<result> <column_name>SepalWidthCm</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.6</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, distribution</valid_reducers> <excluded_reducers>sum (adding per-entity sepal widths gives no physical quantity), 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>The table is a DIMENSION with no sequence axis, so multiplicative is implausible and no sequential reconstruction is possible. The column is a strictly positive measurement in cm (mean 3.05, median 3.0, range 2.0–4.4), far from 1.0 and with no ratio naming, so the family is additive. Each row is a per-entity physical attribute (a width), and summing widths across merged entities has no physical meaning. Averaging is the natural rollup, so I chose intensive_additive rather than real_additive. Confidence is moderate because a "Cm" length could also be read as real_additive by naming convention.</reasoning> <table_type_conflict>false</table_type_conflict> </result>