Energy for the 21st century: opportunities and challenges for liquefied natural gas (LNG)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Contents: Preface Introduction 1. The Role of Natural Gas and LNG in the 21st Century 2. The LNG Value Chain 3. The Evolution of LNG Markets and Primary Demand Regions 4. Global LNG Supply 5. Global LNG Demand and Emerging Demand Markets 6. The Globalization of LNG: The Evolution of LNG Trade, Pricing and Contracts 7. Safety and Environmental Sustainability of LNG 8. Global LNG Mega Projects and Players - Qatar and Australia 9. New Players and Projects - Russia, Peru, Yemen and Papua New Guinea 10. The Role of Shale Gas in the Golden Age of Gas 11. The Impact of Shale Gas on Global Gas Markets and the Prospects for US and Canadian LNG Exports 12. Emerging Issues in the LNG Industry Conclusion
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.
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 | 0.001 |
| 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 it