<invoke name="tool_call"> <parameter name="reasoning">Four candidate measures; rank them by how strongly they separate species (eta-squared) to justify which is most important.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql":"WITH u AS (SELECT Species, 'SepalLengthCm' AS metric, SepalLengthCm AS v FROM raw.Iris UNION ALL SELECT Species, 'SepalWidthCm', SepalWidthCm FROM raw.Iris UNION ALL SELECT Species, 'PetalLengthCm', PetalLengthCm FROM raw.Iris UNION ALL SELECT Species, 'PetalWidthCm', PetalWidthCm FROM raw.Iris), g AS (SELECT metric, Species, VAR_POP(v)*COUNT(*) AS ssw FROM u GROUP BY metric, Species), t AS (SELECT metric, VAR_POP(v)*COUNT(*) AS sst FROM u GROUP BY metric) SELECT g.metric, ROUND(1 - SUM(g.ssw)/MAX(t.sst), 4) AS eta_squared FROM g JOIN t ON g.metric = t.metric GROUP BY g.metric ORDER BY eta_squared DESC","purpose":"Rank the four numeric measures by share of variance explained by species"}</parameter> </invoke>