code: def computed_fitting_parameters(self):
          
          fitted_parameters = []
          for (i, v) in enumerate(self.fitting_parameters):
              param = v.copy()
              param['value'] = self.fitted_parameters[i] * prefix_factor(param)**(-1)
              fitted_parameters.append(param)
  
          return fitted_parameters
docs: A list identical to what is set with `scipy_data_fitting.Fit.fitting_parameters`,
          but in each dictionary, the key `value` is added with the fitted value of the quantity.
          The reported value is scaled by the inverse prefix.