expand_less

score = (x) -> 

  if x == "Yes"

    10

  else

    0



weights = [0.25, 0.125, 0.125, 0.25, 0.25]

lobbying_advocacy = [impacts_on_nature, impacts_on_upstream_value_chain, impacts_on_downstream_value_chain, impacts_on_stakeholder, impacts_on_nature_including_biodiversity]



weights.reduce((weighted_sum, weight, index) -> 

              weighted_sum + weight*score(lobbying_advocacy[index])

             , 0)