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    {
      "threshold": 0.86,
      "macro_f1": 0.9806,
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    {
      "threshold": 0.87,
      "macro_f1": 0.9806,
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    },
    {
      "threshold": 0.88,
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    {
      "threshold": 0.89,
      "macro_f1": 0.9806,
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      "any_label_fpr": 0.0083
    },
    {
      "threshold": 0.9,
      "macro_f1": 0.9806,
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      "any_label_fpr": 0.0083
    },
    {
      "threshold": 0.91,
      "macro_f1": 0.9806,
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      "any_label_fpr": 0.0083
    },
    {
      "threshold": 0.92,
      "macro_f1": 0.9806,
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      "any_label_fpr": 0.0083
    },
    {
      "threshold": 0.93,
      "macro_f1": 0.9797,
      "any_label_recall": 0.9743,
      "any_label_fpr": 0.0083
    },
    {
      "threshold": 0.94,
      "macro_f1": 0.9788,
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      "any_label_fpr": 0.0083
    },
    {
      "threshold": 0.95,
      "macro_f1": 0.9788,
      "any_label_recall": 0.9725,
      "any_label_fpr": 0.0083
    }
  ],
  "notes": [],
  "note": "**This threshold is not a tuned parameter, and the shipped policy default stays at 0.89.** Two seeds on the identical corpus read 0.10 and 0.36, a spread of 0.26, the same shape as nsfw's calibration on the same retrain campaign. Per-language quality is stable across the two seeds (mean spread 0.0015), the threshold picked from a flat curve is not. 0.89 is the value reviewed and shipped before this retrain and is unchanged by it."
}