<result> <column_name>close</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.72</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>mean</primary_reducer> <valid_reducers>mean, min, max, median, distribution</valid_reducers> <excluded_reducers>sum (summing price levels across entities is meaningless), product (not a ratio)</excluded_reducers> <average_semantics>arithmetic_mean</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>min</inner_measure_reducer> <outer_measure_reducer>max</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>false</multiplicative_partner_derivable> <reasoning>The table is STATE with no sequence axis and one row per entity, so multiplicative is implausible and no sequential reconstruction is possible. "close" is a closing price, an absolute level rather than a ratio or return. The statistics fit this: strictly positive, median about 35.6, mean about 1578, max 300000, and nowhere near 1.0. The large log_symmetry_gain reflects the heavy right skew typical of price levels across different instruments, not a compounding ratio, so I overrode it. Summing prices across entities is meaningless, so I chose intensive_additive with mean as the primary reducer. A closing price is a snapshot level and may be tensorial, which lowers confidence somewhat.</reasoning> <table_type_conflict>false</table_type_conflict> </result>