Geochemical Study of Shaxi Porphyry Copper-Gold Deposit in Southern Part of Tan-Lu Fault Belt, East China
Bibliographic record
Abstract
Abstract Shaxi porphyry Cu-Au deposit in central Anhui Province is located in the Middle-Lower reaches of Yangtze metallogenic valley in east China Red sandstone and conglomerate of Cretaceous age, clastic rocks of Middle and Lower Jurassic, clastic rocks of continental sea facies of Upper Devonian-Middle Silurian age, various continental volcanic rocks of Jurassic age form the rock types of the Shaxi porphyry copper-gold metallogenic belt The ore district is cut by multiple faults, of which the most important are Tanlu fault and Fanshan-Tongling faults, the former being the largest fault system in East Asian continent and the later being the regional deep fault The geological, geochemical and mineralogical methods used to investigate the porphyry copper-gold deposit associated with large scale sulphide mineralization forms the theme of this paper Through field geological surveys, mineralogical observation, compositional analyses on minerals using EMPA, geochemical analyses on Cu-Au-bearing intrusive rocks, fluid inclusion and oxygen, hydrogen, sulphur isotopic studies, and element distributions detected by PIXE system, the characteristics of mineralization and gold occurrence in the Shaxi porphyry copper-gold deposit have been fully investigated The results of the study form the basis for further research and exploration on the porphyry copper-gold deposit of the Middle-Lower Yangtze 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 | 0.001 | 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) | 0.000 | 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".