```xml <result> <column_name>target_value</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 reducers - column is VARCHAR with 100% nulls, no numeric data available</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 is VARCHAR dtype with 100% null values across all 2 rows, providing zero numeric data for classification. No statistics are computable, no naming signals indicate numeric measure behavior, and the DIMENSION table type with no sequence axis precludes any reconstruction tests. Classification is impossible without actual numeric data. This requires immediate user review to determine if the column should be excluded from measure processing entirely. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```