THE SYSTEM Fe Co Ni As S. I. PHASE RELATIONS IN THE (Fe,Co,Ni)As0.5S1.5 SECTION AT 650 AND 500 C
Bibliographic record
Abstract
The phase relations in the sulfur-rich regions of the system Fe–Co–Ni–As–S were investigated with mineral syntheses, and characterization of the products by electron-microprobe analysis and powder X-ray diffraction. The experimental charges were weighed with an atomic ratio (Fe + Co + Ni) /(As + S) of 1:2 and a S:As ratio of 3:1. Two isothermal sections were investigated, 500 ° and 650°C. The 500°C experiments resulted in the formation of arsenopyrite, cobaltite, cattierite, gersdorffite, linnaeite, monosulfide solid-solution, pyrite, siegenite and vaesite. Pyrite, the most common phase, is found in all Fe-bearing assemblages. The phase assemblages formed at 650°C involve cattierite, vaesite, cobaltite and gersdorffite in Fe-poor samples. In Fe-rich samples, the phase assemblage is dominated by monosulfide solid-solution and As1–xSx melt. The formation of this melt made it possible to estimate the activity of sulfur, using the constraints of Barton (1969). Cobaltite, cattierite and gersdorffite all show extensive solid-solution with respect to Co–Ni and As–S. All the Me(As,S)2 phases have a pyrite-type structure with a disordered distribution of As and S (space group Pa3); the unit-cell parameter a was determined.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".