Investigation on the Development Status and Strategies about Oil and Gas of Neighboring Countries in the Arctic
Bibliographic record
Abstract
Russia, USA, Denmark, Norway, and Canada are Arctic neighboring countries which are engaged in the development of Arctic oil and gas.Especially, Russia has the largest Arctic Exploration and Production (E&P) market, and its Arctic shelf holds large oil and gas potential.The other countries also make efforts to develop oil and gas in the Arctic circle, improving a policy and system, bidding an oil and gas field, and accelerating E&P activities.As of 2011, South Korea depends on oil imports by 100% as the 5th oil importing country and 10th oil consumer in the world.There is until considerable uncertainty about future energy supplies.One of the methods to overcome this situation is to participate in polar E&P.In this paper, an analysis of E&P strategies of each country is presented, and the current status of oil and gas development in the Arctic Circle is investigated.It will be utilized in establishing development strategies in the Arctic region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".