```xml <result> <column_name>error_count</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 gate: DIMENSION with no sequence axis makes multiplicative highly implausible. Column name "error_count" contains the token "count", a strong real_additive signal. The data shows a count-like distribution: BIGINT dtype, strictly non-negative, 93.5% zeros, max of 1.0, mean 0.065 - this is a sparse binary or low-cardinality count. Center far from 1.0 (mean=0.065, median=0.0) rules out ratio_multiplicative. Sum is the natural aggregation for counts across entities. High confidence real_additive. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```