{
  "schema": 1,
  "recorded_utc": "2026-11-02",
  "model": "RADAR",
  "environment": {
    "hardware": "Apple M1 Max",
    "memory_gib": 64,
    "browser": "Chromium 151.0.7922.34",
    "device": "WebGPU / Metal"
  },
  "protocol": {
    "timing": "Original DICOM File selection to the first painted 146-row score table, observed using two animation frames. MedFilm Run was clicked immediately after import became ready. Each repeat selected the same files anew. Applications were measured sequentially in separate local browser profiles.",
    "models": "RADAR-Web initialized from its browser cache. MedFilm read verified weight bytes over loopback during the first import and reused the prepared model. No internet weight download was timed.",
    "order": "The public scan was measured first. The initial reference trial was the first selection of that scan after the public scan, with a warm model. Values are individual observations.",
    "input_fingerprint": "SHA-256 of the concatenation of the sorted binary SHA-256 digests of the DICOM files."
  },
  "sources": {
    "medfilm_tested_product_sha256": "14435143cdee996b52796e7b9104be589bdd2ed46a730297234fc1243e740094",
    "medfilm_weights_sha256": "20170f27b989a417cd1550e7a94e2a185f12f5ed9f38897c3f95f0f22b9992c8",
    "radar_web": "https://jarrelscy.github.io/radar-web/",
    "radar_web_revision": "https://github.com/jarrelscy/radar-web/tree/922737f37d25d0a06fdd62501c8d043c71879dcb",
    "radar_web_weights": "https://huggingface.co/jarrelscy/radar-onnx/tree/5108c03d75188062ac1b6841c3abab07afcff662"
  },
  "cases": [
    {
      "id": "public-100",
      "title": "Public abdomen–pelvis CT",
      "files": 100,
      "source_bytes": 52753548,
      "dicom_file_set_sha256": "1882c11511c0db3065355dd68808370ab086fe95811acf3d169f97763ce93e34",
      "public_demo": "ct-abdomen-pelvis-dicom",
      "collection": "https://doi.org/10.7937/p5k5-tg43",
      "canonical_shape_dhw": [
        100,
        384,
        389
      ],
      "frames_decoded": 100,
      "file_selection_to_painted_scores_s": {
        "medfilm": {
          "initial": [
            81.1708
          ],
          "repeat": [
            83.8669
          ]
        },
        "radar_web": {
          "initial": [
            43.23633
          ],
          "repeat": [
            39.43369
          ]
        }
      },
      "evaluations": {
        "geometric_windows": 8,
        "medfilm": 13,
        "radar_web": 13,
        "medfilm_centered_crops": 5,
        "radar_web_centered_crops": 5
      },
      "scores": {
        "available_both": 146,
        "within_1e_5": 136,
        "maximum_absolute_difference": 0.06411927919669486,
        "mean_absolute_difference": 0.002117769985701174,
        "organ_for_differences_above_1e_5": "Lung",
        "top_three_order_agrees": true,
        "medfilm_float32_sha256": "4385c9d510e39fc3c124a892fa4f49fb2941d5c3f76d73d9075613fb7977f4cd"
      }
    },
    {
      "id": "reference-394",
      "title": "Reference abdominal CT",
      "files": 394,
      "source_bytes": 37412426,
      "dicom_file_set_sha256": "f379f07945d8ec078802592872a4e313e8aa29f19ea741158924005fb4b16269",
      "canonical_shape_dhw": [
        96,
        276,
        384
      ],
      "frames_decoded": 156,
      "file_selection_to_painted_scores_s": {
        "medfilm": {
          "initial": [
            6.4437
          ],
          "repeat": [
            6.3182
          ]
        },
        "radar_web": {
          "initial": [
            9.22741
          ],
          "repeat": [
            9.25234,
            9.181
          ]
        }
      },
      "evaluations": {
        "geometric_windows": 2,
        "medfilm": 1,
        "radar_web": 2,
        "medfilm_centered_crops": 0,
        "radar_web_centered_crops": 0
      },
      "scores": {
        "available_both": 146,
        "within_1e_5": 146,
        "maximum_absolute_difference": 6.287259858572813e-07,
        "mean_absolute_difference": 3.864754579035617e-08,
        "medfilm_float32_sha256": "ba8bf4dbd64443215892e413a42d809ed85f8ee28032ea4ed0c8a6db4ee1cf45"
      }
    }
  ]
}