Fractal analysis of the sulfide composition and structure of interspersed ores in picrite gabbro-dolerites of the Oktyabrsky deposit, Norilsk ore field
Bibliographic record
Abstract
The analysis of ore samples taken from wells drilled on the Eastern flank of the Oktyabrskoye deposit was carried out. In the vein-disseminated sulfide copper-nickel ores of the deposit, three types of mineralization are distinguished, which clearly differ from each other: interstitial-teardrop-like, interstitial, tear-shaped-interstitial. A sample of each type of ore was examined by 3D tomography and analyzed using fractal theory. Based on the results of the study, a conclusion was made about the relationship between the fractal dimensions of ore minerals and the dynamics of the formation of various types of ores. The pattern of changes in the intensity of mineralization from the thickness of the layers is established. The results obtained may be of great importance in relation to the technology of enrichment of new types of ores from the flanks of the deposit, and also be an additional criterion for identifying in disseminated ores zones with the highest intensity of ore mineralization during prospecting and exploration in the Norilsk ore region.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".