Global demand dynamics will keep oil price low
Bibliographic record
Abstract
Significance This would feed an already oversupplied market, exacerbating the contango market structure, with prices for future delivery exceeding spot rates. Prices have not returned to their January low thanks to strong US demand, as consumers capitalise on lower prices. Elsewhere, the picture is weaker. OPEC expects global oil demand to grow by an average 1.17 million barrels per day (b/d) to 92.45 million b/d in 2015. Impacts The United States will be the leading contributor to projected OECD demand growth, as lower prices boost economic activity. Weaker-than-expected Asian demand and product stock-builds in the first quarter of 2015 will curtail demand ahead. The pace of China's imports will decelerate as its storage approaches its limits. India and Indonesia might have replaced China's demand volumes, but they have abolished subsidies, holding back demand growth. The EU is unlikely to support global demand growth, at least in the short term.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".