[{"data":1,"prerenderedAt":156},["ShallowReactive",2],{"ki-evidenznetz-dossier-project-cordis-101045765-51aad08d":3},{"edges":4,"entity":24,"fingerprint":69,"generatedAt":70,"neighbors":71,"schemaVersion":155},[5,16],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-innovation-path","cordis_project_code_and_participant_pic","cordis:101045765:participant:999841760","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101045765","exact","actor:cordis-pic:999841760","claim:funding:101045765:999841760","participates_in","cordis:101045765",{"evidence":17,"evidenceClass":11,"from":15,"id":21,"relation":22,"to":23},{"dataset":18,"field":19,"sourceId":20,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101045765:output:b1acf3ec0f8854829ac7be01","edge:project-output:101045765:b1acf3ec0f8854829ac7be01","has_observed_output","output:b1acf3ec0f8854829ac7be01",{"attributes":25,"description":52,"edgeCount":53,"id":15,"indexable":54,"label":55,"links":56,"slug":64,"sourceRefs":65,"type":68},{"acronym":26,"code":27,"endDate":28,"frameworkProgramme":29,"funding":30,"knowledgeFlow":35,"research":41,"startDate":51},"DeepLearning 2.0","101045765","2027-04-30","HORIZON",{"currency":31,"germanNetEuContributionCents":32,"participantEdgeCount":33,"status":34},"EUR","200000000",1,"linked",{"citingCountryCount":36,"citingInstitutionCount":37,"distinctCitingWorkCount":36,"firstObservedCitationDate":38,"lastObservedCitationDate":39,"observedCitationEdgeCount":36,"status":40},7,9,"2023-01-01","2025-03-20","bounded_observation",{"citationDataOutputCount":42,"citedOutputCount":43,"firstPublicationDate":44,"lastPublicationDate":45,"openAccessOutputCount":46,"outputCount":42,"status":34,"totalCitations":47,"typeCounts":48},50,30,"2022-01-01","2025-12-09",49,607,{"dataset":49,"other":36,"publication":50,"software":49},0,43,"2022-05-01","DeepLearning 2.0: Meta-Learning Qualitatively New Components",2,true,"DeepLearning 2.0 · DeepLearning 2.0: Meta-Learning Qualitatively New Components",[57,60],{"kind":58,"label":59,"url":10},"official_source","CORDIS",{"kind":61,"label":62,"url":63},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101045765","project-cordis-101045765-51aad08d",[66],{"dataset":7,"field":67,"sourceId":15,"url":10},"cordis_project_id","project","sha256:d10678617f2684d693479f42771252886b0044878cc5a4280a1b349ee7d603f2","2026-07-21T08:59:15.288Z",[72,120],{"attributes":73,"edgeCount":86,"id":12,"indexable":54,"label":75,"links":87,"slug":116,"sourceRefs":117,"type":119},{"aliases":74,"identifiers":76,"identityBasis":80,"kind":81,"lanes":82,"roles":84},[75],"ALBERT-LUDWIGS-UNIVERSITAET FREIBURG",[77],{"scheme":78,"value":79},"cordis-pic","999841760","official_identifier","organization",[83],"funding",[85],"funding_participant",14,[88,90,92,94,96,98,100,102,104,106,108,110,112,114],{"kind":89,"label":7,"url":10},"evidence_source",{"kind":89,"label":7,"url":91},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101058427",{"kind":89,"label":7,"url":93},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101169429",{"kind":89,"label":7,"url":95},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101187010",{"kind":89,"label":7,"url":97},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101224844",{"kind":89,"label":7,"url":99},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F645403",{"kind":89,"label":7,"url":101},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F688007",{"kind":89,"label":7,"url":103},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F716721",{"kind":89,"label":7,"url":105},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F721766",{"kind":89,"label":7,"url":107},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F787120",{"kind":89,"label":7,"url":109},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F820437",{"kind":89,"label":7,"url":111},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F871449",{"kind":89,"label":7,"url":113},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F899880",{"kind":89,"label":7,"url":115},"https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F953348","actor-cordis-pic-999841760-f3614471",[118],{"dataset":7,"field":80,"recordCount":86,"sourceId":9,"url":10},"actor",{"attributes":121,"edgeCount":33,"id":23,"indexable":54,"label":135,"links":136,"slug":150,"sourceRefs":151,"type":154},{"citationCount":33,"isOpenAccess":54,"openAireId":122,"outputType":123,"persistentIdentifiers":124,"publicationDate":45},"doi_dedup___::25e3ee0c3dd354b5388511863e7cb309","publication",[125,128,131,133],{"scheme":126,"value":127},"arXiv","2203.01717",{"scheme":129,"value":130},"doi","10.1145\u002F3745771",{"scheme":129,"value":132},"10.48550\u002Farxiv.2203.01717",{"scheme":129,"value":134},"10.5445\u002Fir\u002F1000182626","Practitioner Motives to Use Different Hyperparameter Optimization Methods",[137,140,144,147],{"kind":58,"label":138,"url":139},"OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A25e3ee0c3dd354b5388511863e7cb309",{"kind":141,"label":142,"url":143},"persistent_identifier","DOI 10.1145\u002F3745771","https:\u002F\u002Fdoi.org\u002F10.1145\u002F3745771",{"kind":141,"label":145,"url":146},"DOI 10.48550\u002Farxiv.2203.01717","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2203.01717",{"kind":141,"label":148,"url":149},"DOI 10.5445\u002Fir\u002F1000182626","https:\u002F\u002Fdoi.org\u002F10.5445\u002Fir\u002F1000182626","output-b1acf3ec0f8854829ac7be01-b2b620ae",[152],{"dataset":18,"field":153,"sourceId":122,"url":139},"openaire_research_product_id","output","ki-evidenznetz.entity.v1",1784624725790]