{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/neurobridge/llm-metadata-extraction-paper-2025",
 "url": "https://github.com/NeuroBridge/LLM-Metadata-Extraction-Paper-2025",
 "host": "github.com",
 "commit": "d276a3edd536b3b933f5e6b664060c856836ed37",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "55767897ef405d39a4959433153eba9ded1b13cd909c7fa98a7c3b2b8f3c043a",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 20,
   "row": 8791
  },
  {
   "path": "LLM_Experiments/Task_2_Structural_MRI_Parameters/convert_MRI_JSON_parameters_to_CSV.ipynb",
   "sha256": "57b478cd108d7b12f6e461c9c41a7824cf3f23971ad8044963a704e504b293a2",
   "language": "Jupyter",
   "lines": 101,
   "truncated": false,
   "block": 20,
   "row": 7847
  },
  {
   "path": "LLM_Experiments/Task_2_Structural_MRI_Parameters/run_T1_MRI_Parameters_GPT-4o.ipynb",
   "sha256": "109d3e69446079c07017f8d44406c7195728ff7dbb5d1a4c6111ba2d80036f43",
   "language": "Jupyter",
   "lines": 187,
   "truncated": false,
   "block": 20,
   "row": 8013
  },
  {
   "path": "LLM_Experiments/Task_3_Experimental_Group_Information/json_to_csv_converter_code.ipynb",
   "sha256": "85183529e9c058481e9bc4f451a1dce96edbdfbf0cc1ec093ba1d1cd4de2a8fd",
   "language": "Jupyter",
   "lines": 68,
   "truncated": false,
   "block": 20,
   "row": 7717
  },
  {
   "path": "LLM_Experiments/Task_3_Experimental_Group_Information/run_experiment_code.ipynb",
   "sha256": "ec274c2a1dfcb18069d0fd0e52ecb8d74a72ad3e3b0e74ec97256f9ba1ba56e4",
   "language": "Jupyter",
   "lines": 247,
   "truncated": false,
   "block": 20,
   "row": 8143
  },
  {
   "path": "README.md",
   "sha256": "a96289939fe7c042fa63b991bb0e9097675f5b54199f4ad1d4e0c5fcd474d0d0",
   "language": "Text",
   "lines": 21,
   "truncated": false,
   "block": 21,
   "row": 2896
  },
  {
   "path": "Statistical_Analysis/statistical-supplement-calculations.ipynb",
   "sha256": "18c4fc8826be1b8bfd9b099116aa674db59afecd808c43a2cfd04e02740a8241",
   "language": "Jupyter",
   "lines": 70,
   "truncated": false,
   "block": 20,
   "row": 7748
  }
 ]
}