EXSOLUTION MICROSTRUCTURES IN NH4-BEARING MUSCOVITE AND ANNITE IN GNEISSES FROM THE TORROX AREA, BETIC CORDILLERA, SPAIN
Bibliographic record
Abstract
Variably sized lamellae of annite within muscovite crystals and lamellae of muscovite within annite crystals from gneissic rocks of the Torrox area in the Betic Cordillera, Spain, are interpreted as formed by exsolution of NH 4 -bearing micas present in the earliest metamorphic assemblage.The NH 4 -rich white mica, identified only in the overlying schists, was formed during the first diagenetic-to-metamorphic episode, with N derived from the maturation of organic matter.Initially contained in white mica, the NH 4 was redistributed between white mica and annite, probably at conditions of increasing metamorphism.In the current assemblage of gneisses, NH 4 is preferentially concentrated in annite, especially in the composite Ms+Ann grains.This assemblage, which consists of muscovite in homogeneous grains + muscovite in exsolved grains + annite in homogeneous grains + annite in exsolved grains, was probably derived from the lower-temperature four-mica assemblage: muscovite + NH 4 -rich white mica + annite + NH 4 -bearing annite.Exsolution as temperature increased explains the presence of NH 4 -rich micas in the overlying schists and the presence of exsolved grains in gneisses.The exsolution process occurred at ~450°C and ~3 kbar, physical conditions characterizing the first metamorphic episode affecting this formation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".