[{"data":1,"prerenderedAt":89},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-c7b63b581e5b3b33d84a2d69-f3b3c37b":3},{"edges":4,"entity":16,"fingerprint":41,"generatedAt":42,"neighbors":43,"schemaVersion":88},[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","945719:output:c7b63b581e5b3b33d84a2d69","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F945719","exact","cordis:945719","edge:project-output:945719:c7b63b581e5b3b33d84a2d69","has_observed_output","output:c7b63b581e5b3b33d84a2d69",{"attributes":17,"edgeCount":29,"id":15,"indexable":19,"label":30,"links":31,"slug":36,"sourceRefs":37,"type":40},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":28},2,true,"od______1874::7344cd8e661622acf15ec89190b79aba","publication",[23,26],{"scheme":24,"value":25},"handle","21.11116\u002F0000-000A-9932-1",{"scheme":24,"value":27},"21.11116\u002F0000-000A-9934-F","2022-01-01",1,"Provably Improving Expert Predictions with Prediction Sets",[32],{"kind":33,"label":34,"url":35},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fod______1874%3A%3A7344cd8e661622acf15ec89190b79aba","output-c7b63b581e5b3b33d84a2d69-f3b3c37b",[38],{"dataset":7,"field":39,"sourceId":20,"url":35},"openaire_research_product_id","output","sha256:3bdcef2667d9124b62319f2f37823bcede35259b58bda137dfb83d04fd489291","2026-10-01T04:36:13.695Z",[44],{"attributes":45,"description":73,"edgeCount":63,"id":12,"indexable":19,"label":74,"links":75,"slug":82,"sourceRefs":83,"type":87},{"acronym":46,"code":47,"endDate":48,"frameworkProgramme":49,"funding":50,"knowledgeFlow":54,"research":62,"startDate":72},"HumanML","945719","2025-10-31","H2020",{"currency":51,"germanNetEuContributionCents":52,"participantEdgeCount":29,"status":53},"EUR","149500000","linked",{"citingCountryCount":55,"citingInstitutionCount":56,"distinctCitingWorkCount":57,"firstObservedCitationDate":58,"lastObservedCitationDate":59,"observedCitationEdgeCount":60,"status":61},83,781,407,"2020-02-11","2026-09-24",414,"full_input_observation",{"citationDataOutputCount":63,"citedOutputCount":64,"firstPublicationDate":65,"lastPublicationDate":66,"openAccessOutputCount":63,"outputCount":63,"status":53,"totalCitations":67,"typeCounts":68},50,31,"2020-01-01","2025-06-06",370,{"dataset":69,"other":70,"publication":71,"software":69},0,6,44,"2020-11-01","Human-Centric Machine Learning","HumanML · Human-Centric Machine Learning",[76,78],{"kind":33,"label":77,"url":10},"CORDIS",{"kind":79,"label":80,"url":81},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=945719","project-cordis-945719-c2780852",[84],{"dataset":85,"field":86,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790829843422]