Skarn classification and element mobility in the Yeshan Iron Deposit, Eastern China: Insight from lithogeochemistry
Bibliographic record
Abstract
Skarns form by significant fluid-mediated exchange of mass and heat between igneous rocks and their surrounding wall rocks into which they intruded. Quantification of the mass exchange associated with skarn alteration requires knowledge of the skarn protoliths, which are often masked by metamorphic recrystallization and intense calc-silicate metasomatism. To overcome this challenge in characterizing the Yeshan skarn Fe deposit in Eastern China, a cross-section through the complete rock sequence, from the carbonate wall rock to the pluton, was systematically sampled, and analyzed for bulk-rock major and trace elements. Underpinned by the skarn zonation model, ln(SiO2/Al2O3), ln(SiO2/TiO2), and REE + Y values in the skarns were used to distinguish the various skarn protoliths. The effectiveness of the ln(SiO2/Al2O3) and ln(SiO2/TiO2) is supported by the variable mobility of Si, Al, and Ti during magma-derived fluid infiltration into the carbonate wall rocks at Yeshan. The effectiveness of REE + Y is based on their significant concentration differences in the carbonate wall rocks and igneous rocks at Yeshan. These geochemical indexes may be applicable to the characterization of protoliths and mass transfer in skarn deposits where igneous rocks intruded carbonate wall rocks.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.008 | 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".