Control slowly becomes authority when nobody marks the boundary. That is the calibration problem I kept running into while building STEM BIO-AI. At first, STEM BIO-AI was centered on the score. It scanned a local bio or medical AI repository, inspected observable repository surfaces, and mapped the repository to a structured review tier. That was useful. But it was not enough. The harder problem was not producing a number. The harder problem was preventing every useful adjacent signal from becoming part of that number. In a bio/medical AI repository review system, several lanes can look similar if the tool is not careful: deterministic scoring diagnostic findings replication evidence advisory interpretation domain-specific review posture They all matter. But they should not all have the same authority. That is the core reason calibration became a governance problem in the 1.7.x line. The principle is simple: easy experimentation, hard drift STEM BIO-AI should let researchers express review posture.…