<result> <column_name>Rk</column_name> <family>additive</family> <subtype>ordinal_additive</subtype> <confidence>0.72</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>sum</primary_reducer> <valid_reducers>sum, mean, min, max, median, last, rank, normalized_mean</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>n/a</inner_measure_reducer> <outer_measure_reducer>n/a</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>true</multiplicative_partner_derivable> <reasoning> The table is PATH with a Date sequence axis, so the full analysis applies. "Rk" is a rank: values are positive integers from 1 to 2225 with a low distinct fraction, which suggests a per-date ordering. Its mean (329) and median (255) are far from 1.0, and it has a wide spread, so it is not a ratio. A rank is only ordinal along the sequence axis and is not an extensive quantity, so ordinal_additive fits better than real_additive. Confidence is moderate because no reconstruction evidence is available and the name is abbreviated. Summing ranks across a sequence is not meaningful, so the ordinal reducers apply along that axis. </reasoning> <table_type_conflict>false</table_type_conflict> </result>