<result> <column_name>Daily_Usage_Hours</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.65</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 multiplicative is highly implausible and the prior leans additive, real_additive for physical quantities. The name token "Hours" is a duration unit, which points to real_additive. The values are strictly positive, with mean 5.3 and median 4.7, far from 1.0. They are not ratio-like, so I discounted the positive log_symmetry_gain, which only reflects right skew. Summing usage hours across entities gives a meaningful aggregate (total daily hours), so sum is valid. Confidence is moderate because a per-entity daily average could also be treated as an intensive level, where mean would be the natural rollup. </reasoning> <table_type_conflict>false</table_type_conflict> </result>