The precision is defined as the number of correct outputs divided by the number of postprocessed parser outputs. The overall precisions of the search-based parser and LLM are 0.78 and 0.42, respectively (SI, Table ). We comment on the merits and drawbacks of both methods in the Discussion section of this work. determining one of the four classes of morphologies. We note a high score of 0.94 from multinomial logistic regression using log-transformed concentrations, which is comparable with neural network performance. Performance of models using log-based featurization is comparable to those using linear features, with slight preference for using log-based features.