COMPOSITIONAL VARIATION IN MERCURIAN TETRAHEDRITE TENNANTITE FROM THE EPITHERMAL DEPOSITS OF THE STEENS AND PUEBLO MOUNTAINS, HARNEY COUNTY, OREGON
Bibliographic record
Abstract
Mercury-bearing tetrahedrite–tennantite (tetrahedrite ss ), III (Cu + ) 6 IV [(Cu + ) 4 ( R 2+ ) 2 ] III(Sb,As) 4 IVS 12 VIS, where R 2+ = Hg, Fe, Zn, Cu … is a minor but important constituent in the epithermal deposits of the Steens–Pueblo Mining District of southeastern Oregon. Electron-microprobe analyses of tetrahedrite ss from 12 of the deposits reveal complete substitution between the tetrahedrite and tennantite end-members with extensive substitution of Hg (up to 21.3 wt.%) and, in one deposit, silver (up to 49.7 wt. %). The Hg content is negatively correlated to the both the Fe and, especially, the Zn content, and positively but weakly correlated to the Sb content. Thus samples with the highest Hg contents (~2 atoms per formula unit) tend to be tetrahedrite ss with only minor to trace amounts of Fe and Zn and approximately 10 atoms per formula unit of Cu. Samples from the O’Keefe claims contain the highest Hg and Ag contents, Ag 6.00 [(Ag 4.00 ) (Cu 0.62 Hg 0.60 Zn 0.40 Fe 0.12 Co 0.05 Cd 0.04 )] (Sb 2.35 As 1.72 ) S 13.09 , ever reported for an intermediate member of the tetrahedrite–tennantite series, with substitution extending to the end member in which Cu is entirely replaced by Ag. This end member corresponds to the Sb-dominant analogue of argentotennantite. The antipathetic relationships between Ag and As, and between Ag and S, often reported in natural tetrahedrite ss , is not observed. The accommodation of large amounts of Ag in both the trigonal and tetrahedral sites in the structure seems facilitated by the presence of significant Hg and Zn in the tetrahedral framework rather than by the formation of S defects and octahedral metallic clusters.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".