Probabilistic Experimental Outcome Prediction Model

Design a PostgreSQL probabilistic modeling system that can predict experimental outcomes by integrating historical research data, machine learning probability scores, and complex statistical algorithms. Develop a recursive query mechanism that can generate predictive confidence intervals, handle multiple experimental variables, and provide real-time statistical inference capabilities. Include strategies for managing model versioning and experimental lineage tracking.