{
  "schema_version": "medmlx.run.v1",
  "model": "segresnet-brats",
  "configuration": "MONAI brats_mri_segmentation (SegResNet, 4-channel MRI)",
  "date": "2026-10-08",
  "package": {
    "name": "segresnet-mlx",
    "path": "<repositories>/segresnet-mlx",
    "git_revision": "40cbce54523632fbc8cdfc564a9cce48d8df3424",
    "branch": "main",
    "dirty": false,
    "remote": "https://github.com/MedMLX/segresnet-mlx.git"
  },
  "environment": {
    "machine": "MacBook Pro (2021), Apple M1 Max, 10-core CPU, 24-core GPU, 64 GB",
    "macos": "27.0",
    "python": "3.12.12",
    "mlx_version": "0.32.3",
    "device": "gpu"
  },
  "command": {
    "entry_point": "segresnet_mlx.medmlx:run",
    "kwargs": {
      "bundle": "brats_mri_segmentation",
      "weights_path": "<paper-repo>/work/runs/weights/segresnet-brats.safetensors",
      "output_dir": "<paper-repo>/work/runs/segresnet-brats/out",
      "t1c_path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/T1gd.nii.gz",
      "t1_path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/T1w.nii.gz",
      "t2_path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/T2w.nii.gz",
      "flair_path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/FLAIR.nii.gz",
      "overwrite": true
    },
    "invocation": "cd <repositories>/segresnet-mlx && .venv/bin/python <paper-repo>/work/runs/_harness/run_one.py segresnet_mlx.medmlx <kwargs.json> <run_result.json>",
    "process": "fresh Python process per model"
  },
  "checkpoint": {
    "path": "<paper-repo>/work/runs/weights/segresnet-brats.safetensors",
    "sha256": "9044dcf3e2a82ef18f14d7abf507debbea52e14560c304b990a4c0e412bc9c30",
    "source": "huggingface.co/MONAI/brats_mri_segmentation@370f7f9d models/model.pt (local HF cache)",
    "source_sha256": "860ccb3f1c21c99d0410ad8a1ac4ef6b8fab60cec0a503b0ba42675741a750ae",
    "registry_sha256_match": true,
    "conversion": "segresnet_mlx.convert_checkpoint(spec=BUNDLES['brats_mri_segmentation'].spec)"
  },
  "inputs": [
    {
      "role": "t1c_path",
      "path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/T1gd.nii.gz",
      "sha256": "96abcdbb541c4af37f03bef466eee5d11a3f91b9a1ea10b1a4a22cb38b7b3978",
      "dataset": "MSD Task01 BrainTumour (training)",
      "case_id": "BRATS_001",
      "derivation": "channel split of imagesTr/BRATS_001.nii.gz (MSD order FLAIR,T1w,T1gd,T2w)"
    },
    {
      "role": "t1_path",
      "path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/T1w.nii.gz",
      "sha256": "740b0adfa8de83fcbdfa5cd5f14689f6d947120bfbf057fe82954c07477bb173",
      "dataset": "MSD Task01 BrainTumour (training)",
      "case_id": "BRATS_001",
      "derivation": "channel split of imagesTr/BRATS_001.nii.gz (MSD order FLAIR,T1w,T1gd,T2w)"
    },
    {
      "role": "t2_path",
      "path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/T2w.nii.gz",
      "sha256": "8e2de5df0abd8b25ac1136c6570a6d03f2255107ef1265145b606f07acd1f1af",
      "dataset": "MSD Task01 BrainTumour (training)",
      "case_id": "BRATS_001",
      "derivation": "channel split of imagesTr/BRATS_001.nii.gz (MSD order FLAIR,T1w,T1gd,T2w)"
    },
    {
      "role": "flair_path",
      "path": "<home>/Documents/Codex/2026-10-08/https-drive-google-com-drive-folders/outputs/medmlx/datasets/qualification-2026-10-08/derived/msd-brain-channels/BRATS_001/FLAIR.nii.gz",
      "sha256": "7571148ce691dccff5a84109091f43385b7c069a99cd7a967b2002aaeec64cdd",
      "dataset": "MSD Task01 BrainTumour (training)",
      "case_id": "BRATS_001",
      "derivation": "channel split of imagesTr/BRATS_001.nii.gz (MSD order FLAIR,T1w,T1gd,T2w)"
    }
  ],
  "outputs": {
    "mask": {
      "path": "<paper-repo>/work/runs/segresnet-brats/out/brats_mri_segmentation_mask.nii.gz",
      "sha256": "ce7f2ca25eeb2e1dea09e748dfdf1ec666a16296bc523a0b537608575ed5dcd6",
      "label_voxel_counts": {
        "0": 8791633,
        "1": 27348,
        "2": 74690,
        "4": 34329
      }
    },
    "details": {
      "labels_present": [
        0,
        1,
        2,
        4
      ],
      "input_shape": [
        240,
        240,
        155
      ],
      "sliding_window": {
        "roi_size": [
          240,
          240,
          160
        ],
        "sw_batch_size": 1,
        "overlap": 0.5
      },
      "seconds": {
        "load_inputs_and_weights": 0.3394,
        "preprocess": 0.1134,
        "inference": 1.4535,
        "postprocess_and_write": 0.2894
      }
    }
  },
  "checks": [
    {
      "name": "mask_reopens",
      "result": "pass",
      "detail": {
        "dtype": "uint8",
        "shape": [
          240,
          240,
          155
        ]
      }
    },
    {
      "name": "finite_integer_labels",
      "result": "pass",
      "detail": null
    },
    {
      "name": "shape_matches_input",
      "result": "pass",
      "detail": {
        "input": [
          240,
          240,
          155
        ],
        "mask": [
          240,
          240,
          155
        ]
      }
    },
    {
      "name": "affine_matches_input",
      "result": "pass",
      "detail": {
        "max_abs_diff": 0.0
      }
    },
    {
      "name": "labels_in_expected_set",
      "result": "pass",
      "detail": {
        "observed": [
          0,
          1,
          2,
          4
        ],
        "allowed": [
          0,
          1,
          2,
          4
        ]
      }
    },
    {
      "name": "foreground_nonempty",
      "result": "pass",
      "detail": {
        "foreground_voxels": 136367
      }
    },
    {
      "name": "required_labels_present",
      "result": "pass",
      "detail": {
        "required": [
          1,
          2
        ]
      }
    },
    {
      "name": "tumor_overlaps_annotated_region",
      "result": "pass",
      "detail": {
        "whole_tumor_dice_vs_msd_label_informational": 0.8897
      }
    }
  ],
  "duration_s": 2.271,
  "timing_boundary": "wall clock around the single run() call: weight loading, preprocessing, MLX inference and export; interpreter start-up and package import excluded; one run, no warmup",
  "mlx_peak_gb": 6.954,
  "memory_definition": "mx.get_peak_memory() after mx.reset_peak_memory() immediately before run(); decimal GB",
  "panel": "paper/figures/runs/segresnet-brats.png",
  "status": "success",
  "failure_cause": null,
  "notes": "BRATS_001 is training-exposed MSD data; overlap with the MSD label is a sanity check, not an accuracy claim.",
  "key_check": "labels [1, 2, 4]; whole_tumor_dice_vs_msd_label_informational = 0.8897"
}