Relative Generality\nand Risk: Quantitative Measures\nfor Broad Catalyst Success

The\nperformance of chiral catalysts is typically evaluated\nagainst\nempirical reaction outputs like yield and selectivity with traditional\nanalyses limited to a single model system. Expansion of the reaction\nspace permits catalysts to be assessed for generality, and this provides\nanother useful metric for measuring the effectiveness of a catalyst.\nThe catalyst generality algorithm will assign quantitative generality\nvalues to catalyst structures, but such broad assessments are applied\nwith the assumption that the reactions under evaluation are more or\nless the same by disregarding any inherent challenges associated with\na particular reaction class. To address this limitation, we introduce\ntwo metrics: relative generality and risk. These are designed to correct\nfor variations in reaction difficulty and enable a more nuanced evaluation\nof the catalyst performance relative to the specific demands of each\nreaction. We show in a number of challenging examples that these metrics\nallow researchers to distinguish between catalysts genuinely exhibiting\nsuperior performance and those appearing favorable due to application\ntoward less demanding reactions. This represents a significant advancement\nin quantifying catalyst success with demonstrated applications in\nretrospective analyses and early insights into emerging catalyst classes.