In your role at a leading social media company, you are responsible for developing a machine learning model to automatically identify and categorize images that contain cars. The model uses an object detection neural network, and each training example is associated with a single class. After deploying the model to AI Platform Prediction for evaluation, you observe that the precision metrics do not meet the stringent business requirements set by your company. The current model's performance is critical for ensuring user satisfaction and compliance with data accuracy standards. Given the scenario, which of the following adjustments to the model's softmax threshold in the final layer would most effectively improve precision, considering the trade-offs between precision and recall? Choose the best option.