diff --git a/docs/manual/source/ConfrontPredictions.rst b/docs/manual/source/ConfrontPredictions.rst
index e29896587..da20a384a 100644
--- a/docs/manual/source/ConfrontPredictions.rst
+++ b/docs/manual/source/ConfrontPredictions.rst
@@ -224,7 +224,8 @@ is based on the asymptotic formulas of *Asymptotic formulae for likelihood-based
 By default, the control regions (CRs) are removed from the statistical model. The possibility to prevent this has been added with SModelS v.2.2.0 through the *includeCRs* flag in the *globalInfo.txt* files.
 From v3.0.0 onward, SModelS can emulate signal leaking into the CRs if efficiency maps are provided for them. The statistical treatment of CRs is identical to the one of SRs, except that the former are not allowed to individually constrain the tested model. If *includeCRs = False* in the *globalInfo.txt* file, the CRs as well as the leaking signals are removed from the statistical model.
 Additionally, v3.0.0 added the possibility to incorporate signal uncertainty within the statistical model. When a value is provided in the *signalUncertainty* field of the *globalInfo.txt* file, each nominal signal of each bin of each channel (CRs as well as SRs) can be modified through an additive nuisance parameter constrained by a Gaussian (more precisely, it is done through `pyhf <https://scikit-hep.org/pyhf/>`_ "correlated shape" modifiers).
-These features are used at the level of analysis implementation and cannot be turned on or off by the user.
+These choices have been made at the level of the analysis implementation
+and are not directly accessible to the user.
 
 The :ref:`figure below <combinedSRfigPyhf>` exemplifies how the constraints improve from
 using the best signal region (left) to using the full likelihood (right).