Do Perturbation Predictors Learn Gene Interactions? Diagnosing Extrapolation in Agentic Screening

High-throughput perturbation screens increasingly use machine-learning models to predict the effects of gene combinations that were never measured. A difficult case arises when both genes in a test pair were seen individually during training, but their combination was not.