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    {
      "threshold": 0.86,
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    {
      "threshold": 0.87,
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    {
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    },
    {
      "threshold": 0.89,
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      "any_label_fpr": 0.0026
    },
    {
      "threshold": 0.9,
      "macro_f1": 0.9692,
      "any_label_recall": 0.9815,
      "any_label_fpr": 0.0026
    },
    {
      "threshold": 0.91,
      "macro_f1": 0.9692,
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      "any_label_fpr": 0.0023
    },
    {
      "threshold": 0.92,
      "macro_f1": 0.9692,
      "any_label_recall": 0.9806,
      "any_label_fpr": 0.0023
    },
    {
      "threshold": 0.93,
      "macro_f1": 0.9688,
      "any_label_recall": 0.9806,
      "any_label_fpr": 0.0023
    },
    {
      "threshold": 0.94,
      "macro_f1": 0.9688,
      "any_label_recall": 0.9806,
      "any_label_fpr": 0.0023
    },
    {
      "threshold": 0.95,
      "macro_f1": 0.9688,
      "any_label_recall": 0.9806,
      "any_label_fpr": 0.0023
    }
  ],
  "notes": [
    "the chosen threshold 0.02 is the lowest value in the sweep, so the scores are compressed toward zero and this is underfitting rather than a calibration success. Check average precision before trusting the F1."
  ]
}