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Setting and applying a release and rollback bar for models and AI systems

Before evaluation, fixes the release bar for a model or AI system (minimum performance for every relevant segment, non-regression against the current version, drift and monitoring triggers), then from evidence decides release, recalibrate, retrain or roll back and explains why an average gain cannot override a failing segment.