<result> <column_name>Amount</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.8</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 column name "Amount" is a real_additive token, and the sample values are large USD figures ($1,000,000 to $10,000,000). Those are far from 1.0, so this is a currency extensive quantity. The dtype is VARCHAR with currency formatting ($ and commas), so numeric statistics were not computed. The column must be parsed to numeric before reducing, which keeps confidence below the level a clean numeric column would get. The sign is assumed unsigned because every sample value is positive and has_negatives is false. Nothing here suggests a tensorial or intensive level. Because this is a dimension table, "Amount" could be a per-entity attribute such as a deal size or a budget, and summing across entities is still meaningful. </reasoning> <table_type_conflict>false</table_type_conflict> </result>