New Progress on the Exploration of the Important Mineral Resources of the Arctic Circle and Its Adjacent Region
Bibliographic record
Abstract
Arctic Circle and its adjacent region(ACAR)contain various abundant mineral deposits and therefore its mining exploration and development has been concerned by the international mining society for a long time.During the past hundred years,the ACAR has been one of the most important metallic resource suppliers to USA,Canada,Russia and European Union.Metals are produced from active mines in all countries of ACAR except Iceland and related industries are thriving in all countries.Important metallic mineral deposit types include volcanic massive sulfide copper-polymetallic deposit,magmatic Ni,PGE,Cr,Ti±V deposits,structure-related gold deposit,intrusion-related copper and gold deposit and sedimentary lead-zinc deposits.Besides these well-documented deposits,new type of deposits are being explored,e.g.,iron oxide-copper-gold(IOCG)and shale-hosted Ni-Zn-Cu deposits.With the recently discoveries of several world-class metallic deposits and the re-open of a number of old mines,the regional metallogenic studies and mineral exploration of the region has attracted attention from the international geologists.To carry out the idea of types of mining markets and two kinds of mineral in China,the ACAR will be one of the best choices.Although the ACAR is still a frontier area with great challenge for exploration and mining,the present high activity of exploration indicates that this area has a very broad prospecting.For a clearly understanding the potential of mineral resources in the ACAR,the present mineral exploration situation and basic geological features of the important mineral deposits have been summarized.Meanwhile,the geological setting and exploration potential have been discussed in this paper.The purpose of this work is to fill the knowledge gaps of our understanding on the potential of mineral resources of the ACAR.To better find new mineral deposits in the ACAR,we need more detailed studies both on regional metallogeny and individual deposit.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".