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Record W1901092607 · doi:10.1002/gj.2583

Discovery and significance of Cu–Zn intermetallic compounds in the Jingxi gold deposit, western Tianshan Mountains, NW China

2014· article· en· W1901092607 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeological Journal · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMcGill University
FundersChina Geological SurveyNational Natural Science Foundation of China
KeywordsIntermetallicPyriteGeologyEMPAElectron microprobeMineralogyQuartzMetallurgyGeochemistryMaterials science

Abstract

fetched live from OpenAlex

A group of Cu–Zn intermetallic compounds has been discovered in breccias at the Jingxi gold deposit, NW China. The host rocks, silicified tuff and andesite, are cut by pyrite‐bearing quartz veins and are intensely silicified which leads to a high SiO 2 content (over 85%). The main component of breccia is siliceous rock, with the cement mainly siliceous and tuffaceous. Under the reflected light microscope, the Cu–Zn intermetallic compounds have quadrilateral shapes which range in size from 6 to 28 µm. Scratches and pitting can be seen on the surfaces of them. The reflection colour of these intermetallic compounds is golden yellow, similar to gold but slightly more white, with a reflectivity that is lower than that of Au and is more close to that of pyrite. They are weakly bireflectant, ranging from bright yellow to golden yellow. Under polarized reflected light, they show a weak anisotropism and no internal reflections. The EMPA (WDS) results of the intermetallic compounds reveal that the ranges of concentration (wt%) are Cu: 81.35 ~ 85.36 (on average 83.75), Zn: 6.08 ~ 10.10 (on average 7.39), Sn: 4.13 ~ 6.75 (on average 5.23) and Ni: 0.88 ~ 1.38 (on average 1.05), with minor S: b.d. ~ 5.05. Compared with other Zn–Cu intermetallic compounds previously described, these Cu–Zn intermetallic compounds can be classified as α portion phase which has an over 80% Cu content. In the Jingxi gold deposit, the Cu–Zn intermetallic compounds occur as xenomorphic grains and are paragenetically closely linked with the formation of planar silicification. The characteristics of ore type, ore mineral assemblages and ore textural relations demonstrate that these Cu–Zn intermetallic compounds were formed during the early stage of mineralization (I stage) under conditions of both low f O 2 and f S 2 . Generally speaking, the native elements and their intermetallic compounds formed at the high melting temperatures under strongly reducing conditions, with O and S absent. Because of the sudden drop of the confining pressure, we believe that fast upwelling and cooling of magmatic hydrothermal fluid make reactions between S and Cu/Zn difficult when S is either absent or present. As a result, Cu–Zn intermetallic minerals will deposit. Copyright © 2014 John Wiley & Sons, Ltd.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.470

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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