date: 2021-11-12T09:40:44Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Analysis of a bistable climate toy model with physics-based machine learning methods xmp:CreatorTool: Springer access_permission:can_print_degraded: true subject: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-021-00175-0 pdfa:PDFVersion: A-2b xmpMM:History:Action: converted dc:format: application/pdf; version=1.6 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Springer access_permission:fill_in_form: true xmpMM:History:When: 2021-10-13T18:28:18Z pdf:encrypted: false dc:title: Analysis of a bistable climate toy model with physics-based machine learning methods modified: 2021-11-12T09:40:44Z cp:subject: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-021-00175-0 xmpMM:History:SoftwareAgent: pdfToolbox pdf:docinfo:custom:CrossMarkDomains[1]: springer.com robots: noindex pdf:docinfo:subject: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-021-00175-0 xmpMM:History:InstanceID: uuid:e122c56b-0617-4901-bfc9-760a3a6344e3 pdf:docinfo:creator: Maximilian Gelbrecht meta:author: Valerio Lucarini meta:creation-date: 2021-06-11T16:17:43Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: Fri Jun 11 18:17:43 CEST 2021 access_permission:extract_for_accessibility: true Creation-Date: 2021-06-11T16:17:43Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1140/epjs/s11734-021-00175-0 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Valerio Lucarini CrossmarkDomainExclusive: true doi: 10.1140/epjs/s11734-021-00175-0 dc:description: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-021-00175-0 access_permission:modify_annotations: true dc:creator: Valerio Lucarini description: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-021-00175-0 dcterms:created: 2021-06-11T16:17:43Z Last-Modified: 2021-11-12T09:40:44Z dcterms:modified: 2021-11-12T09:40:44Z title: Analysis of a bistable climate toy model with physics-based machine learning methods xmpMM:DocumentID: uuid:75e1039c-16a6-4ecf-94d6-39b2eb1793bc Last-Save-Date: 2021-11-12T09:40:44Z CrossMarkDomains[1]: springer.com pdf:docinfo:modified: 2021-11-12T09:40:44Z meta:save-date: 2021-11-12T09:40:44Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Valerio Lucarini pdfaid:conformance: B access_permission:assemble_document: true xmpTPg:NPages: 11 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: springerlink.com access_permission:can_modify: true pdf:docinfo:created: 2021-06-11T16:17:43Z CrossmarkMajorVersionDate: 2010-04-23