Purpose: Describe a high-throughput method for the analysis of uncertain models, e. g. in biological research. Methods: Generalized modeling for conceptual analysis of large classes of models. Results: Local dynamics of uncertain networks are revealed as a function of intuitive parameters. Conclusions: Generalized modeling easily scales to very large networks.