<result> <column_name>Satisfaction_Score</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.8</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 satisfaction scores is meaningless for a bounded rating level), 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 a DIMENSION with no sequence axis, so the prior strongly rules out multiplicative and ordinal_additive. The values are integers from 3 to 10, bounded and centered near 6.1, not near 0 or 1, with no zeros or negatives and negative log_symmetry_gain, so it is not a ratio. It is a bounded rating level on a fixed scale, so averaging is the natural rollup and summing is not meaningful. This makes it intensive_additive. The confidence is not higher because the name carries no explicit intensity token and the column could be read as an ordinal rating. </reasoning> <table_type_conflict>false</table_type_conflict> </result>