CRYSTAL STRUCTURE AND CRYSTAL CHEMISTRY OF LITHIUM-BEARING MUSCOVITE-2 <i>M</i> 1
Bibliographic record
Abstract
Abstract Crystal-structure refinements were done on Li-bearing muscovite-2M1 crystals from microgranite and granitic pegmatite rocks in order to characterize their crystal chemistry and their relationships with muscovite and trioctahedral lithium-containing micas. In addition to the substitution mechanism [6]Li+ [6]Al3+−1[4]Al3+−2[4]Si4+2, Li-bearing muscovite shows additional substitutions, such as mechanism [6]Li+ [6]Fe2+ [6]Al3+−1[6]□ −1, indicating that the structure deviates from ideal dioctahedral character. Single-crystal X-ray-diffraction data were collected for five crystals in space group C2/c; the agreement factor, Robs, varies between 0.033 and 0.042. The mean tetrahedral cation–oxygen atom distances range from 1.637 to 1.646 Å and from 1.629 to 1.647 Å for T1 and T2 sites, respectively. Variation in &lt;T–O&gt; distances is associated with the Li+/(Li+ + Al3+) ratio, octahedral M2 site expansion (9.30 ≤ volumeM2 ≤ 9.90 Å3) and reduction in size of the M1 site. Moreover, as the Li+/(Li+ + Al3+) ratio increases, the silicate ring becomes less distorted (5.9 ≤ α ≤ 11.4°), the basal oxygen-atom planes become less corrugated (0.147 ≤ Δz ≤ 0.232 Å), and the interlayer separation narrows (3.337 ≤ interlayer separation ≤ 3.422 Å).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".