```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 gate prior. Column name "Training compute (FLOP)" and unit FLOP (floating-point operations) indicate an absolute extensive quantity of computational work performed. Values are very large magnitude (10^20 to 10^26), strictly positive, unbounded, and centered far from 1.0—all strong signals for real_additive. FLOP is a count-like extensive measure that accumulates when volumes merge (total compute = sum of individual training runs). No multiplicative evidence present. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```