<result> <column_name>number_of_matches</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.93</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>The table is a DIMENSION with no sequence axis, so the prior strongly favors additive and rules out multiplicative. The name "number_of_matches" is a count token, and the data agree: a strictly positive integer count, unbounded above (max 577), with mean 20.3 and median 3.0, well away from 1.0. The high log_symmetry_gain reflects right skew typical of counts. It is not evidence of a ratio, so I did not treat it as one. Summing matches across merged entities is meaningful, so this is real_additive. No sequence axis exists, so no multiplicative partner is derivable.</reasoning> <table_type_conflict>false</table_type_conflict> </result>