Anyone willing to summarize Xtriage's algorithm that determines whether "anisotropic induced noise amplification" is present in diffraction data?  What is this noise amplification?  Is it anisotropic correction factors that over-fit the data thereby inducing noise?

Many thanks,
Jim T

----------------    Anisotropy analyses     ----------------

Anisotropy    ( [MaxAnisoB-MinAnisoB]/[MaxAnisoB] ) :  3.596e-01
                          Anisotropic ratio p-value :  0.000e+00

     The p-value is a measure of the severity of anisotropy as observed in the PDB.
     The p-value of 0.000e+00 indicates that roughly 100.0 % of datasets available in the PDB have
     an anisotropy equal to or worse than this dataset.


For the resolution shell spanning between 2.36 - 2.20 Angstrom,
the mean I/sigI is equal to  3.37. 42.2 % of these intensities have
an I/sigI > 3. When sorting these intensities by their anisotropic
correction factor and analysing the I/sigI behavior for this ordered
list, we can gauge the presence of 'anisotropy induced noise amplification'
in reciprocal space.

  The quarter of Intensities *least* affected by the anisotropy correction show
    <I/sigI>                 :   3.82e+00
    Fraction of I/sigI > 3   :   5.01e-01     ( Z =     3.59 )

  The quarter of Intensities *most* affected by the anisotropy correction show
    <I/sigI>                 :   2.02e+00
    Fraction of I/sigI > 3   :   1.84e-01     ( Z =    10.78 )

The combined Z-score of    11.36 indicates that there probably is significant
systematic noise amplification that could possibly lead to artefacts in the
maps or difficulties in refinement