{
  "schema_version": "medmlx.reference.v1",
  "model": "nnunet-liver",
  "date": "2026-10-12",
  "case": {
    "dataset": "AMOS22 (validation)",
    "case_id": "amos_0008",
    "input_sha256": "e3ed0f4d7b1fcd1b785ffdb233750cc35eff9714fa724b07122dd625a9c85461",
    "inputs": [
      {
        "role": "CT",
        "path": "<repositories>/radnn/work/nnunet-next-20261001/public-ct/amos_0008/image.nii.gz",
        "sha256": "e3ed0f4d7b1fcd1b785ffdb233750cc35eff9714fa724b07122dd625a9c85461",
        "dataset": "AMOS22 (validation)",
        "case_id": "amos_0008",
        "derivation": "staged AMOS CT; HU and geometry as released",
        "resolved_path": "<repositories>/research/radnn/work/nnunet-next-20261001/public-ct/amos_0008/image.nii.gz",
        "verified_sha256": "e3ed0f4d7b1fcd1b785ffdb233750cc35eff9714fa724b07122dd625a9c85461"
      }
    ]
  },
  "original": {
    "code": "nnunetv2",
    "version_or_commit": "2.8.1",
    "upstream_commit": "468cf803df9b267150ae2b6c0c59b8ac84f16227",
    "precision": "FP32 network; upstream FP16 Gaussian sliding-window accumulation; CPU autocast OFF",
    "command": "<paper-repo>/work/reference/nnunet-brats/.venv/bin/python benchmarks/reference/nnunet-liver.py --threads 3",
    "folds": [
      0
    ],
    "configuration": "3d_fullres",
    "trainer": "nnUNetTrainer",
    "use_mirroring": false,
    "mirroring_axes": [],
    "tile_step_size": 0.5,
    "device": "cpu",
    "checkpoint_path": "<repositories>/research/radnn/checkpoints/nnunet/nnunet_liver/fold_0/checkpoint_final.pth",
    "checkpoint_sha256": "9170ca9826668954256947f1aa6fb06faede02301edaf9db6446fd552ffefda9",
    "packages": {
      "nnunetv2": "2.8.1",
      "dynamic-network-architectures": "0.4.4",
      "torch": "2.13.0",
      "numpy": "2.5.2",
      "scipy": "1.18.1",
      "scikit-image": "0.26.0",
      "SimpleITK": "2.5.6",
      "nibabel": "5.4.2"
    },
    "inference_wall_s": 5010.051914084004,
    "output_path": "work/reference/nnunet-liver/out/mask.nii.gz",
    "output_sha256": "459e23806fd3887c0835ba4c3766cf1383d24f3ecb991600660d3306dd6ee9ca"
  },
  "mlx": {
    "run_record": "results/runs/nnunet-liver.json",
    "run_record_sha256": "fe645df577e03b19e43d87ef49a50d81df61c8315e8b85e0fe87e0f0dd4a5231",
    "output_path": "<paper-repo>/work/runs/nnunet-liver/out/mask.nii.gz",
    "output_sha256": "dc3dd8177e62f6250ba1ba10576dbb245d86aeb15db3a1a97e50ec5b67dbbb12",
    "use_mirroring": false,
    "mirroring_axes": []
  },
  "comparison": {
    "metric": "minimum_per_label_dice",
    "value": 0.9999366324587556,
    "per_label": {
      "0": {
        "dice": 0.9999996624633793,
        "original_voxels": 59252850,
        "mlx_voxels": 59252810
      },
      "1": {
        "dice": 0.9999366324587556,
        "original_voxels": 315599,
        "mlx_voxels": 315639
      },
      "2": {
        "dice": 1.0,
        "original_voxels": 3775,
        "mlx_voxels": 3775
      }
    },
    "threshold": 0.99,
    "result": "pass",
    "differing_voxel_count": 40,
    "labels_compared": "Every label present in either output, including background",
    "geometry": {
      "original": {
        "shape": [
          768,
          768,
          101
        ],
        "affine": [
          [
            -0.6158854365348816,
            -0.0,
            0.0,
            223.5
          ],
          [
            -0.0,
            0.6158854365348816,
            -0.0,
            -404.8841247558594
          ],
          [
            0.0,
            0.0,
            5.0,
            5.49993896484375
          ],
          [
            0.0,
            0.0,
            0.0,
            1.0
          ]
        ],
        "spacing": [
          0.6158854365348816,
          0.6158854365348816,
          5.0
        ],
        "orientation": [
          "L",
          "A",
          "S"
        ],
        "qform_code": 1,
        "sform_code": 1
      },
      "mlx": {
        "shape": [
          768,
          768,
          101
        ],
        "affine": [
          [
            -0.6158854365348816,
            -0.0,
            0.0,
            223.5
          ],
          [
            -0.0,
            0.6158854365348816,
            -0.0,
            -404.8841247558594
          ],
          [
            0.0,
            0.0,
            5.0,
            5.49993896484375
          ],
          [
            0.0,
            0.0,
            0.0,
            1.0
          ]
        ],
        "spacing": [
          0.6158854365348816,
          0.6158854365348816,
          5.0
        ],
        "orientation": [
          "L",
          "A",
          "S"
        ],
        "qform_code": 1,
        "sform_code": 1
      },
      "input": {
        "shape": [
          768,
          768,
          101
        ],
        "affine": [
          [
            -0.6158854365348816,
            -0.0,
            0.0,
            223.5
          ],
          [
            0.0,
            0.6158854365348816,
            0.0,
            -404.8841247558594
          ],
          [
            0.0,
            0.0,
            5.0,
            5.49993896484375
          ],
          [
            0.0,
            0.0,
            0.0,
            1.0
          ]
        ],
        "spacing": [
          0.6158854365348816,
          0.6158854365348816,
          5.0
        ],
        "orientation": [
          "L",
          "A",
          "S"
        ],
        "qform_code": 1,
        "sform_code": 1
      }
    }
  },
  "notes": "One recorded case; reproducibility comparison, not accuracy or clinical qualification. Relocated RadNN paths are recorded and verified against the original run hashes.",
  "failure": null
}