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The results show that skill representation itself matters, and that simply preserving the structure already present in skill files can substantially improve retrieval.
This work proposes a proof-of-concept pipeline that delivers on building an AI system that can ingest multi-modal data for railway crossings and provide safety assessment and scores that align with expert opinion and with safety scoring used by the Federal Railroad Administration.
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