```xml <result> <column_name>cache_write_tokens</column_name> <family>additive</family> <subtype>ordinal_additive</subtype> <confidence>0.85</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, mean, min, max, 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 ordinal_additive is plausible. Column name "cache_write_tokens" indicates a count/quantity (additive signal). The 98.1% zeros with occasional large positive values (max 5812) suggests event-based accumulation at specific sequence steps rather than continuous extensive quantity. Mean of 66 vs median of 0 confirms sparse, episodic behavior typical of ordinal measures on PATH tables. This is an instantaneous rate/count at each timestamp, not a cumulative total, making it ordinal_additive rather than real_additive. Sum is meaningful across entities at fixed time; along sequence use normalized reducers. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```