VOLUMINOUS STOPING IN THE MITCHELL PEAK GRANODIORITE, SIERRA NEVADA BATHOLITH, CALIFORNIA, USA
Bibliographic record
Abstract
The Mitchell Peak Granodiorite, Sierra Nevada, California, has an outcrop exposure of nearly 50% stoped blocks in its youngest intrusive phase and an estimated 20% exposure of stoped blocks throughout the entire pluton. In this pluton, stoping thus is an important process. It is an excellent locale to study the effect of stoping on the evolution of magmatic systems. Preliminary work in the Mitchell Peak area has shown a complex pattern of stoping at pluton margins, with abundant evidence for mechanical disintegration of the granodiorite blocks. Preserved blocks range in size from hundreds of meters across down to K-feldspar xenocrysts. Many stoped blocks have a sharp contact with the surrounding pluton; rare examples have a diffuse, partially melted contact. Abundant xenocrysts derived from the stoped blocks provide evidence of contamination. In addition, a variety of magmatic features concentrated along the margin of stoped blocks, such as swarms of microgranitoid enclaves, schlieren layering, aplite intrusive bodies and orbicular granodiorite, suggests that these are areas of repeated injection or pulsing of magma. We speculate that repeated injection of magma plays an important role in the mechanical and chemical breakdown of host-rock margins and of stoped blocks. Stoping may play an important role in the thermal, mechanical, and chemical contamination of magmas in arcs, and deserves further attention.
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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 | 0.001 | 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) | 0.003 | 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".