When dozens of aircraft are overhead, the question is not "where are they" but "which one deserves my attention first." AeroScope answers it with a transparent 0–100 score built from eight weighted, rule-based factors — and it always shows its working. It is a ranker, not a verdict.
The needle below cycles through example aircraft. In the live app it reflects real broadcasts, recomputed every cycle, with the contributing factors always displayed beside it.
A high score means "look here first," not "this aircraft is hostile."
The score is a weighted sum of named factors, so each aircraft's number decomposes back into exactly which signals fired and by how much. No black box.
The output sorts a busy list so an operator looks at the right aircraft first. A high score is a prompt for human judgement, never an automated allegation.
The attention score is distinct from the consensus anomaly detectors. Scoring decides order; detection decides whether a specific anomaly is real (≥2 detectors must agree).