The output key is determined through code by the harness from the inputs, and the model generates 255 floats in order that follow that schema by reading the expected return type "rank" in the input. The harness then programmatically uses the floats of the 255 floats that are useful. The harness can assume that the correct float will be in the correct position as the model is trained to follow the schemas