```xml <result> <column_name>table_concentration_pct</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>none</primary_reducer> <valid_reducers>none</valid_reducers> <excluded_reducers>all - column is entirely null</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> The column is entirely null (null_fraction=1.0) with no computable statistics or sample values. While the name "table_concentration_pct" suggests a percentage/ratio measure (multiplicative family), there is zero data evidence to confirm this hypothesis. On a DIMENSION table without a sequence axis, multiplicative measures are already implausible by the gate prior. With no data whatsoever, classification is impossible and confidence must be 0.0. User confirmation is required before any reducer logic can be applied. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```