Genesis of the Changlingzi Zn–Pb deposit in the southern Great Xing’an Range, northeastern China: constraints from fluid inclusions and H–O–S–Pb isotope systematics
Bibliographic record
Abstract
The Changlingzi Pb–Zn deposit is located in the southern Great Xing’an Range metallogenic belt of Northeast China. This deposit experienced two types of mineralization including skarn (ore block I) and hydrothermal vein (ore block II), and their orebodies are hosted mainly in the Lower Permian Zhesi Formation. The hydrothermal mineralization is classified into two metallogenic periods: skarn (stage 1) and sulfide (stages 2, 3, and 4). The skarn period affected only the ore block I, whereas the sulfide period similarly affected the two ore blocks. Fluid inclusion studies indicate that the ore-forming fluids during the early stage were medium- to high-temperature, high-salinity heterogeneous NaCl–H2O fluids, and that they eventually evolved to low-temperature, low-salinity homogeneous NaCl–H2O fluids by late stage. Studies of the hydrogen and oxygen isotope compositions (δ18OH2O = −13.85‰ to 3.95‰, δDH2O = −132.8‰ to −102.7‰) show that the ore-forming fluids gradually evolved from magmatic water to meteoric water. Sulfur and lead date suggest that the ore-forming materials were probably derived from deep magma and the Permian strata. Although our data show that ore blocks I and II, in terms of genesis, were skarn- and medium- to low-temperature hydrothermal vein-types, respectively, the ore-forming fluids of both ore blocks were the same period, and the differences in mineralization type can be related to the wall rocks.
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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 | 0.001 |
| Scholarly communication | 0.001 | 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".