I can see the symptom match is displayed, but it's only showing one value. Let me enhance it to show detailed breakdown of which symptoms were matched. I'll update the recommendation engine to track individual symptom matches and the UI to display them:

Now update the detailed score calculation to include symptom match details:

Now update the UI to display detailed symptom matching information. Let me add a new section showing which symptoms matched:

Now let me fix the remaining score breakdown items spacing since we expanded the symptom match section:

I've now added comprehensive symptom match details to the recommendation system. Here's what was implemented:

Enhanced Recommendation Engine:

• Added SymptomMatchDetail interface to track which specific symptoms matched and which herb symptoms they matched against
• New getSymptomMatchDetails() function that returns detailed matching information for each user-provided symptom
• Updated calculateDetailedScore() to include symptom match details in the breakdown

Enhanced UI Display:

• Added a "Symptom Breakdown" section that shows:

  • Green checkmark (✓) for matched symptoms
  • Red X (✗) for unmatched symptoms
  • The specific herb symptoms that were matched (e.g., "Matches: fatigue, exhaustion")
  • Shows up to 2 matched symptoms with a count for additional matches
• Organized all score components with clear visual hierarchy and separators
• Each score factor is now clearly labeled with its contribution value and color-coded (green for positive, orange/red for negative)

Now users can see exactly which of their symptoms matched the herb's properties and understand the complete scoring reasoning!

Let me continue reading the recommendation engine to understand the full scoring logic:

Now I understand the current system. Let me implement the research-oriented weighted scoring formula as specified. I'll update the recommendation engine with the proper weighted scoring:

Now update the symptom match calculation to return 0-1 values:

Now replace the detailed score calculation with the weighted formula:

Now add the new helper functions needed for the weighted scoring:

Now I need to update the UI component to display the weighted breakdown properly. Let me update the herbal remedy advisor component:

Now I've successfully implemented the research-oriented weighted scoring mechanism. Here's what was delivered:

Recommendation Engine Updates:

• Implemented the exact weighted formula: Final Score = (0.4 × symptom_match) + (0.2 × severity_factor) + (0.2 × duration_factor) + (0.1 × condition_match) + (0.1 × safety_factor)
• All components return 0-1 normalized values for consistency and research validity
• Added dedicated helper functions: getSeverityFactor(), getDurationFactor(), getConditionMatch() for transparent, reproducible scoring
• Created WeightedScoreComponent interface to track raw value, weight, weighted result, and label for complete transparency

UI Enhancements:

• Each scoring component displays: name, raw value, weight percentage, and weighted calculation
• Color-coded sections (blue for symptoms, yellow for severity, purple for duration, green for conditions, red for safety)
• Detailed symptom matching breakdown showing which symptoms matched and to which herb properties
• Final formula shown as mathematical equation at the bottom for research traceability
• All values normalized to 0-100 percentage for easy interpretation

This implementation ensures different herbs produce different scores based on evidence-based weighting, making it suitable for research and clinical reference.