Top: parameter impact on the model output as estimated by the neural network model ranked by decreasing impact. High parameter values are color-coded in red, while low values are displayed in blue. Bottom: predicted probability for each binary star example on the test dataset (black dots), together with a detection probability proxy computed as p=1−Φ(S/N, δ)), where Φ is the CDF of the normal distribution, S/N=α/σ, and δ is a variable S/N threshold from 1 to 3.