C.11.CRC:6 - Bias Annotation

• Scalar bias: do not hide protected coordinates or distributional effects inside one score.
• Smoothness bias: do not replace a realizable finite change with a derivative outside its validity region.
• Additivity bias: inspect complements, substitutes, overlap, thresholds, congestion, and common causes.
• Empty-baseline bias: start from the actual current configuration unless another baseline is explicitly the decision subject.
• Physics-prestige bias: a variational or thermodynamic form does not establish a physical mechanism or decision authority.
• Information-as-result bias: expected information and option value are inputs to choice, not already realized target-System benefit.