Lithium Isotope Fractionation during Intensive Felsic Magmatic Differentiation
Bibliographic record
Abstract
All the isotope and element data of the manuscript "Lithium isotope fractionation during intensive felsic magmatic differentiation". Table 1 Major elemental compositions (in wt.%) for granites from the Xihuashan and Yaogangxian plutons Table 2 Li isotopic and selected trace elemental compositions for granites from the Xihuashan and Yaogangxian plutons Table 3 Li concentration and Li isotopic composition of minerals separated from granites and greisen of Xihuashan pluton. Table S1. The analyzed International reference materials Table S2. Chemical compositions of mica from granites in the Xihuashan pluton Table S3. Major and trace element compositions of K-feldspar from granites in the Xihuashan pluton. Table S4. Trace element compositions of zircon from granites in the Xihuashan pluton Table S5. Parameters used for the Rayleigh crystal fractionation modeling
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.025 |
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".