[{"data":1,"prerenderedAt":82},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-0afce39654b4f0347708497a-0855d570":3},{"edges":4,"entity":16,"fingerprint":39,"generatedAt":40,"neighbors":41,"schemaVersion":81},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101003469:output:0afce39654b4f0347708497a","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101003469","exact","cordis:101003469","edge:project-output:101003469:0afce39654b4f0347708497a","has_observed_output","output:0afce39654b4f0347708497a",{"attributes":17,"edgeCount":27,"id":15,"indexable":19,"label":28,"links":29,"slug":34,"sourceRefs":35,"type":38},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":26},0,true,"od______2079::6772882c5b00187a8cde2ee83afd08b1","publication",[23],{"scheme":24,"value":25},"handle","10550\u002F118314","2025-01-01",1,"Regularization in Machine Learning: Advances for Earth Sciences",[30],{"kind":31,"label":32,"url":33},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fod______2079%3A%3A6772882c5b00187a8cde2ee83afd08b1","output-0afce39654b4f0347708497a-0855d570",[36],{"dataset":7,"field":37,"sourceId":20,"url":33},"openaire_research_product_id","output","sha256:245cd3792df147fa8a48c0f6c7df2d4eb14d59bd9e54a9c7a70756242a3f68d4","2026-10-01T08:35:18.410Z",[42],{"attributes":43,"description":65,"edgeCount":66,"id":12,"indexable":19,"label":67,"links":68,"slug":75,"sourceRefs":76,"type":80},{"acronym":44,"code":45,"endDate":46,"frameworkProgramme":47,"funding":48,"knowledgeFlow":53,"research":54,"startDate":64},"XAIDA","101003469","2026-02-28","H2020",{"currency":49,"germanNetEuContributionCents":50,"participantEdgeCount":51,"status":52},"EUR","131470500",6,"linked",null,{"citationDataOutputCount":55,"citedOutputCount":56,"firstPublicationDate":57,"lastPublicationDate":58,"openAccessOutputCount":59,"outputCount":55,"status":52,"totalCitations":60,"typeCounts":61},283,188,"2021-01-01","2026-03-18",262,4951,{"dataset":62,"other":18,"publication":59,"software":63},14,7,"2021-09-01","EXTREME EVENTS: ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION",57,"XAIDA · EXTREME EVENTS: ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION",[69,71],{"kind":31,"label":70,"url":10},"CORDIS",{"kind":72,"label":73,"url":74},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101003469","project-cordis-101003469-89a8641a",[77],{"dataset":78,"field":79,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790844170930]