{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101058516:output:07ef54a6735259299077440a",
        "url": "https://cordis.europa.eu/project/id/101058516"
      },
      "evidenceClass": "exact",
      "from": "cordis:101058516",
      "id": "edge:project-output:101058516:07ef54a6735259299077440a",
      "relation": "has_observed_output",
      "to": "output:07ef54a6735259299077440a"
    }
  ],
  "entity": {
    "attributes": {
      "citationCount": 4,
      "isOpenAccess": true,
      "openAireId": "doi_dedup___::60c257422c4e7f3ff8ed963537678939",
      "outputType": "publication",
      "persistentIdentifiers": [
        {
          "scheme": "doi",
          "value": "10.1016/j.biopsych.2025.09.003"
        },
        {
          "scheme": "pmid",
          "value": "40946889"
        }
      ],
      "publicationDate": "2025-09-01"
    },
    "edgeCount": 1,
    "id": "output:07ef54a6735259299077440a",
    "indexable": true,
    "label": "Overview of Challenges in Brain-Based Predictive Modeling: Toward Meaningful Predictive Insights",
    "links": [
      {
        "kind": "official_source",
        "label": "OpenAIRE",
        "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A60c257422c4e7f3ff8ed963537678939"
      },
      {
        "kind": "persistent_identifier",
        "label": "DOI 10.1016/j.biopsych.2025.09.003",
        "url": "https://doi.org/10.1016/j.biopsych.2025.09.003"
      }
    ],
    "slug": "output-07ef54a6735259299077440a-66dbe9e3",
    "sourceRefs": [
      {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "openaire_research_product_id",
        "sourceId": "doi_dedup___::60c257422c4e7f3ff8ed963537678939",
        "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A60c257422c4e7f3ff8ed963537678939"
      }
    ],
    "type": "output"
  },
  "fingerprint": "sha256:a9b3159ab646c21125f590d30b683bb32e51352cea27c3d85283a55820d43169",
  "generatedAt": "2026-10-01T08:35:18.410Z",
  "neighbors": [
    {
      "attributes": {
        "acronym": "eBRAIN-Health",
        "code": "101058516",
        "endDate": "2026-06-30",
        "frameworkProgramme": "HORIZON",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "597100400",
          "participantEdgeCount": 5,
          "status": "linked"
        },
        "knowledgeFlow": null,
        "research": {
          "citationDataOutputCount": 100,
          "citedOutputCount": 58,
          "firstPublicationDate": "2020-01-01",
          "lastPublicationDate": "2026-04-01",
          "openAccessOutputCount": 98,
          "outputCount": 100,
          "status": "linked",
          "totalCitations": 624,
          "typeCounts": {
            "dataset": 12,
            "other": 2,
            "publication": 86,
            "software": 0
          }
        },
        "startDate": "2022-07-01"
      },
      "description": "eBRAIN-Health - Actionable Multilevel Health Data",
      "edgeCount": 23,
      "id": "cordis:101058516",
      "indexable": true,
      "label": "eBRAIN-Health · eBRAIN-Health - Actionable Multilevel Health Data",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101058516"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101058516"
        }
      ],
      "slug": "project-cordis-101058516-4ea535cc",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101058516",
          "url": "https://cordis.europa.eu/project/id/101058516"
        }
      ],
      "type": "project"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}