```xml <result> <column_name>looses</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.95</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 (gate prior). Column name "looses" (likely "losses") indicates a count of defeats/losses, a classic extensive quantity. The data is non-negative integer counts ranging 0-190 with no zeros excluded, centered far from 1.0, consistent with real_additive. No multiplicative naming tokens or center-of-mass near 1.0; all signals point to a count measure that accumulates via sum. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```