<result> <column_name>Time_Saved_Hours_Per_Week</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.55</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 "_Per_Week" token looks like a rate, but the column is an hours-per-week duration with a fixed time denominator, not a dimensionless ratio around 1.0. Values such as 0.1, 0.4 and 0.5 are small positive quantities, and none of the ratio signals apply (center_near_one false, no reconstruction possible). Hours are extensive, so summing across entities gives total weekly hours saved, which supports real_additive. Confidence is moderate because the column is stored as VARCHAR (likely with blank values), the numeric statistics are unavailable, and the sample shows a 0 that conflicts with has_zeros=false. An intensive per-entity reading is a possible alternative.</reasoning> <table_type_conflict>false</table_type_conflict> </result>