{
  "identity": {
    "normal_equation_residual": 2.6645352591003757e-15,
    "df_error": 0
  },
  "leverage": {
    "h_near": 0.042913430089507064,
    "h_far": 1.5448834832222538,
    "predicted_scale_ratio": 2.4401675247425296,
    "observed_scale_ratio": 2.4401675247425296
  },
  "df_sweep": [
    [
      0,
      4,
      4
    ],
    [
      2,
      6,
      6
    ],
    [
      5,
      9,
      9
    ],
    [
      10,
      14,
      14
    ],
    [
      20,
      24,
      24
    ],
    [
      40,
      44,
      44
    ]
  ],
  "adaptation_rmse_sweep": [
    [
      1,
      0.0926644847958778,
      0.013747931755701524
    ],
    [
      2,
      0.0885785131670777,
      0.016979233505697622
    ],
    [
      5,
      0.06306808938211551,
      0.01875876014487601
    ],
    [
      10,
      0.041014066142435,
      0.011570790159773529
    ],
    [
      20,
      0.03241866822210989,
      0.007779566932841379
    ],
    [
      40,
      0.018900882791097556,
      0.0057686767810181915
    ],
    [
      80,
      0.013145033257511913,
      0.0028964357305620377
    ]
  ],
  "shifted_task_nll": [
    [
      2,
      -0.2349365073006741,
      75.10518575922715
    ],
    [
      5,
      -0.5263842529759978,
      4.4991054039809
    ],
    [
      10,
      -0.9656839693458696,
      0.15654088822686169
    ],
    [
      20,
      -1.1038895807539617,
      -0.9662456866584017
    ]
  ],
  "notes": "Scale ratio uses the same output covariance direction, so it isolates the exact 1+q'K^-1q mechanism. RMSE is posterior mean coefficient error."
}