COMPOSITIONAL DATA FOR Bi-Pb TELLUROSULFIDES
Bibliographic record
Abstract
Compounds containing essential Bi, Pb, Te and S are rare in nature. Aleksite, PbBi2Te2S2, is known from less than ten localities worldwide, and the single other recognized mineral, saddlebackite, Pb2Bi2Te2S3, is known only from the type locality, the Boddington Au deposit, Western Australia. Another phase, unnamed PbBi4Te4S3, had earlier been recognized as homogeneous grains and lamellar intergrowths within an assemblage consisting of aleksite, tellurobismuthite and tetradymite from St. David’s mine, Clogau, Wales, U.K. Re-investigation of this assemblage, including careful micro-analysis to avoid obvious intergrowths of phases, reveals an almost continuous range of compositions between tetradymite and aleksite. Investigations of complex sulfosalt–telluride assemblages from Iilijarvi, a satellite deposit within the Orijarvi orefi eld, southwest Finland, have revealed compositions approximating to the range Pb5Bi4Te4S7 – Pb7Bi4Te4S9. These occur as fi ne intergrowths, rarely as larger single lamellae, also with aleksite, within a matrix of giessenite, galena and cosalite. The samples contain abundant gold, seen also as symplectite intergrowths with rutile. Investigation of the microparagenesis of precious-metal-bearing galena – chalcopyrite – pyrite mineralization in quartz veins at Fragant (“Langenleiten”), Carinthia Province of Austria, revealed the presence of several compositionally different Bi–Pb tellurosulfi des. Aleksite is the most abundant, followed by unnamed phases with compositions close to Pb3Bi4Te4S5, Pb5Bi4Te4S7 and Pb6Bi4Te4S8. They occur as inclusions in galena and are variably associated with sulfosalts such as lillianite, cosalite, felbertalite and aikinite. The compositional dataset from the above occurrences is diffi cult to interpret
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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 | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.009 | 0.004 |
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".