Scoring Methodology & Fairness Proof

// Total score awarded to candidate tool t across user answers:
Score(t) = Sum_{axis in {A1..A6}} (tool[t].vectors[axis].optionScores[user_choice[axis]])
MatchPercentage(t) = round((Score(t) / 60) * 100)

// Fractional Tie Conservation in 729-Path Simulation:
let max_score = max(Score(t) for all t in Tools)
let winners = { t in Tools | Score(t) == max_score }

// Every path assigns exactly 1.0 total win credit:
for t in winners:
    WinCredit(t) += 1.0 / |winners|

Each axis awards 0–10 points with a maximum total of 60 points. When two or more tools achieve the identical highest score for a workflow scenario, both are declared co-winners with equal credit.

• Mathematical Balance: Across all 729 possible answer combinations, no single tool exceeds 25% share, ensuring no single architecture monopolizes the diagnostic.
• 100% Primary Citation Verifiability: Every score vector is backed by public code line references (e.g. src/server/handoff.rs) or official documentation.
• Explicit Weaknesses on Every Profile: Recommendations explicitly list reasons NOT to use a tool alongside its strengths.