{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101007595:participant:999512930",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999512930",
      "id": "claim:funding:101007595:999512930",
      "relation": "participates_in",
      "to": "cordis:101007595"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101007595:participant:999974747",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999974747",
      "id": "claim:funding:101007595:999974747",
      "relation": "participates_in",
      "to": "cordis:101007595"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:5b949240392472409297e369",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:5b949240392472409297e369",
      "relation": "has_observed_output",
      "to": "output:5b949240392472409297e369"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:8b97b9a6f63912dd84530630",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:8b97b9a6f63912dd84530630",
      "relation": "has_observed_output",
      "to": "output:8b97b9a6f63912dd84530630"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:9571742fe60a49dcbd351192",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:9571742fe60a49dcbd351192",
      "relation": "has_observed_output",
      "to": "output:9571742fe60a49dcbd351192"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:9792a5e2576bbdf3a62af484",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:9792a5e2576bbdf3a62af484",
      "relation": "has_observed_output",
      "to": "output:9792a5e2576bbdf3a62af484"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:a5333f11578446c44562cdf6",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:a5333f11578446c44562cdf6",
      "relation": "has_observed_output",
      "to": "output:a5333f11578446c44562cdf6"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:b6efae81fe5a9307a8356600",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:b6efae81fe5a9307a8356600",
      "relation": "has_observed_output",
      "to": "output:b6efae81fe5a9307a8356600"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:cd3b252acb5a4abc7af99d36",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:cd3b252acb5a4abc7af99d36",
      "relation": "has_observed_output",
      "to": "output:cd3b252acb5a4abc7af99d36"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101007595:output:fc20c7f6dd2b4213db52b193",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      "evidenceClass": "exact",
      "from": "cordis:101007595",
      "id": "edge:project-output:101007595:fc20c7f6dd2b4213db52b193",
      "relation": "has_observed_output",
      "to": "output:fc20c7f6dd2b4213db52b193"
    }
  ],
  "entity": {
    "attributes": {
      "acronym": "ADDOPTML",
      "code": "101007595",
      "endDate": "2025-04-30",
      "frameworkProgramme": "H2020",
      "funding": {
        "currency": "EUR",
        "germanNetEuContributionCents": "25760000",
        "participantEdgeCount": 2,
        "status": "linked"
      },
      "knowledgeFlow": null,
      "research": {
        "citationDataOutputCount": 98,
        "citedOutputCount": 47,
        "firstPublicationDate": "2021-09-01",
        "lastPublicationDate": "2025-11-30",
        "openAccessOutputCount": 94,
        "outputCount": 98,
        "status": "linked",
        "totalCitations": 728,
        "typeCounts": {
          "dataset": 0,
          "other": 2,
          "publication": 96,
          "software": 0
        }
      },
      "startDate": "2021-05-01"
    },
    "description": "ADDitively Manufactured OPTimized Structures by means of Machine Learning",
    "edgeCount": 10,
    "id": "cordis:101007595",
    "indexable": true,
    "label": "ADDOPTML · ADDitively Manufactured OPTimized Structures by means of Machine Learning",
    "links": [
      {
        "kind": "official_source",
        "label": "CORDIS",
        "url": "https://cordis.europa.eu/project/id/101007595"
      },
      {
        "kind": "local_dossier",
        "label": "KI-Innovationspfad",
        "url": "/tools/ki-innovationspfad/?project=101007595"
      }
    ],
    "slug": "project-cordis-101007595-372e96c2",
    "sourceRefs": [
      {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_id",
        "sourceId": "cordis:101007595",
        "url": "https://cordis.europa.eu/project/id/101007595"
      }
    ],
    "type": "project"
  },
  "fingerprint": "sha256:f55fb3a98588f52386be966ab90c525e7e8f8247e3ef236aa867d9a06a57cf74",
  "generatedAt": "2026-10-01T08:35:18.410Z",
  "neighbors": [
    {
      "attributes": {
        "aliases": [
          "RISA SICHERHEITSANALYSEN GMBH"
        ],
        "identifiers": [
          {
            "scheme": "cordis-pic",
            "value": "999512930"
          }
        ],
        "identityBasis": "official_identifier",
        "kind": "organization",
        "lanes": [
          "funding"
        ],
        "roles": [
          "funding_participant"
        ]
      },
      "edgeCount": 6,
      "id": "actor:cordis-pic:999512930",
      "indexable": true,
      "label": "RISA SICHERHEITSANALYSEN GMBH",
      "links": [
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101003518"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101007595"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101069941"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/687384"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/740610"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/767625"
        }
      ],
      "slug": "actor-cordis-pic-999512930-01ac51bc",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "official_identifier",
          "recordCount": 6,
          "sourceId": "cordis:101003518:participant:999512930",
          "url": "https://cordis.europa.eu/project/id/101003518"
        }
      ],
      "type": "actor"
    },
    {
      "attributes": {
        "aliases": [
          "UNIVERSITY OF STUTTGART"
        ],
        "identifiers": [
          {
            "scheme": "cordis-pic",
            "value": "999974747"
          }
        ],
        "identityBasis": "official_identifier",
        "kind": "organization",
        "lanes": [
          "funding"
        ],
        "roles": [
          "funding_participant"
        ]
      },
      "edgeCount": 17,
      "id": "actor:cordis-pic:999974747",
      "indexable": true,
      "label": "UNIVERSITY OF STUTTGART",
      "links": [
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101007595"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101061359"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101123150"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101161103"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101215032"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101226762"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101226960"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101250265"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/639211"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/654984"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/766069"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/813999"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/833418"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/862893"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/865855"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/951732"
        }
      ],
      "slug": "actor-cordis-pic-999974747-b24fe1e5",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "official_identifier",
          "recordCount": 16,
          "sourceId": "cordis:101007595:participant:999974747",
          "url": "https://cordis.europa.eu/project/id/101007595"
        }
      ],
      "type": "actor"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": false,
        "openAireId": "doi_dedup___::40e321789eaddc5325225570adc531a0",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1007/978-981-96-0994-9_24"
          },
          {
            "scheme": "handle",
            "value": "11583/3001231"
          }
        ],
        "publicationDate": "2025-01-01"
      },
      "edgeCount": 1,
      "id": "output:5b949240392472409297e369",
      "indexable": true,
      "label": "Onset Time Detection of Acoustic Emission Signals for Structural Monitoring with Deep Learning",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A40e321789eaddc5325225570adc531a0"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1007/978-981-96-0994-9_24",
          "url": "https://doi.org/10.1007/978-981-96-0994-9_24"
        }
      ],
      "slug": "output-5b949240392472409297e369-662de652",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::40e321789eaddc5325225570adc531a0",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A40e321789eaddc5325225570adc531a0"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 11,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::7251f4a899c930163da54a2628ff194a",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1016/j.istruc.2025.108355"
          },
          {
            "scheme": "handle",
            "value": "11583/2997583"
          }
        ],
        "publicationDate": "2025-03-01"
      },
      "edgeCount": 1,
      "id": "output:8b97b9a6f63912dd84530630",
      "indexable": true,
      "label": "High Damping Rubber Bearings: Optimal models evaluation considering production variability",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A7251f4a899c930163da54a2628ff194a"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1016/j.istruc.2025.108355",
          "url": "https://doi.org/10.1016/j.istruc.2025.108355"
        }
      ],
      "slug": "output-8b97b9a6f63912dd84530630-fadb4a86",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::7251f4a899c930163da54a2628ff194a",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A7251f4a899c930163da54a2628ff194a"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::53c801c7e3c0a18356d8d4fcbb6e3e77",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.15294109"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.15294110"
          }
        ],
        "publicationDate": "2025-04-28"
      },
      "edgeCount": 1,
      "id": "output:9571742fe60a49dcbd351192",
      "indexable": true,
      "label": "Solutions for Post-Disaster Sheltering, Application of 3D Printed Concrete Shelter. Design, Development and Construction.",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A53c801c7e3c0a18356d8d4fcbb6e3e77"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.15294109",
          "url": "https://doi.org/10.5281/zenodo.15294109"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.15294110",
          "url": "https://doi.org/10.5281/zenodo.15294110"
        }
      ],
      "slug": "output-9571742fe60a49dcbd351192-e3cfa99d",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::53c801c7e3c0a18356d8d4fcbb6e3e77",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A53c801c7e3c0a18356d8d4fcbb6e3e77"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": false,
        "openAireId": "doi_dedup___::5a3f7177c65fbc3882cd17823c06c8f3",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1007/978-3-031-92029-5_29"
          },
          {
            "scheme": "handle",
            "value": "11583/3001769"
          }
        ],
        "publicationDate": "2025-01-01"
      },
      "edgeCount": 1,
      "id": "output:9792a5e2576bbdf3a62af484",
      "indexable": true,
      "label": "Cost-Effective and Constructible Gridshell Design Through the Fusion of Form-Finding and Evolutionary Algorithms",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A5a3f7177c65fbc3882cd17823c06c8f3"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1007/978-3-031-92029-5_29",
          "url": "https://doi.org/10.1007/978-3-031-92029-5_29"
        }
      ],
      "slug": "output-9792a5e2576bbdf3a62af484-6510076b",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::5a3f7177c65fbc3882cd17823c06c8f3",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A5a3f7177c65fbc3882cd17823c06c8f3"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::6abc126fd445437e59091380ba9c4193",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1007/978-3-031-92029-5_8"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.14557316"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.14557317"
          }
        ],
        "publicationDate": "2025-01-01"
      },
      "edgeCount": 1,
      "id": "output:a5333f11578446c44562cdf6",
      "indexable": true,
      "label": "Evaluating the Structural Performance of 3D Printed FRCC Beams with Anchoring Reinforcement: Material, Geometry, and Loading Perspectives",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A6abc126fd445437e59091380ba9c4193"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1007/978-3-031-92029-5_8",
          "url": "https://doi.org/10.1007/978-3-031-92029-5_8"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.14557316",
          "url": "https://doi.org/10.5281/zenodo.14557316"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.14557317",
          "url": "https://doi.org/10.5281/zenodo.14557317"
        }
      ],
      "slug": "output-a5333f11578446c44562cdf6-6aea7396",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::6abc126fd445437e59091380ba9c4193",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A6abc126fd445437e59091380ba9c4193"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_________::6b3ba750836dcce997eed9255bf08410",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.59038/jjmie/190115"
          }
        ],
        "publicationDate": "2025-03-01"
      },
      "edgeCount": 1,
      "id": "output:b6efae81fe5a9307a8356600",
      "indexable": true,
      "label": "A Five-Point-Scale Group Fuzzy-TOPSIS Contractor Selection Model Considering Minimum Expectations",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3A6b3ba750836dcce997eed9255bf08410"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.59038/jjmie/190115",
          "url": "https://doi.org/10.59038/jjmie/190115"
        }
      ],
      "slug": "output-b6efae81fe5a9307a8356600-fb482f84",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_________::6b3ba750836dcce997eed9255bf08410",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3A6b3ba750836dcce997eed9255bf08410"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 9,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::639693bd7132e969a98ce3fe51207a73",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1016/j.jobe.2025.112177"
          },
          {
            "scheme": "handle",
            "value": "11583/2999896"
          }
        ],
        "publicationDate": "2025-06-01"
      },
      "edgeCount": 1,
      "id": "output:cd3b252acb5a4abc7af99d36",
      "indexable": true,
      "label": "Performance-based optimization of steel exoskeletons: An alternative approach to standard regulations",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A639693bd7132e969a98ce3fe51207a73"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1016/j.jobe.2025.112177",
          "url": "https://doi.org/10.1016/j.jobe.2025.112177"
        }
      ],
      "slug": "output-cd3b252acb5a4abc7af99d36-eac8fcee",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::639693bd7132e969a98ce3fe51207a73",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A639693bd7132e969a98ce3fe51207a73"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_________::c18161b35c4d310464ad8e87e5b285f9",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.30958/ajte.12-4-4"
          }
        ],
        "publicationDate": "2025-11-30"
      },
      "edgeCount": 1,
      "id": "output:fc20c7f6dd2b4213db52b193",
      "indexable": true,
      "label": "Impact of GFRP Reinforcement Ratios on the Behavior Full-scale Concrete Bridge Deck Slabs",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3Ac18161b35c4d310464ad8e87e5b285f9"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.30958/ajte.12-4-4",
          "url": "https://doi.org/10.30958/ajte.12-4-4"
        }
      ],
      "slug": "output-fc20c7f6dd2b4213db52b193-c5f83c72",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_________::c18161b35c4d310464ad8e87e5b285f9",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3Ac18161b35c4d310464ad8e87e5b285f9"
        }
      ],
      "type": "output"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}