DCL: UC-Engineer — Verification Report on PlantNet Real-World Data

This report presents the verification results of UC-Engineer v1.1.4 using real-world plant classification data (PlantNet). Testing was performed using random photographs from open internet sources, without manual curation or dataset pre-filtering. The goal of this work is to demonstrate correctness of decision-making, behavior of risk profiles (generic / lenient / strict), and to confirm deterministic behavior of the controller. UC-Engineer is designed as an architectural decision control layer that operates on top of an existing ML model and does not replace the model itself. This version represents the first implemented level of the decision control architecture. The complete architecture may include additional control and stabilization layers that can be applied on top of this layer. The results confirm compliance with the v1.1.4 specification and full reproducibility under identical input conditions. Internal formulas, weights, and policy mechanisms are not disclosed.