```xml <result> <column_name>DMDY</column_name> <family>uncertain</family> <subtype>none</subtype> <confidence>0.0</confidence> <requires_user_confirmation>true</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>n/a</primary_reducer> <valid_reducers>none</valid_reducers> <excluded_reducers>all - column is VARCHAR, not numeric</excluded_reducers> <average_semantics>n/a</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>n/a</inner_measure_reducer> <outer_measure_reducer>n/a</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>false</multiplicative_partner_derivable> <reasoning> This column has dtype VARCHAR, not a numeric type. The classification engine is designed for numeric measures only. The sample values appear to be string representations of negative integers ("-10", "-11", etc.), but without numeric statistics (all null), no family or subtype can be determined. This requires user confirmation to clarify whether the column should be cast to numeric for measure analysis, or if it represents categorical/dimensional data that is out of scope for measure classification. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```