{"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"], "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"}