High performing adsorbents are characterised by their ability to minimise the cost of CO2 capture while meeting the CCS requirements. It is not a priori evident what combination of material properties leads to these requirements being satisfied, so we conduct preliminary purity-recovery optimisations in two stages. Low performing adsorbents are first identified by their ANN-generated Pareto fronts and discarded from our subsequent analysis. We define a low performing material as one which does not satisfy the CCS constraints for any FF. For the 218 materials that remain after this pre-screening, high quality Pareto data is generated by refining the ANN results with the PSA process model for an additional 10 NSGA-II generations. This mitigates any potential bias in the ML process and ensures that the conclusions drawn are established using accurate process simulation data. Moving forwards, we only consider the 218 MOFs in our uncertainty calculations. We designate this subset of MOFs as CRAFTED-u.