既有最强大脑，也有末梢神经

Core Insights - The article highlights the successful implementation of a big data legal supervision model for community correction in Baotou City, Inner Mongolia, which has significantly improved the monitoring and management of community correction subjects over the past decade [1][2] Group 1: Model Implementation and Functionality - The community correction big data legal supervision model integrates nearly 10 years of electronic trajectory data, addressing challenges in traditional supervision methods such as difficulty in discovering clues and low regulatory efficiency [1] - The model allows real-time monitoring and dynamic analysis of community correction subjects, enabling prosecutors to easily access relevant alerts with a click of a mouse [1] - A specific case in February 2025 demonstrated the model's effectiveness when it alerted authorities about a community correction subject who failed to report on time, leading to a timely correction of procedural flaws by the court [1] Group 2: Features and Recognition - The model includes 12 analytical rules, such as automatic comparison of historical trajectories with electronic fence data when a community correction subject moves across districts without reporting [2] - The model has received widespread recognition, being awarded as an excellent big data legal supervision model by the Inner Mongolia Autonomous Region Prosecutor's Office and is set to be promoted throughout the region [2] - As of now, the model has been adopted and applied 151 times by various prosecutorial agencies across the country [2] Group 3: Future Developments and Collaboration - The Baotou City Prosecutor's Office plans to continue enhancing the model's application and strengthen collaboration with judicial administrative departments to improve information sharing and coordination mechanisms [2] - A manual for the application of criminal execution inspection big data supervision models has been compiled, featuring 74 advanced models to guide grassroots prosecutorial agencies in utilizing digital models for community correction supervision [2]