The Influence of Magma Mixing on the Composition of Andesite Magmas and Silicic Eruption Style
Bibliographic record
Abstract
Abstract Although inhibited on established fluid mechanical grounds, extensive magma mixing can play a critical role in creating andesite magmas at volcanic arcs and triggering effusive or explosive volcanism. We use analog experiments, scaling theory, and thermodynamic modeling of natural volcanic systems to show that mechanical mixing is enhanced if an intruding magma crystallizes to acquire a yield strength. Mafic magmas intruding highly silicic reservoirs will fragment as crystal‐sized blobs/enclaves to produce textural homogeneity at the outcrop scale and heterogeneity at the scale of individual crystals. Rapid degassing from these enclaves can favor the production of permeable magmatic foams that facilitate gas loss from the reservoir and effusive volcanism. Crystallizing magmas intruding similar composition reservoirs of comparable or smaller effective viscosity will fragment at scales approaching the dike width. Sluggish degassing and consequent volatile retention in the reservoir can enhance volatile exsolution in an erupting conduit and tendency for explosive volcanism.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".