Petrographic and geochemical characteristics of rocks in the Drenas region, Kosovo
Bibliographic record
Abstract
Purpose. The paper purpose is to provide complete identification of rock types and the geochemical characteristics in the Drenas region. The authors seek to determine the discontinuity or continuity of all inter-formational boundaries to accurately delineate them in the field and fully reflect on a 1:25000 scale map. In addition, they reveal the nature of the contact between rock types, giving its detailed description and geochemical characteristics. Methods. Geological study is focused on the following facts: complete identification of all rock types on the basis of studying their samples, preparation of thin sections for petrographic study, chemical and geochemical analysis. The methods applied for geochemical analysis use the MinPet software. This software, used for mineral chemistry, is programmed to process and recalculate the results of major-element analysis according to the most common normative calculation schemes. This software is used in scientific works for constructing diagrams of rock calcification and geochemical interpretations according to the components of Na2O + K2O/SiO2, as well as rare earth elements according to the component SiO2/Zr/TiO2. The exploration field trips have been conducted to identify and describe areas of mineral outcrop. Findings. Based on the study of geochemical analysis and the petrographic description of mineral outcrops, as well as examination under a microscope, different types of rocks have been identified. Based on these types, the origin, age and spread of these rocks in this region have been determined. Originality. The originality of the study is in the use of the analysis results obtained in the AcmelLabs Laboratory, Vancouver, Canada, for major elements, rare earth elements and trace elements, which are shown in the diagrams presented in this paper. Practical implications. The geochemical analysis leads to the conclusion that the studied area has Ni-mineralization, which is important for the development of mining sector, as well as for the community while preserving the environment and applying an adequate method of exploiting the area.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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".