NICKELOAN TOURMALINE FROM THE BEREZOVSKOE GOLD DEPOSIT, MIDDLE URALS, RUSSIA
Bibliographic record
Abstract
Nickeloan tourmaline (up to 0.531 apfu Ni) associated with nickeloan talc (0.511–0.582 apfu Ni) or chromian muscovite is developed in magnesite–quartz veins hosted in ultramafic talc + magnesite ± hematite ± chromian muscovite hydrothermal alteration located in Uspenskaya Gorka, eastern flank of the Berezovskoe gold deposit, Middle Urals, Russia. The unusual Nirich composition of the silicates reflects the geochemical environment of formation. Tourmalines are represented by light and dark green needles in aggregates up to 2 cm in length. Crystals are characterized by a strong pleochroism, from colorless to green. Tourmaline cores associated with talc are magnesiofoitite with an elevated Na content (0.436–0.452 apfu) and a Mg/(Fetot + Mg) value of 0.90, or dravite [Na 0.535–0.765 apfu, Mg/(Fetot + Mg) 0.87–0.88]. In the magnesiofoitite, Ni and Cr contents range from 0.060 to 0.425 apfu, and from 0.214 to 0.249 apfu, respectively. In the dravitic cores, Ni and Cr contents range from 0.077 to 0.102 apfu and from 0.000 to 0.272 apfu, respectively. Intermediate and rim zones are magnesiofoititic and dravitic [Na 0.443– 0.938 apfu, Mg/(Fetot + Mg) 0.74–0.90]. Ni and Cr contents in the same zones range from 0.020 to 0.531 apfu, and from 0.188 to 0.449 apfu. The distribution of the Mg/(Fetot + Mg) within single crystals is oscillatory. Partition coefficients for Ni and Fetot between tourmaline and talc are 0.05 and 21.48, respectively. Tourmaline associated with chromian muscovite can be classified as dravite (0.669–0.936 apfu Na), with Mg/(Fetot + Mg) ranging from 0.76 to 0.89. Some crystals are enriched in Cr (up to 1.564 apfu); Ni content ranges from 0.036 to 0.217 apfu. The Mössbauer study indicates that about half of the total Fe is Fe 3+ in the
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".