Canadian Mineralogist Yol.2.6, pp. 283-291 (1988) STOICHIOMETRY, STRUCTURE AND TWINNING OF GODLEVSKITE AND SYNTHETIC
Bibliographic record
Abstract
New electron-microprobe data for godlevskite from Noril'sk indicate a 9:8 (metal:sulfur) stoichiometry, con-sistent with the recent determination ofits structure in space group 422, and a formula of (Nis.7Fes.3)S6. Powder-diffraction intensity data confirm that low-temperature N! excess nickel sulfide is the qynthetic equivalent of godlev-skite, and also has a formal composition of NigSs; o-Ni7S6 disproportionates on annealing at,297oC to NieSs and Ni3S. The twin law for godlwskite from Noril'sk is estab-lished as: composition plane (l0l), twin axis normal to (l0l). The structure of godlevskite and synthetic NieSs is a hybrid of the structural elements of pentlandite, millerite and a-Ni7S6; unlike millgrils, a-Ni7S5 and headewoodite' the structure does not contain 3-fold clusters (Ni) of short Ni-Ni distances.
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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 | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.126 | 0.062 |
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".