```xml <result> <column_name>best_score</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.85</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>max</primary_reducer> <valid_reducers>max, mean, median, min, distribution</valid_reducers> <excluded_reducers>sum (summing scores across entities 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 priors against multiplicative. The column name "best_score" indicates a performance metric or quality level - an intensive measure. Values are bounded [0.0, 1.0] representing normalized scores, not centered near 1.0 (multiplicative identity) but spanning a quality range. The "best" qualifier suggests this is already an aggregated maximum per entity, making max the natural primary reducer for further rollup. Summing scores across entities is meaningless; averaging or taking max/min are the valid operations for score levels. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```