Investigating greenhouse gas emission pathways In selected OECD countries using a hybrid energy-economy approach
Bibliographic record
Abstract
This report outlines the development and analysis of CIMS OECD-EPM. CIMS OECD-EPM is a hybrid energy-economy model that forecasts energy consumption and GHG emissions in 28 OECD countries from 2005 to 2050. In the absence of climate change mitigation policy, growth forecasts for energy consumption and GHG emissions are moderate, far below that projected for non-OECD regions. With its unique framework, which incorporates technological detail, macroeconomic feedbacks and behavioural realism, CIMS OECD-EPM is used to simulate the impact of abatement policies on the region. Initial results suggest that significant emission reductions can be achieved. Development of carbon capture and storage, nuclear and energy-efficient technologies in the electricity and industrial sectors are the primary drivers of abatement in the region. Overall, abatement activity in OECD-EPM is likely to be more costly than in other world regions; high marginal abatement costs and high levels of technological development limit incremental mitigation activity.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".