IdeaLens-ModernBERT-L / thresholds.json
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Rename the corpus IdeaLens-1M -> WildOutlines
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{
"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": {
"0.001": 0.005139531451277435,
"0.005": 0.024237636476755142,
"0.01": 0.05541279539465904,
"0.02": 0.182997182905674,
"0.05": 0.6486834049224853,
"0.1": 0.8966140151023865,
"0.2": 0.9773707389831543
},
"per_format": {
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"Creative Writing": 0.05771391174197197,
"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
},
"0.01": {
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"Creative Writing": 0.1665476575791836,
"Knowledge Article": 0.03676119011640549,
"News Article": 0.046824600577354436,
"Nonfiction Writing": 0.029045478478074076,
"Personal About Page": 0.12370659753680231,
"Personal Blog": 0.11285716816782951,
"User Reviews": 0.08841504457592966
},
"0.02": {
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"Creative Writing": 0.36964609414339067,
"Knowledge Article": 0.08466875571012497,
"News Article": 0.16145060497522357,
"Nonfiction Writing": 0.07510314583778382,
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"Personal Blog": 0.3270333116650582,
"User Reviews": 0.2942755115628243
},
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"Knowledge Article": 0.3667260706424713,
"News Article": 0.5772577738761903,
"Nonfiction Writing": 0.4114002323150635,
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"Personal Blog": 0.7110324096679688,
"User Reviews": 0.7446396446228027
},
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"News Article": 0.8600945830345154,
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"User Reviews": 0.9365684390068054
},
"0.2": {
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}
},
"per_topic": {
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},
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"Religion": 0.05817645865597424,
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"Social Life": 0.04563931021024928,
"Sports & Fitness": 0.06428856616490729,
"Transportation": 0.07430894629724619,
"Travel": 0.0492034640790918
},
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}
}
}