Deep segregation-injection ore-forming process and metallogenetic model for magmatic Cu-Ni(PGE) sulfide deposits—Geological comparative study on two deposits exemplified by Voisey′s Bay (Canada) and Jinchuan(China)
Bibliographic record
Abstract
In this paper,geological and mineralization characteristics and metallogenetic model of Jinchuan Cu-Ni(PGE) magmatic sulfide deposit are systematically analysed and compared with Voisey`s Bay Cu-Ni(PGE) deposit(Canada),and the results show that the two world-class Cu-Ni(PGE) deposits have some common geological characteristics,and so,there are similarity and comparability on ore-forming and evaluation of the deposit.That means ore-bearing magma at depth pulsating invasion along the magma flow conduit results in a large deposit in upper magmatic room which appears it was generated from a small rock mass.Several key aspects of the characteristics on ore-forming process and metallogenetic model emerged as follows: i) ore-bearing magma pulsating invasion in sequence reveals that segregation and differentiation has occurred during primitive magma staying at a lower magmatic room and resulted in layering structure of magma,ore-bearing magma,sulfide-enriched magma and sulfide mass;ii)ore forming process occurs in a dynamic magma flow during pulsating invasion,melted magma mass contains volatile composition,acutely invasion results in brecciated wall rocks;iii) ore bearing magma invades along the same conduit or overpass to access to the bottom or upper part of the previous invasions to form ore body;ⅳ) magma interacts with wall rocks,exchanges some components and enrich metallogenetic materials during transportation.It is clarified that ore-bearing magma pulsating invasion and subsequent magma re-supply are very important ore-forming mechanism through which sulfide-bearing mafic-ultramafic magma assembles along the magma flowing conduit at depth to form super-larger Cu-Ni(PGE) magmatic sulfide deposits during the process of magmatic Ni-Cu sulfide deposits forming by injecting of sulfide-bearing magma segregated at depth.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".