Probabilistic Financial Anomaly Detection Schema

Design a sophisticated database schema and query framework for detecting probabilistic financial anomalies across massive transaction datasets. Create a Laravel-powered system that implements advanced statistical modeling, supports real-time anomaly scoring, and provides comprehensive feature extraction for machine learning-based detection. Develop strategies for handling false positives and adaptive threat modeling.