Thanks for being here today.
We talked before about modelling and real-world data, and that kind of thing. I just want to come back to that again. You said that Bayer had 22 studies done on aquatic invertebrates and they were rejected by the PMRA. When they were here, they talked about how they see modelling data as being important. I guess we're all aware of how unpredictable and uncertain that can be. They also talked about focus on predicting levels in water bodies with the EPA.
How does modelling and lab data and real-world data fit together, and how would you like to see that fit together in order to get a better balance in decisions such as this?