```xml <result> <column_name>Energy Efficiency</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.72</confidence> <requires_user_confirmation>true</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>mean</primary_reducer> <valid_reducers>mean, min, max, median</valid_reducers> <excluded_reducers>sum (summing efficiency levels is meaningless), product (not a ratio)</excluded_reducers> <average_semantics>arithmetic_mean</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>min</inner_measure_reducer> <outer_measure_reducer>max</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>false</multiplicative_partner_derivable> <reasoning> DIMENSION table with no sequence axis strongly gates against multiplicative. The column name "Energy Efficiency" suggests an intensive measure (efficiency is typically a level or rate), but the extremely large magnitude values (12 billion to 2.8 trillion) are inconsistent with typical efficiency metrics (which are usually ratios near 1.0 or percentages). The values appear to be absolute quantities with large scale, but "efficiency" semantically implies a level where summing is meaningless and averaging is appropriate. Classified as intensive_additive due to the efficiency naming, though the magnitude anomaly and lack of mean/median statistics reduce confidence and warrant user review. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```