Prospects for achieving carbon neutrality by economically developed countries
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
The prospects for achieving carbon neutrality by economically developed countries (USA, EU, Norway, Canada, Japan and Australia) are studied. An analysis of the structure of energy and land use in these countries is carried out. Scenario estimates of the dynamics of carbon indicators of the economies of the world’s leading countries have been developed. It is shown that the current rates of decarbonisation and development of the carbon capture and storage industry do not guarantee the achievement of climate neutrality by 2050, even in the world’s leading economies. A central challenge in achieving climate neutrality is the rapid and large-scale deployment of CCS in all its possible manifestations. All of the countries studied, except Japan, have their own capacity to store carbon for more than a hundred years. To achieve climate neutrality, the leading OECD countries will need to ensure the annual capture of at least 6 billion tons of CO2 by 2050, which is almost 25 times higher than their current capacities (operating, under construction and under design) Despite the fact that climate change occupies almost a leading place on the global agenda, the actual results of efforts in this area are far from declared. It is no longer realistic to keep warming within 1.5°C, and at the current rate of decarbonization, even by world leaders, the defense of the second critical frontier in 2°C will soon be threatened.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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