date: 2022-08-11T10:57:09Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Causality guided machine learning model on wetland CH4 emissions across global wetlands xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Agricultural and Forest Meteorology, 324 (2022) 109115. doi:10.1016/j.agrformet.2022.109115 dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 11th August 2022 pdf:encrypted: false dc:title: Causality guided machine learning model on wetland CH4 emissions across global wetlands modified: 2022-08-11T10:57:09Z cp:subject: Agricultural and Forest Meteorology, 324 (2022) 109115. doi:10.1016/j.agrformet.2022.109115 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Agricultural and Forest Meteorology, 324 (2022) 109115. doi:10.1016/j.agrformet.2022.109115 pdf:docinfo:creator: Kunxiaojia Yuan meta:author: Qing Zhu meta:creation-date: 2022-08-11T10:34:25Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: Thu Aug 11 12:34:25 CEST 2022 access_permission:extract_for_accessibility: true Creation-Date: 2022-08-11T10:34:25Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0 pdf:docinfo:custom:doi: 10.1016/j.agrformet.2022.109115 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Qing Zhu producer: Acrobat Distiller 8.1.0 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 11th August 2022 doi: 10.1016/j.agrformet.2022.109115 dc:description: Agricultural and Forest Meteorology, 324 (2022) 109115. doi:10.1016/j.agrformet.2022.109115 Keywords: Eddy covariance CH4 emission,Wetlands,Causal inference,Machine learning access_permission:modify_annotations: true dc:creator: Qing Zhu description: Agricultural and Forest Meteorology, 324 (2022) 109115. doi:10.1016/j.agrformet.2022.109115 dcterms:created: 2022-08-11T10:34:25Z Last-Modified: 2022-08-11T10:57:09Z dcterms:modified: 2022-08-11T10:57:09Z title: Causality guided machine learning model on wetland CH4 emissions across global wetlands xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2022-08-11T10:57:09Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Eddy covariance CH4 emission,Wetlands,Causal inference,Machine learning pdf:docinfo:modified: 2022-08-11T10:57:09Z meta:save-date: 2022-08-11T10:57:09Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Qing Zhu dc:subject: Eddy covariance CH4 emission,Wetlands,Causal inference,Machine learning pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0 access_permission:assemble_document: true xmpTPg:NPages: 10 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Eddy covariance CH4 emission,Wetlands,Causal inference,Machine learning access_permission:can_modify: true pdf:docinfo:created: 2022-08-11T10:34:25Z CrossmarkMajorVersionDate: 2010-04-23