<result> <column_name>cache_read_tokens</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.95</confidence> <requires_user_confirmation>false</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, 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>true</multiplicative_partner_derivable> <reasoning> Table type is PATH with sequence axis, so multiplicative is plausible. However, the column name "cache_read_tokens" strongly indicates a count/quantity (real_additive). The data confirms this: mean 1217.8, median 0.0, max 367503 shows large unbounded magnitude centered far from 1.0. 67% zeros and strictly non-negative values are consistent with a count that accumulates when volumes merge. The high log_symmetry_gain reflects the zero-inflation, not multiplicative behavior. This is a classic extensive quantity where sum is the natural rollup. </reasoning> <table_type_conflict>false</table_type_conflict> </result>