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verify.py

@@ -81,6 +81,21 @@ for k, v in [("transport",761),("clock",542),("verification",434),("capability",
 for k, v in [("transport",36.2),("clock",25.8),("verification",20.7),("capability",17.3)]:
     check(f"{k} share %", round(100*c[k]/len(AG), 1), v)
 
+print("\nEngagement, the claim the abstract leads on")
+eng = sum(ntools(r) > 0 for r in AG)
+check("losses that invoked >=1 tool", eng, 1590)
+check("engagement share %", round(100*eng/len(AG), 1), 75.7)
+bym = collections.defaultdict(list)
+for r in AG: bym[r["model"]].append(r)
+check("models contributing agent-mode losses", len(bym), 33)
+big = [m for m in bym if len(bym[m]) >= 20]
+check("models with >=20 losses", len(big), 22)
+check("of those, engagement majority holds in",
+      sum(sum(ntools(r) > 0 for r in bym[m]) / len(bym[m]) > 0.5 for m in big), 15)
+check("of those, transport is largest in",
+      sum(collections.Counter(classify(r) for r in bym[m])["transport"]
+          == max(collections.Counter(classify(r) for r in bym[m]).values()) for m in big), 10)
+
 print("\nTaxonomy, agent mode only, capability-first (sensitivity)")
 c2 = collections.Counter(classify(r, False) for r in AG)
 for k, v in [("transport",761),("clock",395),("verification",434),("capability",510)]: