date: 2024-07-19T12:36:58Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Causal hybrid modeling with double machine learning?applications in carbon flux modeling xmp:CreatorTool: IOPP access_permission:can_print_degraded: true subject: Machine Learning: Science and Technology, 5 (2024) 035021. doi: 10.1088/2632-2153/ad5a60 language: dc:format: application/pdf; version=1.7 pdf:docinfo:creator_tool: IOPP access_permission:fill_in_form: true pdf:encrypted: false dc:title: Causal hybrid modeling with double machine learning?applications in carbon flux modeling modified: 2024-07-19T12:36:58Z cp:subject: Machine Learning: Science and Technology, 5 (2024) 035021. doi: 10.1088/2632-2153/ad5a60 pdf:docinfo:subject: Machine Learning: Science and Technology, 5 (2024) 035021. doi: 10.1088/2632-2153/ad5a60 pdf:docinfo:creator: Kai-Hendrik Cohrs,Gherardo Varando,Nuno Carvalhais,Markus Reichstein,Gustau Camps-Valls meta:author: Kai-Hendrik Cohrs,Gherardo Varando,Nuno Carvalhais,Markus Reichstein,Gustau Camps-Valls meta:creation-date: 2024-07-16T16:07:00Z created: 2024-07-16T16:07:00Z access_permission:extract_for_accessibility: true Creation-Date: 2024-07-16T16:07:00Z Author: Kai-Hendrik Cohrs,Gherardo Varando,Nuno Carvalhais,Markus Reichstein,Gustau Camps-Valls producer: XeLaTeX; modified using iText® 5.5.13.3 ©2000-2022 iText Group NV (AGPL-version) pdf:docinfo:producer: XeLaTeX; modified using iText® 5.5.13.3 ©2000-2022 iText Group NV (AGPL-version) pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Machine Learning: Science and Technology, 5 (2024) 035021. doi: 10.1088/2632-2153/ad5a60 Keywords: knowledge-guided machine learning,hybrid modeling,causal effect estimation,double machine learning,temperature sensitivity,carbon flux partitioning access_permission:modify_annotations: true dc:creator: Kai-Hendrik Cohrs,Gherardo Varando,Nuno Carvalhais,Markus Reichstein,Gustau Camps-Valls description: Machine Learning: Science and Technology, 5 (2024) 035021. doi: 10.1088/2632-2153/ad5a60 dcterms:created: 2024-07-16T16:07:00Z Last-Modified: 2024-07-19T12:36:58Z dcterms:modified: 2024-07-19T12:36:58Z title: Causal hybrid modeling with double machine learning?applications in carbon flux modeling xmpMM:DocumentID: uuid:626cea3e-f7ae-4aef-97f2-bb188d1333ea Last-Save-Date: 2024-07-19T12:36:58Z pdf:docinfo:keywords: knowledge-guided machine learning,hybrid modeling,causal effect estimation,double machine learning,temperature sensitivity,carbon flux partitioning pdf:docinfo:modified: 2024-07-19T12:36:58Z meta:save-date: 2024-07-19T12:36:58Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Kai-Hendrik Cohrs,Gherardo Varando,Nuno Carvalhais,Markus Reichstein,Gustau Camps-Valls dc:language: dc:subject: knowledge-guided machine learning,hybrid modeling,causal effect estimation,double machine learning,temperature sensitivity,carbon flux partitioning access_permission:assemble_document: true xmpTPg:NPages: 22 pdf:charsPerPage: 3441 access_permission:extract_content: true access_permission:can_print: true meta:keyword: knowledge-guided machine learning,hybrid modeling,causal effect estimation,double machine learning,temperature sensitivity,carbon flux partitioning access_permission:can_modify: true pdf:docinfo:created: 2024-07-16T16:07:00Z