{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "Christopher Weaver",
    "hasEmail": "mailto:weaver.chris@epa.gov"
  },
  "description": "Supporting information for \"Modelling In vitro Mutagenicity Using Multi-Task Deep Learning and REACH Data\"",
  "distribution": [
    {
      "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1qmc/Supporting%20information.zip",
      "mediaType": "application/zip",
      "title": "Supporting information.zip"
    }
  ],
  "identifier": "https://doi.org/10.23719/d-1qmc",
  "keyword": [
    "Deep learning",
    "Mutagenicity",
    "Reach",
    "genotoxicity",
    "graph convolutional network",
    "machine learning",
    "qsar"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
  "modified": "2025-07-18",
  "programCode": [
    "020:000"
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  "publisher": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  },
  "references": null,
  "rights": null,
  "title": "Modelling in vitro mutagenicity using multitask deep learning and the REACH data"
}