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          "point_count": 814,
          "scores": [
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            0.36098923053283793,
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          "controls": [
            {
              "gain": -0.022846900987636184,
              "positive_gain": 0.17178880084910592,
              "negative_gain": -0.19463570183674211,
              "top_decile_positive_gain": 0.09939947353877672,
              "positive_gain_by_image_tile_3x3": [
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                [
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              "positive_gain": 0.21707295550307615,
              "negative_gain": -0.12154447545522276,
              "top_decile_positive_gain": 0.09995625435758317,
              "positive_gain_by_image_tile_3x3": [
                [
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                ],
                [
                  0.08011575266252241,
                  0.02952456703523477,
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                  0.03953752194927161,
                  0.006097479717343645,
                  0.009829905867748142
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              ]
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          ]
        }
      ],
      "example": {
        "prepared_index": 7,
        "control_sign_index": 1,
        "gain": 0.09662865986034913,
        "selection": "largest per-frame control-minus-baseline score in fold"
      }
    },
    {
      "fold": 5,
      "poses": [
        [
          0.0,
          -3.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        [
          -4.0,
          -3.05,
          -2.5,
          0.0,
          0.0,
          0.0
        ],
        [
          -4.0,
          -5.05,
          -1.65,
          0.0,
          0.0,
          0.0
        ],
        [
          -3.8,
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          -2.0,
          0.0,
          0.0,
          0.0
        ]
      ],
      "reference_rotation_error_vectors_deg": [
        [
          0.0,
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        [
          -3.9327223689100927,
          -0.0516943883035638,
          -2.603543557193621
        ],
        [
          -3.9543677383369373,
          -2.0514255922733056,
          -1.7536680386749424
        ],
        [
          -3.7464721389269218,
          1.9485955808239235,
          -2.098858874431921
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      ],
      "rotation_error_norms_deg": [
        0.0,
        4.716716717687453,
        4.787559165222284,
        4.715748805878428
      ],
      "held_scores": [
        0.3742844707353441,
        0.4134923845825707,
        0.363083765536342,
        0.43838767933272915
      ],
      "frames": [
        {
          "prepared_index": 9,
          "time_s": 1317212825.5593317,
          "point_count": 880,
          "scores": [
            0.3886942970800028,
            0.41792805325190663,
            0.3611308058412433,
            0.4394841043111551
          ],
          "controls": [
            {
              "gain": -0.05679724741066338,
              "positive_gain": 0.11170744260009054,
              "negative_gain": -0.1685046900107539,
              "top_decile_positive_gain": 0.0801543520857935,
              "positive_gain_by_image_tile_3x3": [
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                  0.00010901938518049359
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              ]
            },
            {
              "gain": 0.02155605105924847,
              "positive_gain": 0.14639116793114101,
              "negative_gain": -0.12483511687189253,
              "top_decile_positive_gain": 0.08677017822219188,
              "positive_gain_by_image_tile_3x3": [
                [
                  0.0,
                  0.0,
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                ],
                [
                  0.01514067604914439,
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                  0.04394098804402086
                ],
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                  0.0003647409209825344
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              ]
            }
          ]
        },
        {
          "prepared_index": 10,
          "time_s": 1317212826.5961351,
          "point_count": 861,
          "scores": [
            0.35947499341127065,
            0.4089336943524151,
            0.3650908898158178,
            0.43726084543014265
          ],
          "controls": [
            {
              "gain": -0.043842804536597266,
              "positive_gain": 0.1271767413609828,
              "negative_gain": -0.17101954589758006,
              "top_decile_positive_gain": 0.08634330688530749,
              "positive_gain_by_image_tile_3x3": [
                [
                  0.0,
                  0.0,
                  0.0
                ],
                [
                  0.010788783666705286,
                  0.032379104534649775,
                  0.048598037747195545
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                [
                  0.03078230244612396,
                  0.003120392434665018,
                  0.0015081205316432524
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              ]
            },
            {
              "gain": 0.028327151077727587,
              "positive_gain": 0.1633637356228079,
              "negative_gain": -0.1350365845450803,
              "top_decile_positive_gain": 0.08848282136303125,
              "positive_gain_by_image_tile_3x3": [
                [
                  0.0,
                  0.0,
                  0.0
                ],
                [
                  0.015685857356994928,
                  0.02836767732608826,
                  0.04275666323220843
                ],
                [
                  0.0737526240832999,
                  0.0019929852886062197,
                  0.0008079283356101325
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              ]
            }
          ]
        }
      ],
      "example": {
        "prepared_index": 10,
        "control_sign_index": 1,
        "gain": 0.028327151077727587,
        "selection": "largest per-frame control-minus-baseline score in fold"
      }
    }
  ],
  "limitations": [
    "Post hoc attribution on spent data; no fitting or new accuracy claim.",
    "No cross-frame identity tracking; semantic labels require visual inspection.",
    "Nearest-ridge lines use rounded pixels; scores use exact bilinear interpolation.",
    "Examples select the largest control gain per fold; every frame is retained in JSON."
  ]
}