The machine-learning barrier estimator

A machine-learning barrier estimator was built and trained on real, openly licensed data, then evaluated with validation grouped by source article. It did not perform well enough to inform a packaging decision, so it is deliberately not connected to the recommendation path. The recommendations you see come from sourced measurements, documented scientific rules and transparent scoring.