```xml <result> <column_name>Training compute (FLOP)</column_name> <family>additive</family> <subtype>real_additive</subtype> <confidence>0.95</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>false</multiplicative_partner_derivable> <reasoning> Table is DIMENSION with no sequence axis, making multiplicative highly implausible per the gate prior. Column name "Training compute (FLOP)" and unit FLOP (floating-point operations) are absolute extensive quantities that accumulate. The magnitude is very large (min 40, max 5e26), unbounded, strictly positive with no zeros, and centered far from 1.0—all strong signals for real_additive. No naming tokens suggest ratio/rate/factor. This is a count of computational work, a classic extensive measure where sum is the natural rollup. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```