```xml <result> <column_name>latency_ms</column_name> <family>additive</family> <subtype>ordinal_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, median, min, max, p50, p95, p99, distribution</valid_reducers> <excluded_reducers>sum (summing latencies across time 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> Table type is PATH with sequence axis, making ordinal_additive plausible. Column name "latency_ms" indicates a physical intensity measurement (duration in milliseconds) at each sequence step. The center is far from 1.0 (mean=6973, median=5781), ruling out multiplicative. Contains 18.9% zeros, which is against multiplicative. This is an instantaneous measurement at each timestamp - summing latencies across time steps is meaningless, but averaging them (mean latency over a period) is the natural aggregation. The large magnitude and unbounded range initially suggest real_additive, but latency is fundamentally an intensive property measured at points in time, making ordinal_additive the correct classification for a PATH table. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```