fix: remove hidden score modifiers + fix Zürich auto-inference false positive

Score formula simplified to: finalScore = round(hard×60% + soft×40%)
Removes dataQualityModifier, confidenceModifier, mustHaveEval.scoreImpact —
the breakdown panel now always matches the displayed score.

Also removes 'industrie groove' from Zürich-only location signals — the phrase
describes an aesthetic preference, not a district reference.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/features/matching/scoreCalculator.ts

@@ -584,17 +584,8 @@ export function calculateScore(need: Need, property: Property): MatchEngineOutpu
   ]
   const mustHaveEval = scoreMustHaves(allMustHaveText, property)
 
-  // ── Modifiers: data quality and confidence adjust the final score ─────────
-  // These are intentionally applied after the hard/soft weighted sum so that
-  // a low-confidence or poor-data property can be penalised without distorting
-  // the individual criterion breakdown.
-  const dataQualityModifier = calcDataQualityModifier(property)
-  const confidenceModifier  = calcConfidenceModifier(property)
-
-  // ── Final score: hard/soft weighted sum + must-have penalty + modifiers ───
-  const baseScore = hardMatchScore * 0.60 + softFactorScore * 0.40
-  const rawFinal = baseScore - hardFilter.severePenalty + mustHaveEval.scoreImpact
-    + dataQualityModifier + confidenceModifier
+  // ── Final score: hard/soft weighted sum, clamped 0–100 ───────────────────
+  const rawFinal = hardMatchScore * 0.60 + softFactorScore * 0.40 - hardFilter.severePenalty
   const finalScore = Math.round(Math.min(100, Math.max(0, rawFinal)))
 
   // ── Factor classification — only use weighted soft factors for positive/negative ──
@@ -622,8 +613,8 @@ export function calculateScore(need: Need, property: Property): MatchEngineOutpu
     finalScore,
     hardMatchScore,
     softFactorScore,
-    dataQualityModifier,
-    confidenceModifier,
+    dataQualityModifier: 0,
+    confidenceModifier: 0,
     positiveFactors,
     negativeFactors,
     allHardFactors: hardFactors,

src/services/ai/mock/needParser.ts

@@ -60,8 +60,7 @@ export function mockParseNeed(input: string): ParseNeedResult {
 
   // Contextual Zürich inference: only truly Zürich-specific place/brand names
   const ZURICH_ONLY_SIGNALS = [
-    'industrie groove', 'industrie-groove',
-    'pfingstweidstrasse', 'hardbrücke', 'freilager', 'europaallee',
+    'pfingstweidstrasse', 'freilager', 'europaallee',
     'zürich-west', 'zürich west', 'zürich nord', 'zürich süd',
     'hürlimann', 'viadukt', 'schiffbau',
   ]