Geochemical anomalies of Cu–Mo in the southeastern part of Jiroft, Kerman Province, Iran: evidence for a new porphyry copper district in the southern sector of the Urumieh–Dokhtar Magmatic Belt
Bibliographic record
Abstract
The Urumieh–Dokhtar Magmatic Belt (UDMB) is a major metallogenic province in Iran, hosting several Cu ± Mo ± Au porphyry deposits. The southeastern part of Jiroft, Kerman Province, lies within this belt, where contrary to previous studies, recent field reconnaissance implies that volcanic rocks of the area are intruded by unexplored fertile Cu-bearing intrusive bodies. In this region, supergene alteration has also caused the impregnation of surficial stockworks with malachite and iron oxide/hydroxides, especially in the central parts, where fertile quartz diorite units are exposed. Mo mineralization is observed at a distance from the centre of the porphyry system. Rock units of the study area show clear alteration zones that can be easily differentiated. Potassic alteration, located mostly in the central parts, is covered by phyllic, argillic and propylitic alteration at shallower depths. In the present study, systematic sampling of rock units, including 309 lithogeochemical samples with 28 vein samples containing quartz + malachite, was carried out. Anomaly maps of Cu–Mo were analysed using classical statistics (median + nStev), multifractal concentration–number (C-N), concentration–area (C-A) and singularity index (SI) methods. Using the fractal C-A method, we obtained threshold limit values of 79.43 ppm for Cu and 15.85 ppm for Mo, which reflect the intensity of the anomaly and the presence of primary mineralization, supergene and enrichment phases. Weak anomalies and those that were hidden between the background with the enriched and depleted areas for Cu–Mo were determined using the SI method.
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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".