system
You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.
user
I need experiment result details in CSV structure.
assistant
Approach:
1. Task: Create experiment result in CSV
2. Complexity: medium - 5-8 fields, 2-3 levels
3. Format rules: header row, comma-separated, quoted fields with commas
4. Structure: Organize data logically with appropriate nesting
5. Populate fields with realistic example data based on the schema.

Output:
conclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title
significant,EXP-874142,cohort,91,379,"[{""metric"": ""efficacy"", ""baseline"": 33.04, ""endpoint"": 58.85, ""p_value"": 0.0602}, {""metric"": ""effica",Effect of chair on some
non-significant,EXP-225124,observational,123,798,"[{""metric"": ""safety"", ""baseline"": 66.22, ""endpoint"": 13.03, ""p_value"": 0.3386}, {""metric"": ""safety"",",Effect of catch on their
non-significant,EXP-787074,observational,94,817,"[{""metric"": ""efficacy"", ""baseline"": 28.19, ""endpoint"": 59.54, ""p_value"": 0.3252}, {""metric"": ""safety",Effect of while on offer
non-significant,EXP-440986,cohort,214,877,"[{""metric"": ""efficacy"", ""baseline"": 81.17, ""endpoint"": 16.67, ""p_value"": 0.1457}, {""metric"": ""effica",Effect of focus on around
significant,EXP-432079,cohort,349,923,"[{""metric"": ""efficacy"", ""baseline"": 19.9, ""endpoint"": 82.62, ""p_value"": 0.235}, {""metric"": ""safety"",",Effect of whose on woman
