The basic characteristics of the gold deposits in Archean greenstone belts of Shuangshanzi
Bibliographic record
Abstract
This paper introduces the basic characteristics in Archean greenstone belts of Shuangshanzi,and points out there are many similarities between Shuangshanzi greenstone belts and Canadian Abitibi greenstone belts.Three different types of gold deposits in greenstone belts possess major geological features respectively.Early gold-bearing quartz veins are the product of Archean,it's typical gold deposit of the Archean greenstone belts in the eastern Hebei province.Arsenopyrite type gold deposits may be the most terminal product of Archean.Late quartz vein type gold deposits formed in stage of Yanshan.In about 30 km long ore belts from south to north,there are intermittent distribution of gold deposits or gold mineralization spots,the range of three metallogenic phases are roughly consistent and correspond with the three big As、Sb anomalies.The above indicate that three phases of gold mineralization often show phenomenon of superposition,and presume that there is a concealed or transformed deep and large ore-controlling faults in the eastern part of greenstone belts since Archean times.Along greenstone belts gold mineralization took place many times from Archean to Mesozoic.It is believed that the geological features of mineralization in greenstone belts have important guiding significance for searching gold deposits in this region.Confirmation of whether there is the bigger lens or the dense lenses in sericite-quartz schist belts of Yingwushan-Xihangou,whether there are still Yanshan period gold deposits to be discovered,are particularly noteworthy in prospecting in 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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".