Feature scaling starts before the model: inspect the displayed coordinate table first.
Start with raw coordinates
The displayed table has query row Q and two candidate rows A and B. The small feature runs from 0 to 4, while the large feature runs from 0 to 100.
Q=(0,90),A=(1,0),B=(4,100)
Scaling is preprocessing
Nothing has been trained. The table is only being rewritten onto a new coordinate scale before a later method reads it.
same rows, new coordinate scale
Keep the claim narrow
This is exact preprocessing arithmetic. It does not claim accuracy, calibration, learning, or generalization.
preprocessing only