```xml <result> <column_name>Epochs</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.82</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 is DIMENSION with no sequence axis, making multiplicative highly implausible per the gate prior. Column name "Epochs" suggests a count or iteration quantity (training epochs in ML contexts), which is an extensive additive measure. The range [0.0, 191400.0] with large unbounded magnitude and no center near 1.0 strongly supports real_additive. Sample values include fractional epochs (0.12, 0.22, 0.3, 0.4), consistent with partial epoch counts that accumulate. High null fraction (77%) does not affect family classification. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```