Bibliographic record
Abstract
From 2001-2012, international trade in natural gas increased by 86.4%, with LNG technology visibly growing in importance. In 2005, the share of LNG in the total turnover accounted for 26%, while in 2012 for 32%. In 2012, global natural gas consumption, compared to the previous year, increased by 2%, reaching 3.3 bcm. North America recorded a significant increase of 27.5% in the consumption of gas, whereas in EU countries the consumption of this fuel decreased by 2.3%. This paper examines how the share of natural gas in primary energy consumption has changed in the European and American markets; the role of this energy source has been strengthening in the US market (28.3% in 2011; 30.0% in 2012) while showing a slight decline in Europe (24.2% in 2011; 23.9% in 2012). The analysis also presents the changes that occurred in terms of dependency on gas imports in the US market, with natural gas imports decreasing due to the development of unconventional gas deposits. In comparison, in the European market lower gas recovery from domestic reserves has meant increased importance of gas imports, including LNG. The paper presents changes in natural gas prices in the European and American markets, along with the prices of LNG delivered to Japan. In addition, it reviews trends in natural gas prices for industrial consumers and households in Canada and the United States (where the ‘shale revolution’ has significantly affected a drop in prices), as well as in selected EU countries. Finally, the impact in recent years of the global natural gas market on the gas sector in Poland is examined. Highlighted are the actions undertaken to establish a competitive gas market.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".