<result> <column_name>hit_count</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> Gate prior: PATH table with sequence axis allows full analysis. Column name "hit_count" strongly signals real_additive (count token). Numeric evidence confirms: strictly positive integers with no zeros, large unbounded range [1, 363], mean 15.1 far from 1.0, and high magnitude spread. The log_symmetry_gain of 6.97 indicates right-skewed distribution typical of count data, not multiplicative ratios centered on 1.0. This is a classic extensive quantity that accumulates when volumes merge. </reasoning> <table_type_conflict>false</table_type_conflict> </result>