```xml <result> <column_name>P2_G3</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.70</confidence> <requires_user_confirmation>true</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, mode, 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> Table type is DIMENSION with no sequence axis, making multiplicative highly implausible per the gate prior. The column name "P2_G3" provides no semantic signal. The data is strictly non-negative integers in range [0, 20] with very low distinct fraction (0.27%), suggesting a categorical or ordinal code rather than a continuous measure. However, the dtype is "object" (string-encoded) and statistics show no zeros despite min=0, indicating possible data quality issues or encoding artifacts. Classifying as real_additive by default for DIMENSION tables with non-negative bounded integers, but confidence is reduced due to ambiguous semantics and the object dtype suggesting this may be a categorical identifier rather than a true measure. User confirmation required. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```