```xml <result> <column_name>s_boxer_height</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.95</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 heights 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> Table type is DIMENSION with no sequence axis, making multiplicative highly implausible. Column name "s_boxer_height" clearly indicates a physical measurement (height), which is an intensive property. Sample values (178.0-183.0 cm, presumably) and range (3.77-207.0) confirm absolute physical measurements centered away from both 0 and 1. Height is a classic intensive_additive measure: averaging heights across boxers is meaningful, but summing them is not. No multiplicative signals present. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```