Metallogenic Mechanism of the North Qinhang Belt, South China, from Gravity and Magnetic Inversions
Bibliographic record
Abstract
Summary Qin—Hang metallogenic belt are famous tectonic units and important rich mineral resources in south China. Due to few geophysical data, there was previously lack of comprehensive geophysical research in this area. In this paper, based on priori geological information and exploration data, regional structures are divided and volcanic rocks are delineated, even the deep dynamic process and mineralization mechanism have been speculated from gravity and magnetic data inversion. The boundary between Cathaysia plate and the Yangtze plate, and five geological blocks, even major fractures can be identified, which is the main channel of magma upwelling. Some deep and large faults control magmatic activity, and those secondary faults control regional mineralization. Negative gravity anomaly can be used as a basis for searching magmatic rocks. Here abundant basic - ultrabasic magma in 220~250 Ma period, is the result of lithosphere stretching, thinning and mantle upwelling. It is a vital metallogenic mechanism in the belt that ancient subduction zone after modification or superimposed mineralization in yanshan epoch. Further, the “proterozoic + Mesozoic” bimodal age phenomenon of porphyry and its associated ore deposits in this region can be confirmed.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".