The role of carbon dioxide removal in net-zero emissions pledges
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
A number of countries – including major economies such as the UK, Canada, France, China, and Japan – have announced net-zero emissions pledges generally consistent with the IPCC's guidelines for 1.5 °C. As countries design strategies to achieve these pledges, decision-makers are faced with questions and issues related to the role of Carbon Dioxide Removal (CDR). This perspective highlights three issues. First, the scale of CDR deployment will determine the level of emission mitigation in the energy system and vice versa. Second, CDR will interact with societal priorities beyond climate. Finally, the location of CDR could have implications for the country-level pledges, and emissions trading. While these issues have been discussed in the literature in other contexts, this perspective highlights their importance for net-zero emissions strategies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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