Normalization Factor for a Reward-Weighted Policy

A function assigns the following unnormalized scores to three possible discrete outcomes: score(A) = 12, score(B) = 7, and score(C) = 1. To transform these scores into a valid probability distribution P(outcome), each score must be divided by a normalization factor calculated from the sum of all scores. What is the resulting probability for outcome B, P(B)?

From Model Scores to Probabilities

Converting Model Scores to Probabilities