{
 "model": "rishanthrajendhran/IdeaLens-ModernBERT-L",
 "input": "outline",
 "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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  "0.1": 0.8966140151023865,
  "0.2": 0.9773707389831543
 },
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   "Knowledge Article": 0.019235945463180543,
   "News Article": 0.019345112003386022,
   "Nonfiction Writing": 0.016097568452358248,
   "Personal About Page": 0.04852480654418469,
   "Personal Blog": 0.03317504641413689,
   "User Reviews": 0.02776208963990212
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   "Creative Writing": 0.1665476575791836,
   "Knowledge Article": 0.03676119011640549,
   "News Article": 0.046824600577354436,
   "Nonfiction Writing": 0.029045478478074076,
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   "User Reviews": 0.08841504457592966
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   "Knowledge Article": 0.3667260706424713,
   "News Article": 0.5772577738761903,
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   "User Reviews": 0.7446396446228027
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   "Knowledge Article": 0.8029681372642518,
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 },
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   "Crime & Law": 0.07036863836068664,
   "Education & Jobs": 0.05330997003780395,
   "Entertainment": 0.04512200002518127,
   "Fashion & Beauty": 0.088135457826969,
   "Finance & Business": 0.04148502488309716,
   "Food & Dining": 0.05131299507598449,
   "Games": 0.05958534698312023,
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   "History": 0.11171335421877035,
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   "Literature": 0.09868350075013241,
   "Politics": 0.07981549680108586,
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   "Science & Tech.": 0.05320098759011352,
   "Social Life": 0.04563931021024928,
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   "Transportation": 0.07430894629724619,
   "Travel": 0.0492034640790918
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 }
}