MétaCan
Menu
Back to cohort
Record W4408361667 · doi:10.2138/am-2024-9597

Contribution of Te-Bi melts in gold enrichment at the giant Jiaodong gold province, North China Craton: Insights from the Taishang deposit

2025· article· en· W4408361667 on OpenAlexaff
Zhongzheng Yuan, Zhan-Ke Li, Andrew G. Tomkins, Xiao-Ye Jin, Shao-Rui Zhao, Gao-Hua Fan, Huashan Sun

Bibliographic record

VenueAmerican Mineralogist · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCratonChinaGeologyGeochemistryGeographyPaleontologyArchaeologyTectonics

Abstract

fetched live from OpenAlex

Abstract Te-Bi melts have been recognized as crucial agents for scavenging gold in gold deposits related to magmatism, often characterized by a notable Au-Te-Bi association. This association is also recognized in the gold deposits of the Jiaodong district, although the specific roles of Te and Bi in gold enrichment in this region have not been thoroughly evaluated. In this study, we investigate the mineralogy and geochemistry of Au-Ag-Te-Bi mineral assemblages and pyrite at the Taishang gold deposit to better understand the influence of Te-Bi melts on gold enrichment and refine the ore genesis models for the Jiaodong district. The gold mineralization at Taishang comprises three stages: phyllic alteration (Stage I), pyrite-quartz veins (Stage II), and polymetallic sulfide veins (Stage III). In Stage I, gold mainly occurs as inclusions of native gold and electrum within pyrite, alongside hessite, petzite, and minor tetradymite. Stage II features multiphase Au-Ag-Te-Bi-(S)-(Pb) assemblages, including native gold, electrum, hessite, petzite, tetradymite, tsumoite, joséite-B, and sub-micrometer Te-Bi-(Pb)-(Au)-(Ag)-rich phases as inclusions and fracture-fillings in pyrite. In Stage III, gold mineralization is less intense, marked by sparse native gold and electrum grains intergrown with pyrite, galena, and chalcopyrite. The mineralogical patterns reveal a strong relationship between Au, Ag, Te, and Bi, corroborated by trace element compositions of pyrite, which exhibit strong positive correlations among these elements. Furthermore, the texture of Au-Ag-Te-Bi assemblages in Stage I and II (i.e., unsharp and curvilinear boundaries) suggests crystallization from melts. Supported by relevant experimental evidence, the low temperature of Au-Ag-Te-Bi systems enables Te-Bi melts to effectively scavenge gold from fluids at the temperature conditions of Taishang (246–336 °C). The presence of Au-Ag-Te-Bi association in both Taishang and other Jiaodong gold deposits underscores the importance of Te-Bi melts in enhancing gold enrichment. This finding introduces vital insights into the established model of gold mineralization in the Jiaodong district.

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)0.000
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 score0.268
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.006
GPT teacher head0.210
Teacher spread0.205 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAmerican MineralogistSame topicGeochemistry and Geologic MappingFrench-language works237,207