Add calibrated thresholds (IdeaLens-1M calibration split)
Browse files- thresholds.json +258 -0
thresholds.json
ADDED
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@@ -0,0 +1,258 @@
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| 1 |
+
{
|
| 2 |
+
"model": "rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly",
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| 3 |
+
"input": "role sequence",
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| 4 |
+
"flag_rule": "flag the document as AI when P(human) < cut",
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| 5 |
+
"calibration": {
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| 6 |
+
"data": "IdeaLens-1M, calibration split (human documents only)",
|
| 7 |
+
"scores_from": "the training run's stored predictions on the calibration split",
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| 8 |
+
"n_humans": 80000,
|
| 9 |
+
"n_per_format": {
|
| 10 |
+
"Academic Writing": 10000,
|
| 11 |
+
"Creative Writing": 10000,
|
| 12 |
+
"Knowledge Article": 10000,
|
| 13 |
+
"News Article": 10000,
|
| 14 |
+
"Nonfiction Writing": 10000,
|
| 15 |
+
"Personal About Page": 10000,
|
| 16 |
+
"Personal Blog": 10000,
|
| 17 |
+
"User Reviews": 10000
|
| 18 |
+
},
|
| 19 |
+
"n_per_topic": {
|
| 20 |
+
"Art & Design": 3338,
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| 21 |
+
"Crime & Law": 3931,
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| 22 |
+
"Education & Jobs": 3974,
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| 23 |
+
"Entertainment": 4692,
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| 24 |
+
"Fashion & Beauty": 2999,
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| 25 |
+
"Finance & Business": 4855,
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| 26 |
+
"Food & Dining": 2696,
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| 27 |
+
"Games": 4257,
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| 28 |
+
"Hardware": 2253,
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| 29 |
+
"Health": 5069,
|
| 30 |
+
"History": 2554,
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| 31 |
+
"Home & Hobbies": 4192,
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| 32 |
+
"Industrial": 2299,
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| 33 |
+
"Literature": 3571,
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| 34 |
+
"Politics": 3728,
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| 35 |
+
"Religion": 3617,
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| 36 |
+
"Science & Tech.": 4154,
|
| 37 |
+
"Social Life": 3126,
|
| 38 |
+
"Software": 2257,
|
| 39 |
+
"Software Dev.": 2468,
|
| 40 |
+
"Sports & Fitness": 4224,
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| 41 |
+
"Transportation": 2810,
|
| 42 |
+
"Travel": 2936
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"method": {
|
| 46 |
+
"global": "the target-FPR quantile of P(human) over all calibration humans",
|
| 47 |
+
"per_group": "the group's own quantile, shrunk toward the global cut with weight n / (n + 2500)",
|
| 48 |
+
"min_group_humans": 200,
|
| 49 |
+
"estimability": "a cut at FPR q is given only when q * n >= 25 calibration humans",
|
| 50 |
+
"missing_cut": "no cut for a group means none could be estimated; do not substitute the global cut"
|
| 51 |
+
},
|
| 52 |
+
"fpr_targets": [
|
| 53 |
+
0.001,
|
| 54 |
+
0.005,
|
| 55 |
+
0.01,
|
| 56 |
+
0.02,
|
| 57 |
+
0.05,
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| 58 |
+
0.1,
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| 59 |
+
0.2
|
| 60 |
+
],
|
| 61 |
+
"global": {
|
| 62 |
+
"0.001": 0.012178110932931304,
|
| 63 |
+
"0.005": 0.03202226234599948,
|
| 64 |
+
"0.01": 0.050820946171879766,
|
| 65 |
+
"0.02": 0.08874025583267212,
|
| 66 |
+
"0.05": 0.19271590709686282,
|
| 67 |
+
"0.1": 0.3445788145065308,
|
| 68 |
+
"0.2": 0.5637847781181335
|
| 69 |
+
},
|
| 70 |
+
"per_format": {
|
| 71 |
+
"0.005": {
|
| 72 |
+
"Academic Writing": 0.03074905068054795,
|
| 73 |
+
"Creative Writing": 0.050780254583805806,
|
| 74 |
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"Knowledge Article": 0.02830683707818389,
|
| 75 |
+
"News Article": 0.029749106999486685,
|
| 76 |
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"Nonfiction Writing": 0.026594594214111568,
|
| 77 |
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"Personal About Page": 0.057549342285841715,
|
| 78 |
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"Personal Blog": 0.033142972107976676,
|
| 79 |
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"User Reviews": 0.027614699173718695
|
| 80 |
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},
|
| 81 |
+
"0.01": {
|
| 82 |
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"Academic Writing": 0.050818595901131636,
|
| 83 |
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"Creative Writing": 0.07435961253941059,
|
| 84 |
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"Knowledge Article": 0.046408899173140526,
|
| 85 |
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"News Article": 0.04519011946022511,
|
| 86 |
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"Nonfiction Writing": 0.03979125033318996,
|
| 87 |
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"Personal About Page": 0.09494371058046819,
|
| 88 |
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"Personal Blog": 0.05188002179563046,
|
| 89 |
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"User Reviews": 0.044581359669566153
|
| 90 |
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},
|
| 91 |
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"0.02": {
|
| 92 |
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"Academic Writing": 0.09393558585643769,
|
| 93 |
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|
| 94 |
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"Knowledge Article": 0.08171488928794861,
|
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"News Article": 0.08126413011550904,
|
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"Nonfiction Writing": 0.06447851371765137,
|
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|
| 98 |
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|
| 99 |
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"User Reviews": 0.0763768013715744
|
| 100 |
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},
|
| 101 |
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"0.05": {
|
| 102 |
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"Academic Writing": 0.2177590584754944,
|
| 103 |
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"Creative Writing": 0.21153780460357668,
|
| 104 |
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"Knowledge Article": 0.1741941303014755,
|
| 105 |
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"News Article": 0.18787248730659487,
|
| 106 |
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"Nonfiction Writing": 0.15784218668937683,
|
| 107 |
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"Personal About Page": 0.3007956659793854,
|
| 108 |
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"Personal Blog": 0.18340661823749543,
|
| 109 |
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"User Reviews": 0.16683488667011265
|
| 110 |
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},
|
| 111 |
+
"0.1": {
|
| 112 |
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"Academic Writing": 0.38454339504241947,
|
| 113 |
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"Creative Writing": 0.3564952921867371,
|
| 114 |
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"Knowledge Article": 0.32872443199157714,
|
| 115 |
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"News Article": 0.3589416813850403,
|
| 116 |
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"Nonfiction Writing": 0.28578355789184573,
|
| 117 |
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"Personal About Page": 0.4639974355697632,
|
| 118 |
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|
| 119 |
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"User Reviews": 0.30377557992935184
|
| 120 |
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},
|
| 121 |
+
"0.2": {
|
| 122 |
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"Academic Writing": 0.6284469676017761,
|
| 123 |
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"Creative Writing": 0.5545444560050965,
|
| 124 |
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"Knowledge Article": 0.5475596499443054,
|
| 125 |
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"News Article": 0.5851231265068055,
|
| 126 |
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"Nonfiction Writing": 0.5006991600990296,
|
| 127 |
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"Personal About Page": 0.6657140803337097,
|
| 128 |
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"Personal Blog": 0.5368955302238465,
|
| 129 |
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"User Reviews": 0.5169659304618835
|
| 130 |
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}
|
| 131 |
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},
|
| 132 |
+
"per_topic": {
|
| 133 |
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"0.005": {
|
| 134 |
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"Health": 0.02771503714434355
|
| 135 |
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},
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| 136 |
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"0.01": {
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| 137 |
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| 138 |
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"Education & Jobs": 0.04893901671240653,
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"History": 0.0766941011790223,
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| 155 |
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| 156 |
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| 157 |
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"0.02": {
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| 158 |
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| 231 |
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},
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"0.2": {
|
| 233 |
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| 234 |
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"Crime & Law": 0.6552673164060561,
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| 243 |
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| 249 |
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| 250 |
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| 251 |
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"Software": 0.5090397173162516,
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| 252 |
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"Software Dev.": 0.5467288027351029,
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| 253 |
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| 254 |
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| 255 |
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"Travel": 0.5617562549530013
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| 256 |
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}
|
| 257 |
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}
|
| 258 |
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}
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