```xml <result> <column_name>age_A</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.85</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>true</signed> <reducers> <primary_reducer>mean</primary_reducer> <valid_reducers>mean, min, max, median, distribution</valid_reducers> <excluded_reducers>sum (summing age levels is meaningless), product (not a ratio), geomean (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> DIMENSION table with no sequence axis: multiplicative highly implausible (gate prior). Column name "age_A" strongly indicates an absolute level quantity (age is a classic intensive measure). The range [-74, 1818] with signed values and wide spread confirms this is an absolute level, not a ratio near 1.0. Summing ages across entities is meaningless; averaging is the natural aggregation. The negative values and extreme max (1818) suggest data quality issues but do not change the fundamental intensive nature of age as a measure. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```