```xml <result> <column_name>mean_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>mean</primary_reducer> <valid_reducers>mean, min, max, median, distribution</valid_reducers> <excluded_reducers>sum (summing a mean/average score 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> Table type is DIMENSION with no sequence axis, making multiplicative highly implausible. The column name "mean_score" explicitly indicates an averaged/normalized metric, which is an intensive property. The bounded range [0.0, 1.0] with small sample values near zero confirms this is a normalized score level, not an extensive quantity. Summing mean scores across entities is meaningless; averaging them is the natural aggregation. This is clearly intensive_additive despite the absence of computed statistics (dtype object suggests stored as string, but values parse as floats in [0,1]). </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```