<result> <column_name>Amount</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.72</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 favors real_additive for a physical or monetary quantity. The name "Amount" is a real_additive token, and the sample values are large currency strings ($1,000,000 to $1,300,000,000) with a "$" prefix, which indicates an extensive monetary quantity. The column is stored as VARCHAR, so numeric statistics are null and the values need currency parsing before aggregation. One sample value is blank, which may mean empty strings in place of nulls. Confidence is reduced because the numeric statistics could not be verified, and the "Amount" could be a per-entity level (such as a valuation or price) rather than a quantity that accumulates. No sequence-based reconstruction is available. </reasoning> <table_type_conflict>false</table_type_conflict> </result>