Identification of High δ<sup>18</sup>O Adakite‐Like Granites in SE Tibet: Implication for Diapiric Relamination of Subducted Sediments
Bibliographic record
Abstract
Abstract Sediment relamination in subduction zones is posited to be important for the compositional evolution, physical structure and material recycling of the Earth. Despite support from numerical experimental modeling and geophysical observation, magmatic evidence for relamination is rare and difficult to identify in ancient and modern convergent systems. Here we report newly identified ca.32–27 Ma adakite‐like granites with high δ18O values (up to 10.38‰) from the Ailaoshan‐Red River (ASRR) shear zone in western Yunnan (SE Tibet). Their geochronological and compositional data strongly exhibits significant contributions from Permian‐Eocene sedimentary rocks in the lower crust (30–45 km). Our study provides further evidence that the lower crust may be partially composed of more felsic lithologies likely originating from rapid supracrustal material recycling via diapiric relamination of (meta)sedimentary material during Cenozoic‐age continental subduction. The ASRR adakite‐like granites thus represent clear magmatic evidence for sediment relamination in a subduction system.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".