Rebuilds a model and compares it to a reference model.

        Parameters
        ----------
        psg_trm: (([float], float, int), AMPAL, specification)
            A tuple containing the parameters, score and generation for a
            model as well as a model of the best scoring parameters.

        Returns
        -------
        energy_rmsd_gen: (float, float, int)
            A triple containing the BUFF score, RMSD to the top model
            and generation of a model generated during the minimisation.

def funnel_rebuild(psg_trm_spec):
        """Rebuilds a model and compares it to a reference model.

        Parameters
        ----------
        psg_trm: (([float], float, int), AMPAL, specification)
            A tuple containing the parameters, score and generation for a
            model as well as a model of the best scoring parameters.

        Returns
        -------
        energy_rmsd_gen: (float, float, int)
            A triple containing the BUFF score, RMSD to the top model
            and generation of a model generated during the minimisation.
        """
        param_score_gen, top_result_model, specification = psg_trm_spec
        params, score, gen = param_score_gen
        model = specification(*params)
        rmsd = top_result_model.rmsd(model)
        return rmsd, score, gen