I need to identify the main categorical columns and find the most common values for each. From the evidence, I can see several key categorical dimensions. Let me query the most frequent values for the primary categorical columns. {"action": "tool_call", "reasoning": "I'll query the top values and their frequencies for the main categorical columns: Domain, Organization, Task, Approach, Model accessibility, and Confidence. These appear to be the primary classifiers based on the card and column inspection.", "tool": "query_sql", "args": {"sql": "WITH domain_counts AS (SELECT 'Domain' as category, Domain as value, COUNT(*) as frequency FROM raw.all_ai_models GROUP BY Domain ORDER BY frequency DESC LIMIT 10), org_counts AS (SELECT 'Organization' as category, Organization as value, COUNT(*) as frequency FROM raw.all_ai_models GROUP BY Organization ORDER BY frequency DESC LIMIT 10), task_counts AS (SELECT 'Task' as category, Task as value, COUNT(*) as frequency FROM raw.all_ai_models GROUP BY Task ORDER BY frequency DESC LIMIT 10), approach_counts AS (SELECT 'Approach' as category, Approach as value, COUNT(*) as frequency FROM raw.all_ai_models GROUP BY Approach ORDER BY frequency DESC LIMIT 10), access_counts AS (SELECT 'Model accessibility' as category, \"Model accessibility\" as value, COUNT(*) as frequency FROM raw.all_ai_models GROUP BY \"Model accessibility\" ORDER BY frequency DESC LIMIT 10), confidence_counts AS (SELECT 'Confidence' as category, Confidence as value, COUNT(*) as frequency FROM raw.all_ai_models GROUP BY Confidence ORDER BY frequency DESC LIMIT 10) SELECT * FROM domain_counts UNION ALL SELECT * FROM org_counts UNION ALL SELECT * FROM task_counts UNION ALL SELECT * FROM approach_counts UNION ALL SELECT * FROM access_counts UNION ALL SELECT * FROM confidence_counts", "purpose": "Get the top 10 most common values and their frequencies for each main categorical column", "source": "raw"}}