```xml <result> <column_name>win_by_wickets</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.85</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>mean</primary_reducer> <valid_reducers>mean, min, max, median, mode, distribution</valid_reducers> <excluded_reducers>sum (summing wicket margins across matches is meaningless), product (not a ratio)</excluded_reducers> <average_semantics>arithmetic_mean</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>min</inner_measure_reducer> <outer_measure_reducer>max</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>false</multiplicative_partner_derivable> <reasoning> Gate prior: DIMENSION table with no sequence axis makes multiplicative highly implausible. The column name "win_by_wickets" indicates a margin of victory (a count difference), which is an absolute level per match entity. The values are bounded [0,10], centered at 3.3, with 47% zeros (matches not won by wickets). This is an intensive measure - each row records a fixed outcome level for that match. Summing wicket margins across matches produces no meaningful aggregate; the natural rollup is mean (average margin). High zero fraction is consistent with a categorical outcome (some matches won by runs instead). </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```