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  Double machine learning for causal hybrid modeling - applications in the earth sciences

Cohrs, K.-H., Varando, G., Camps-Valls, G., Carvalhais, N., & Reichstein, M. (2024). Double machine learning for causal hybrid modeling - applications in the earth sciences. arXiv. doi:10.48550/arXiv.2402.13332.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-75D7-C Version Permalink: https://hdl.handle.net/21.11116/0000-000E-7CBD-3
Genre: Preprint

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 Creators:
Cohrs, Kai-Hendrik, Author
Varando, Gherardo, Author
Camps-Valls, Gustau, Author
Carvalhais, Nuno1, Author           
Reichstein, Markus2, Author                 
Affiliations:
1Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
2Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Dates: 2024-02-232024-02
 Publication Status: Published online
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 Rev. Type: No review
 Identifiers: Other: BGC4502
DOI: 10.48550/arXiv.2402.13332
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Project name : USMILE
Grant ID : 855187
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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