Canadian Mineralogist VoL 27, pp. 483-493 (1989) THE STABILITY OF LlZARDITE AND CHRYSOTILE
Bibliographic record
Abstract
The method of dual networks was used to investigate phase relations in the MASH system amongst brucite (B), forsterite (F), aluminian lizardite (L), chrysotile (C), an-tigorite (A), talc (T), c1inochlore (Cl), and water (W). Only nine of the 96 possible univariant equilibria, and two ([B,C] and [L,T,Cl]) of the 15 invariant points are calculated to be stable in the P(HzO)-T plane. The P(HzO)-T coor-dinates of invariant point [B,C] are determined by the in-tersection of the reactions L = F + T + CI + W (1) and A = F + T + W (2). Reaction (1) shifts to lower temper-atures and pressures with decreasing AI content of lizardite. Thus, invariant point [B,C], located at P(HzO)> 25 kbars for lizardite with high-AI content (>9.0 wt. % Alz03), shifts to P(HzO) 5 kbars for lizardite with intermediate-AI content (-3.5 wt.OJoAlz03). As a result, the lizardite stability field decreases as the AI content of this phase decreases. Extrapolation of the above trend to lizardite with low-AI content (AIZ03 < 1.0 wt. %) suggests that the to-pology of the phase diagram changes and conforms with that of the AI-free system. One result of this change is that
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.190 | 0.069 |
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".