The construction of mechanistic models for the autoxidation of fatty acid or ester substrates found in oil paint binders is ac hallenging undertaking due to the complexity of the large crosslinked species that form, and the small molecules that volatilize. Building models that capture this product diversity are made possible by automating the process of network generation. This work presents am icrokinetic model for the autoxidation of ethyl linoleate catalyzedbycobalt(II) 2ethyl hexanoate.T he mechanism size was controlled by using ar ate-based criterion to include the most kinetically relevant reactions from among the millions of possible reactions generated. The resulting model was solved and compared to experimental metrics.Q uantities such as hexanal production and the consumption of unsaturated moieties were in good agreement with experiment. Finally,t he model was used to explore the effect of the catalyst concentration and temperature on key measurables.