```xml <result> <column_name>table_count</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, last</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 "table_count" strongly signals real_additive (count token). However, the values are small integers (1-5) on a PATH table with a "deleted_at" sequence axis, suggesting this is a snapshot count at each deletion event rather than a cumulative total. The lack of zeros and the discrete small values indicate this is measuring state at each sequence step. Classified as ordinal_additive because it represents an instantaneous count that should sum across entities at a fixed sequence step but use ordinal reducers (like last) along the sequence axis. High confidence due to clear naming and appropriate numeric range for a count measure. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```