A geochemical study of gersdorffite from the Trepça Mineral Belt, Vardar Zone, Kosovo
Bibliographic record
Abstract
This work presents a textural and chemical study of gersdorffite from numerous small occurrences of hydrothermal Pb-Zn + (Ni-As-Sb) mineralization from Trepça Mineral Belt (broad area of Stan Terg and Kizhnica-Hajvalia-Badovc ore field) hosted in hydrothermally altered serpentinites (listvenites).Mineral associations, textural relations and substitutional trends of gersdorffite recognized in Kizhnica, Mazhiq, Melenica, Vllahia and Selac are discussed based on microscopy and microprobe studies.The two types of paragenetic sequence with nickel mineralization are distinguished in studied localities: Ni-Fe-Co sulfides → Ni sulfarsenides and sulfantimonides (in Kizhnica-Badovc and Melenica) and Ni sulfarsenides → Ni-Fe arsenide and diarsenide → ± Ni sulfides (Vllahia and Selac).Various substitution trends in studied GUS are detected: Fe + Co/Ni (all localities, except Selac); As/Sb -gersdorffite-ullmannite series (Kizhnica, Mazhiq, Vllahia VLX) and As + Sb/S (Selac and Vllahia VL4).Based on As/S ratio, two different hydrothermal fluids were distinguished: narrow range and low As/S values (Kizhnica, Mazhiq, Melenica, Vllahia VLX), which suggest decreased As activity, mixing in the proximity of deposition site (Kizhnica, Mazhiq), broad range and high As/S values: increased As activity and disequilibrium crystallization (Selac, Vllahia VL4).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 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".