Positive BF inclusion for interaction but model with interaction not best model
I am contemplating how to use/interpret the BFinclusion factor in light of the principle of marginality used in JASP. I have a 2x2 between subject design where the BFinclusions for the respective main effects and the interaction are Main1: 0.225, Main2: 52.809 and Interaction: 3.042. Thus, while there is evidence for including the interaction, the model with the strongest support is the one only including main effect 2(BFm: 4.3, BF10: 53), while the model including both main effects and the interaction effect (BFm: 2.2, BF10:37) is clearly being "dragged down" by Main effect1.
It seems resonable to me to conclude that there is an effect of Main2 and an interaction. Although such a model is not tested in itself. How would you approach this situation?