Uranium-rich pyrochlore, thorite and associated minerals in the Muluozhai rare-earth deposit (Sichuan, SW China): implications for the geochemistry of high-field-strength elements in carbonatites and mineral exploration
Bibliographic record
Abstract
The Muluozhai rare-earth deposit in the Mianning-Dechan metallotect (China) is hosted by carbonatites genetically linked to subduction and plate collision in the eastern Tibet. The Muluozhai carbonatites comprise variable proportions of bastnäsite-(Ce), fluorite, barite and calcite, along with abundant xenoliths of nordmarkite and metabasalt wall-rocks. Muluozhai is unusual among similar deposits in plate-collision zones owing to its locally high levels of Nb, Th and U arising from the presence of U-rich pyrochlore (+ minor betafite, 19.4–29.4 wt% UO 2 ) and thorite (5.5–15.4 wt% UO 2 ) associated with zircon (up to 3.0 wt% ThO 2 and 2.0 wt% UO 2 ), rutile (up to 16.3 wt% Nb 2 O 5 and 1.7 wt% V 2 O 3 ) and molybdenite. The chemical variation of pyrochlore at Muluozhai records contemporaneous crystallization of zircon, thorite, fluorite and other F-rich minerals, followed by rutile, and culminates with anion-deficient Sr-rich compositions indicative of hydrothermal alteration. Pyrochlore-group phases are rare in carbonatites from plate-collision zones, and the few known examples can be distinguished from those in anorogenic occurrences, including previously and currently active Nb mines, using a combination of discrimination criteria (e.g., their U, Ti and Ta contents, Th/U, Ta/Ti and Ti/Nb ratios). Using a global database of carbonatite compositions, we suggest that these differences reflect, to some extent, the unusual geochemistry of plate-collision carbonatites and their mantle sources with respect to high-field-strength elements. However, some geochemical characteristics of these rocks (e.g., variations in Th/U and Nb/Ta ratios) may stem from “nugget effects” caused by early pyrochlore or thorite fractionation. Implications of these data for niobium exploration are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 source (direct Gemma or distilled Codex), 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".