how to exclude a model from a relationship confrontation?; OR how to get proper gray values for the overall relationship score?

[mcguirepatr]

Hi ILAMB'ers: For models that are missing data, they show gray values for the overall score for a (single-variable) confrontation. This is good.

But for a (two-variable) relationship confrontation, there are two overall scores given for this confrontation. For example, in the summary plot for the confrontation of GrossPrimaryProductivity/FLUXCOM with Evapotranspiration/GLEAMv3.3a, if evapotranspiration is missing for a given model, but gpp is available for that model, then there will be a gray score in the relationship for that model for evaporation, but not for gpp. I think it should be a gray score for both variables. Or how can I exclude just a single model from this relationship confrontation?

Here's the sample code for this confrontation:

[h2: Gross Primary Productivity]
variable       = "gpp"
cmap           = "Greens"
weight         = 5
mass_weighting = True
[FLUXCOM]
source        = "DATA/gpp/FLUXCOM/gpp.nc"
weight        = 15
table_unit    = "Pg yr-1"
plot_unit     = "g m-2 d-1"
space_mean    = False
skip_iav      = True
relationships = "Evapotranspiration/GLEAMv3.3a"

And here is the ILAMB homepage for the run I did: https://gws-access.jasmin.ac.uk/public/ncas_climate/pmcguire/ILAMB_output_v4_24/GCP_280724c/

Can you help? Patrick