Genesis of the Ganfang Li-Rb-Cs-Be-Ta-Sn rare metal deposit: Evidence from geochemistry, geochronology, and Nd isotopes
Bibliographic record
Abstract
• Ganfang granite pluton emplaced successively during Early Cretaceous (140–144 Ma). • Enrichment of source magmas with rare metals, extreme fractionation, and melt-fluid metasomatism are the key factors. • Extreme fractional crystallization and unique source composition form rare metal deposit. Rare metal deposits are generally associated with highly fractionated granites with unique geochemical signatures and the mineralization is controlled by composition of magmas, degree of magma fractionation, and magmatic-hydrothermal processes. The Ganfang rare metal deposit, located in Jiangxi Province, south China, is hosted within a strongly peraluminous, P and F-rich S-type rare-metal granite pluton (the Ganfang composite granite pluton) of Early Cretaceous age in the Jiuling Neoproterozoic granitic batholith. The pluton comprises two-mica monzogranite, topaz-bearing muscovite-albite granite, and felsite (locally aplitic) dikes. The topaz-bearing muscovite-albite granite is highly enriched in Li, Ta, Sn, Nb, Be, Rb, and Cs, while the felsite displays ultra-high enrichment of P, Li, Cs, Rb, Be, W, Sn, Nb, and Ta. The cassiterite U–Pb (137–140 Ma), monazite U–Pb (∼140 Ma), and muscovite Ar–Ar (140–142 Ma) ages indicate a coeval magmatic association for the pluton. Nd isotopic compositions indicate magmatic origination in the Late Paleoproterozoic metasedimentary basement. However, the significant differences in contents of SiO 2 , Al 2 O 3 , Li 2 O, P 2 O 5 , Rb 2 O, Cs 2 O, and F among these three components suggest unlikely a single parental magma source. The columbite minerals in the topaz-bearing muscovite-albite granite show complex replacement textures and unique chemical composition, suggesting involvement of locally Ta-saturated magma and melt-fluid metasomatism during the magma evolution process. The felsite shows high F (up to 1 wt%), P 2 O 5 (up to 1.2 wt%), and Li 2 O (up to 1.5 wt%), indicating that the magma sequestered a large quantity of incompatible elements and ascended rapidly through the melt column to its emplacement level. In summary, enrichment of source magmas with rare metals, extreme fractionation, and melt-fluid metasomatism are the key factors in controlling genesis of the Ganfang Li-Rb-Cs-Be-Ta-Sn deposit.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".