1{
 2  "normalization": [
 3    {
 4      "r": 0,
 5      "integral": 1.0,
 6      "error": 0.0
 7    },
 8    {
 9      "r": 0.2,
10      "integral": 1.0,
11      "error": 0.0
12    },
13    {
14      "r": 0.5,
15      "integral": 1.0000000000000002,
16      "error": 2.220446049250313e-16
17    },
18    {
19      "r": 0.8,
20      "integral": 0.9999999999999991,
21      "error": 8.881784197001252e-16
22    },
23    {
24      "r": 0.95,
25      "integral": 1.000000000000022,
26      "error": 2.19824158875781e-14
27    }
28  ],
29  "contraction": [
30    {
31      "q": 0.2,
32      "predicted_log_slope": -1.6094379124341003,
33      "observed_log_slope": -1.6094379115815634,
34      "relative_error": 5.29710977574285e-10,
35      "error_K1": 0.07513321502504734,
36      "error_K12": 1.5387282814513952e-09
37    },
38    {
39      "q": 0.5,
40      "predicted_log_slope": -0.6931471805599453,
41      "observed_log_slope": -0.6931471805599542,
42      "relative_error": 1.2813706015259671e-14,
43      "error_K1": 0.18783303756261838,
44      "error_K12": 9.171535037234831e-05
45    },
46    {
47      "q": 0.8,
48      "predicted_log_slope": -0.2231435513142097,
49      "observed_log_slope": -0.2231435513142096,
50      "relative_error": 4.975375797716176e-16,
51      "error_K1": 0.3005328601001894,
52      "error_K12": 0.025815576110073207
53    }
54  ],
55  "likelihood": [
56    {
57      "r": 0,
58      "pk_nll": -0.0,
59      "isotropic_nll": 1.8378770664093453,
60      "advantage": 1.8378770664093453
61    },
62    {
63      "r": 0.2,
64      "pk_nll": -0.040533486181156334,
65      "isotropic_nll": 1.8378770664093453,
66      "advantage": 1.8784105525905017
67    },
68    {
69      "r": 0.5,
70      "pk_nll": -0.2873012173898093,
71      "isotropic_nll": 1.8378770664093453,
72      "advantage": 2.125178283799155
73    },
74    {
75      "r": 0.8,
76      "pk_nll": -1.0219126501075335,
77      "isotropic_nll": 1.8378770664093453,
78      "advantage": 2.859789716516879
79    }
80  ],
81  "summary": {
82    "max_normalization_error": 2.19824158875781e-14,
83    "contraction_slope_errors": [
84      5.29710977574285e-10,
85      1.2813706015259671e-14,
86      4.975375797716176e-16
87    ],
88    "likelihood_advantages": [
89      1.8378770664093453,
90      1.8784105525905017,
91      2.125178283799155,
92      2.859789716516879
93    ],
94    "prediction": "PK samples should have lower true-model NLL than uniform; contraction slope should equal log(q)."
95  }
96}