[{"data":1,"prerenderedAt":92},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-ec6126f364b80f13a3139650-7af84eb4":3},{"edges":4,"entity":16,"fingerprint":45,"generatedAt":46,"neighbors":47,"schemaVersion":91},[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","101095556:output:ec6126f364b80f13a3139650","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101095556","exact","cordis:101095556","edge:project-output:101095556:ec6126f364b80f13a3139650","has_observed_output","output:ec6126f364b80f13a3139650",{"attributes":17,"edgeCount":18,"id":15,"indexable":19,"label":30,"links":31,"slug":40,"sourceRefs":41,"type":44},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":29},1,true,"doi_dedup___::07b74e734935651016b4d056e87b3daa","publication",[23,26],{"scheme":24,"value":25},"arXiv","2501.10289",{"scheme":27,"value":28},"doi","10.48550\u002Farxiv.2501.10289","2025-01-01","Cheap Subsampling bootstrap confidence intervals for fast and robust inference",[32,36],{"kind":33,"label":34,"url":35},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A07b74e734935651016b4d056e87b3daa",{"kind":37,"label":38,"url":39},"persistent_identifier","DOI 10.48550\u002Farxiv.2501.10289","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2501.10289","output-ec6126f364b80f13a3139650-7af84eb4",[42],{"dataset":7,"field":43,"sourceId":20,"url":35},"openaire_research_product_id","output","sha256:9916bfc7d6dc57df2bad614d50311acc281deaac033958da30f8454a7adbac47","2026-11-12T09:00:31.263Z",[48],{"attributes":49,"description":76,"edgeCount":74,"id":12,"indexable":19,"label":77,"links":78,"slug":85,"sourceRefs":86,"type":90},{"acronym":50,"code":51,"endDate":52,"frameworkProgramme":53,"funding":54,"knowledgeFlow":59,"research":66,"startDate":75},"REDDIE","101095556","2026-12-31","HORIZON",{"currency":55,"germanNetEuContributionCents":56,"participantEdgeCount":57,"status":58},"EUR","80289000",2,"linked",{"citingCountryCount":60,"citingInstitutionCount":61,"distinctCitingWorkCount":62,"firstObservedCitationDate":63,"lastObservedCitationDate":64,"observedCitationEdgeCount":62,"status":65},14,111,20,"2025-05-22","2026-10-19","full_input_observation",{"citationDataOutputCount":67,"citedOutputCount":68,"firstPublicationDate":69,"lastPublicationDate":70,"openAccessOutputCount":67,"outputCount":67,"status":58,"totalCitations":71,"typeCounts":72},10,5,"2024-01-01","2025-10-06",11,{"dataset":73,"other":18,"publication":74,"software":73},0,9,"2023-01-01","Real-world evidence for decisions in diabetes","REDDIE · Real-world evidence for decisions in diabetes",[79,81],{"kind":33,"label":80,"url":10},"CORDIS",{"kind":82,"label":83,"url":84},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101095556","project-cordis-101095556-90f87a92",[87],{"dataset":88,"field":89,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1794474544201]