```xml <result> <column_name>style_percentile</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, median, min, max, distribution</valid_reducers> <excluded_reducers>sum (summing percentile ranks 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 (gate prior). The column name "style_percentile" indicates a rank/percentile score, which is an intensive level measure. The data confirms this: values range [0, 100] with mean ~46.5 and median ~45.4, centered in the percentile range, not near 0 or 1. Percentile ranks are ordinal positions that should be averaged (not summed) when aggregating across entities. No multiplicative evidence present; classified as intensive_additive with high confidence. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```