```xml <result> <column_name>avg_beer_rating</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.95</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 rating 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> Table type is DIMENSION with no sequence axis, making multiplicative highly implausible. The column name "avg_beer_rating" indicates an average rating level (intensive quantity). The data is bounded [0.1, 5.0], centered at 3.78, far from both 0 and 1, with no zeros or negatives—classic intensive_additive behavior. Summing rating levels across entities is meaningless; averaging is the natural rollup. Negative log_symmetry_gain confirms this is not a ratio distribution. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```