intrusions and picritic basalts of the Norilsk region point toward the presence of picritic cumulates, which magma had not exchanged with sulfide liquid. Platinum group element (PGE) abundances increase (up to 2.2 ppm) with Cu/Ni in the whole rocks as well as with proportions of pentlandite in a sulfide association. A specific chalcophile metal distribution, which is characterized by Ni, Os and Ir minima, elevated Cu/Ni (5–15) and Cu/Pd (3200–10 900) as well as lower both PGE tenor of sulfides (2–65 ppm) and Pd content in pentlandite (175 ppm) compared to typical of ore-bearing intrusions, suggests that Cu-rich sulfide mineralization was not mechanically captured from highly fractionated sulfide fractions of ore-bearing magmas but is cogenetic with a magma of the dyke. Sulfide saturation, near-simultaneous with fluid saturation and degassing, was achieved due to assimilation of sedimentary sulfur and volatiles from Devonian evaporites in the dyke conduit that is supported by the heavy S isotope composition of dyke’s sulfides with the average δ34S = 14.7 ±1.1‰ (n = 31), close to the values in sulfides from the endocontact zones of the ore-bearing Imangda intrusions hosted by Devonian strata. The initial isotopic characteristics of dyke’s rocks (Sri 0.70517–0.70532, ɛNd from –0.4 to 0.8) imply its comagmatic origin with the Norilsk-type intrusions whereas the overall data do not exclude even its spatial connection with an upper crustal conduit system of the ore-bearing magmas.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.205
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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