```xml <result> <column_name>lost_B</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.85</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>true</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>sum</primary_reducer> <valid_reducers>sum, min, max, mean, median, count, distribution</valid_reducers> <excluded_reducers>product (not a ratio), geomean (not a ratio)</excluded_reducers> <average_semantics>arithmetic_mean</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>sum</inner_measure_reducer> <outer_measure_reducer>sum</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 per the gate prior. The column name "lost_B" suggests a count or quantity of items lost (category B), which is a classic extensive additive measure. The data is strictly non-negative with zeros excluded from the sample but a min of 0.0, ranging from 0 to 511 with unbounded upper magnitude—all consistent with a count or accumulation. No multiplicative naming tokens (ratio, rate, factor) are present, and the range is far from 1.0. Classification: real_additive with sum as the primary reducer. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```