    {
      "documents": [
          {
            "pos": 1,
            "docid": 6582,
            "content": "presentation",
            "mime_type": "application/pdf",
            "files": [
                {
                  "hash": "6533130dbd42250b197faaf079594f15",
                  "datasetid": "document",
                  "uri": "https://beta-documents.el-una.org/id/file/36855",
                  "hash_type": "MD5",
                  "objectid": 6582,
                  "fileid": 36855,
                  "mime_type": "application/pdf",
                  "filename": "DCRUG-MARC Records with ChatGPT-2024 Annual.pdf",
                  "mtime": "2024-11-06 20:10:19",
                  "filesize": 1675296
                }
            ],
            "formatdesc": "Presentation from DCRUG Annual Meeting 2024",
            "rev_number": 3,
            "placement": 1,
            "uri": "https://beta-documents.el-una.org/id/document/6582",
            "format": "application/pdf",
            "eprintid": 2536,
            "language": "en",
            "security": "public",
            "main": "DCRUG-MARC Records with ChatGPT-2024 Annual.pdf"
          }
      ],
      "status_changed": "2024-11-13 00:00:51",
      "eprint_status": "archive",
      "subjects": [
        "alma",
        "gen"
      ],
      "refereed": "FALSE",
      "creators": [
        {
          "name": {
            "lineage": null,
            "given": "John",
            "family": "Kimbrough",
            "honourific": null
          }
        }
      ],
      "type": "conference_item",
      "metadata_visibility": "show",
      "date": "2024-10-25",
      "abstract": "Georgetown University undertook a small pilot project this summer to test ChatGPT\u2019s ability to produce MARC records for items in various formats. I would like to share some lessons we learned, including what the AI got right, frequent errors made by ChatGPT, and workflows for proofreading records as a team. The lessons have helped inform us about using the Alma AI Metadata Assistant, and to evaluate its output.",
      "event_type": "conference",
      "dir": "disk0/00/00/25/36",
      "event_title": "DCRUG Annual Meeting 2024",
      "lastmod": "2024-11-13 00:00:51",
      "rev_number": 12,
      "title": "MARC Records with ChatGPT: Lessons Learned",
      "pres_type": "lecture",
      "datestamp": "2024-11-13 00:00:51",
      "uri": "https://beta-documents.el-una.org/id/eprint/2536",
      "ispublished": "pub",
      "userid": 192,
      "full_text_status": "public",
      "eprintid": 2536
    }