The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
EU emissions benefits
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Accurate HW forecasting at weather lead times (1-15 days) is crucial but remains challenging due to the complex interplay of large-scale atmospheric circulation, regional feedbacks, and local meteorological phenomena [1, 5, 6].”
From Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs (2024) · cites this paper as [6]
Citations
Cites
Jorgenson, A. K., Longhofer, W., Grant, D., Sie, A., & Giedraitis, V. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa650b · Cited by 13
Cited by
Broadening and Deepening the Presence of Environmental Sociology
Jorgenson, A. K. (2018) · Sociological Forum · doi:10.1111/socf.12465 · Cited by 10
Chishtie, F. A., Brunet, D., White, R. H., Michelson, D., Jiang, J., Lucas, V., Ruboonga, E., Imaash, S., Westland, M., Chui, T., et al. (2024) · arXiv · doi:10.48550/arxiv.2411.13496
Metadata
- Authors
- Graffeo, M.
- Corresponding author
- Graffeo, Michele
- ORCID
- Graffeo, Michele
- Venue
- Nature Climate Change
- Published
- 2017-05-31
- Volume
- 7
- Issue
- 6
- Pages
- 388-388
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2618264308
- Cited by
- 1
- References
- 1
- Citations by year
- 2018: 1
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable energy and sustainable power systems
- Keywords
- EU accession, CO2 emissions, electricity generation, fossil fuel power plants, international trade, emission reduction, EU environmental policy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: EU emissions benefits. https://app.cochat.ai/papers/10.1038/nclimate3312
- The paper
- Graffeo, M. (2017). EU emissions benefits. Nature Climate Change. https://doi.org/10.1038/nclimate3312
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
