{
  "id": 566259,
  "title": "Loss function",
  "url": "/competitions/stanford-rna-3d-folding/discussion/566259",
  "author_name": "Andrew Bannerman",
  "post_date": "2025-03-04T15:41:24.072000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>So… are you noticing in a differentiable loss function, does it correlate to the TM scoring method well? <br>\nelse if they are divergent, not capturing the loss correctly in predicting the 3d structure </p>",
  "messages": [
    {
      "id": 3140453,
      "postDate": "2025-03-04T15:41:24.073Z",
      "content": "<p>So… are you noticing in a differentiable loss function, does it correlate to the TM scoring method well? <br>\nelse if they are divergent, not capturing the loss correctly in predicting the 3d structure </p>",
      "rawMarkdown": "So... are you noticing in a differentiable loss function, does it correlate to the TM scoring method well? \nelse if they are divergent, not capturing the loss correctly in predicting the 3d structure ",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3140453": "So... are you noticing in a differentiable loss function, does it correlate to the TM scoring method well? \nelse if they are divergent, not capturing the loss correctly in predicting the 3d structure "
  }
}