Who benefits from this supposed synergy between gating networks and basic methods in venture capital prediction?
The gain matrix suggests that the opposition is not just a matter of complementarity but rather an inherent tension in incentives and resource allocation.
If the gating network allocates weights and basic methods provide scores, the incentive for the basic method developer is to maximize their own score, not necessarily their contribution to the overall system.
There is a risk of suboptimal equilibrium if objectives diverge, such as a model optimized for prediction accuracy and a gating for robustness to missing data, leading to inefficient resource allocation.
For example, an investment fund in Berlin using this synergy could end up with underperforming capital allocations if the underlying models are not aligned with the dominant strategy of the gating network.