{
 "model": "rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly",
 "input": "role sequence",
 "flag_rule": "flag the document as AI when P(human) < cut",
 "calibration": {
  "data": "WildOutlines, calibration split (human documents only)",
  "scores_from": "the training run's stored predictions on the calibration split",
  "n_humans": 80000,
  "n_per_format": {
   "Academic Writing": 10000,
   "Creative Writing": 10000,
   "Knowledge Article": 10000,
   "News Article": 10000,
   "Nonfiction Writing": 10000,
   "Personal About Page": 10000,
   "Personal Blog": 10000,
   "User Reviews": 10000
  },
  "n_per_topic": {
   "Art & Design": 3338,
   "Crime & Law": 3931,
   "Education & Jobs": 3974,
   "Entertainment": 4692,
   "Fashion & Beauty": 2999,
   "Finance & Business": 4855,
   "Food & Dining": 2696,
   "Games": 4257,
   "Hardware": 2253,
   "Health": 5069,
   "History": 2554,
   "Home & Hobbies": 4192,
   "Industrial": 2299,
   "Literature": 3571,
   "Politics": 3728,
   "Religion": 3617,
   "Science & Tech.": 4154,
   "Social Life": 3126,
   "Software": 2257,
   "Software Dev.": 2468,
   "Sports & Fitness": 4224,
   "Transportation": 2810,
   "Travel": 2936
  }
 },
 "method": {
  "global": "the target-FPR quantile of P(human) over all calibration humans",
  "per_group": "the group's own quantile, shrunk toward the global cut with weight n / (n + 2500)",
  "min_group_humans": 200,
  "estimability": "a cut at FPR q is given only when q * n >= 25 calibration humans",
  "missing_cut": "no cut for a group means none could be estimated; do not substitute the global cut"
 },
 "fpr_targets": [
  0.001,
  0.005,
  0.01,
  0.02,
  0.05,
  0.1,
  0.2
 ],
 "global": {
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  "0.01": 0.050820946171879766,
  "0.02": 0.08874025583267212,
  "0.05": 0.19271590709686282,
  "0.1": 0.3445788145065308,
  "0.2": 0.5637847781181335
 },
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   "Creative Writing": 0.050780254583805806,
   "Knowledge Article": 0.02830683707818389,
   "News Article": 0.029749106999486685,
   "Nonfiction Writing": 0.026594594214111568,
   "Personal About Page": 0.057549342285841715,
   "Personal Blog": 0.033142972107976676,
   "User Reviews": 0.027614699173718695
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   "Creative Writing": 0.07435961253941059,
   "Knowledge Article": 0.046408899173140526,
   "News Article": 0.04519011946022511,
   "Nonfiction Writing": 0.03979125033318996,
   "Personal About Page": 0.09494371058046819,
   "Personal Blog": 0.05188002179563046,
   "User Reviews": 0.044581359669566153
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   "Knowledge Article": 0.08171488928794861,
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   "Nonfiction Writing": 0.06447851371765137,
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   "User Reviews": 0.0763768013715744
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   "Knowledge Article": 0.1741941303014755,
   "News Article": 0.18787248730659487,
   "Nonfiction Writing": 0.15784218668937683,
   "Personal About Page": 0.3007956659793854,
   "Personal Blog": 0.18340661823749543,
   "User Reviews": 0.16683488667011265
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   "Creative Writing": 0.3564952921867371,
   "Knowledge Article": 0.32872443199157714,
   "News Article": 0.3589416813850403,
   "Nonfiction Writing": 0.28578355789184573,
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 },
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   "Health": 0.02771503714434355
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   "Art & Design": 0.06455368360228206,
   "Crime & Law": 0.0848147056484747,
   "Education & Jobs": 0.04893901671240653,
   "Entertainment": 0.052776282767416104,
   "Fashion & Beauty": 0.046214627183094464,
   "Finance & Business": 0.03809387910561566,
   "Food & Dining": 0.05620163321994055,
   "Games": 0.04456916508782946,
   "Health": 0.050240179982603834,
   "History": 0.0766941011790223,
   "Home & Hobbies": 0.05156919388435625,
   "Literature": 0.059639217307153866,
   "Politics": 0.06667086019571308,
   "Religion": 0.04779367122472122,
   "Science & Tech.": 0.05703240220951432,
   "Social Life": 0.05028271657099217,
   "Sports & Fitness": 0.054226262268434675,
   "Transportation": 0.05702462560109611,
   "Travel": 0.0513493331452123
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   "Software Dev.": 0.09487202663196553,
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 }
}