[{"data":1,"prerenderedAt":98},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-9d9f3a62f6b396e4792977de-81e3f12f":3},{"edges":4,"entity":16,"fingerprint":48,"generatedAt":49,"neighbors":50,"schemaVersion":97},[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","101086248:output:9d9f3a62f6b396e4792977de","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101086248","exact","cordis:101086248","edge:project-output:101086248:9d9f3a62f6b396e4792977de","has_observed_output","output:9d9f3a62f6b396e4792977de",{"attributes":17,"edgeCount":29,"id":15,"indexable":19,"label":30,"links":31,"slug":43,"sourceRefs":44,"type":47},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":28},0,true,"doi_dedup___::2bca311118eedf9cbee8dbb1d795b689","software",[23,26],{"scheme":24,"value":25},"doi","10.5281\u002Fzenodo.18262422",{"scheme":24,"value":27},"10.5281\u002Fzenodo.18262423","2026-01-15",1,"Online and Interactive Bayesian Inference Debugging",[32,36,40],{"kind":33,"label":34,"url":35},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A2bca311118eedf9cbee8dbb1d795b689",{"kind":37,"label":38,"url":39},"persistent_identifier","DOI 10.5281\u002Fzenodo.18262422","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18262422",{"kind":37,"label":41,"url":42},"DOI 10.5281\u002Fzenodo.18262423","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18262423","output-9d9f3a62f6b396e4792977de-81e3f12f",[45],{"dataset":7,"field":46,"sourceId":20,"url":35},"openaire_research_product_id","output","sha256:fa694f567ab4100f46d800998255b583fbff36f81ea11ddaf2469f729460eda1","2026-08-01T09:21:19.131Z",[51],{"attributes":52,"description":81,"edgeCount":82,"id":12,"indexable":19,"label":83,"links":84,"slug":91,"sourceRefs":92,"type":96},{"acronym":53,"code":54,"endDate":55,"frameworkProgramme":56,"funding":57,"knowledgeFlow":62,"research":70,"startDate":73},"CLOUDSTARS","101086248","2026-12-31","HORIZON",{"currency":58,"germanNetEuContributionCents":59,"participantEdgeCount":60,"status":61},"EUR","19780000",3,"linked",{"citingCountryCount":63,"citingInstitutionCount":64,"distinctCitingWorkCount":65,"firstObservedCitationDate":66,"lastObservedCitationDate":67,"observedCitationEdgeCount":68,"status":69},55,399,222,"2020-10-01","2026-07-27",246,"full_input_observation",{"citationDataOutputCount":71,"citedOutputCount":72,"firstPublicationDate":73,"lastPublicationDate":74,"openAccessOutputCount":75,"outputCount":71,"status":61,"totalCitations":76,"typeCounts":77},61,27,"2023-01-01","2026-05-01",50,181,{"dataset":78,"other":79,"publication":80,"software":78},2,9,48,"Cloud Open Source Research Mobility Network",15,"CLOUDSTARS · Cloud Open Source Research Mobility Network",[85,87],{"kind":33,"label":86,"url":10},"CORDIS",{"kind":88,"label":89,"url":90},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101086248","project-cordis-101086248-07021107",[93],{"dataset":94,"field":95,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1785576534382]