11. Mechanical IJME The Challenges And Risks Of The Arctic Passages On Mohammed Hussein Egypt OPaid
Bibliographic record
Abstract
As a result of global warming and rise in temperature, the Arctic region witnessed melting of ice . The technological development for the extraction of oil and natural gas in the Arctic in addition to political instability and piracy in the Middle East pushed the Nordic countries (Germany , Russia and Canada ) to do research, studies and experiments to take advantage of these resources and to exploit the short distance to transfer trade between Western countries ( Europe, America and Canada ) to the east countries(Japan , China and South Korea ). Two German ships succeeded in September 2009 to sail from a port in South Korea to the Dutch Rotterdam port across the North Sea along the northern Russian border Northern Sea Route 2013, (Information Office), followed by the success of the Russian gas tanker « Baltika» to sail from the Russian city of Murmansk in the August 14, 2010 , to the Chinese city of Shanghai , accompanied by the nuclearicebreaker" 50 years of Victory" across a route inside the territorial waters of the coast of northern Russia from the Arctic Oceanc arrying 70 tons of gas condensate to be a substitute for the southern route through the Suez Canal . Projections indicate that the volume of trade passing across the Northern Sea Route NSR in 2015 to be 4 million tons and may reach to 65 million tons per year in 2020 and to 120 million tons in 2030 (Keil, 2014)
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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; both teacher heads agree on what is shown here.
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".