<result> <column_name>DFs</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.6</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> The table is PATH with a Date sequence axis, so full analysis applies. The column holds non-negative integer-valued numbers (0 to 26, mean 2.9, median 2.0) with about 11.5% zeros and very low distinct fraction. This pattern fits a count-like quantity, and it is centered far from 1.0, so it is not a ratio. There is no naming signal, since "DFs" is ambiguous, and no reconstruction evidence, so I classify it as real_additive with moderate confidence. The high null fraction (37%) and the ambiguous name keep confidence modest. It could be a count (for example document or default frequencies), which would be summable. The positive log_symmetry_gain is expected for right-skewed count data and is not strong enough to override the center-of-mass and zero evidence. </reasoning> <table_type_conflict>false</table_type_conflict> </result>