The garnet effect on hafnium isotope compositions of granitoids during crustal anatexis
Bibliographic record
Abstract
Abstract Radiogenic Hf isotope disequilibrium during crustal anatexis complicates petrogenetic studies that link sources to sinks in granitoid systems and hinders the applications of Hf isotopes to evaluating long-term crustal growth and evolution. Garnet can be a dominant host of radiogenic Hf in crustal rocks, and its behavior in granitoid sources may play a crucial role in isotopic decoupling between residue and melt. We document covariation between (Gd/Lu)N ratios and εHf(t) in post-collisional granitoids from the Dabie orogen (central China). This covariation reflects different garnet modal contents in the residue during anatexis. Quantitative modeling further confirms the dominant role of mixing between melts derived from garnet-rich and garnet-poor residua in producing the observed covariation patterns, but results are inconsistent with the entrainment of garnet rich in radiogenic Hf in the melt. Our results demonstrate that the garnet effect on Hf isotope ratios during crustal anatexis is a crucial factor in elucidating the granitoid source and complicates interpretations of crustal growth from the global zircon archive.
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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 | 0.001 |
| 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".