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README.md

@@ -24,7 +24,7 @@ AutoScientist Challenge (Part 2).
 
 ## Measured improvement
 
-AutoScientist reported `best_win_rate = 0.4851` over 5 iterations against `meta-llama/Llama-3.2-3B-Instruct`. That is below the 0.50 break-even point, so this model does not improve on its baseline in English - see limitations.
+AutoScientist reported best_win_rate = 0.4851 over 5 iterations against meta-llama/Llama-3.2-3B-Instruct. That is below the 0.50 break-even point, so this model does not improve on its baseline in English - see limitations.
 
 Evaluation methodology, including the position-swap and dual-judge controls, is in
 `EVAL.md` in the project repository. The held-out split used is published alongside the