Bibliographic record
Abstract
tables 1.1 Natural gas import price assumptions by scenario 27 2.1 liquefaction capacity by country, 2011 38 4.1 worldwide natural gas proved reserves -select countries 93 4.2 lNg production capacity added 2010-11 94 4.3 lNg production capacity added 2011-17 95 5.1 gas fields under development in iraq 135 6.1 re-exports of lNg cargoes, 2011 156 7.1 life-cycle emissions of coal power plants and lNg 185 7.2 life stages of fuel for gHg emissions assessment 191 7.3 Example scenarios of australian-global emissions relationship for lNg 192 8.1 Qatargas and rasgas lNg projects 208 8.2 Japan's receiving terminals for Qatargas imports 210 8.3 Emerging australian lNg projects 235 9.1 sakhalin project summary 253 10.1 Canada's gas in place resources 295 10.2Canada's estimated marketable gas resources 296 10.3 Country listing of technically recoverable shale gas resources 302 11.1 world's top ten natural gas producers, 2005-11 327 11.2 shale spreads 329 12.1 Cheniere's sabine Pass liquefaction project milestones 369 12.2 study-by-study comparison of the average price impact from Us lNg exports, 2015-35 375 12.3 typical economics of an lNg truck in the Us in the absence of tax credits and subsidies 406
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".