Update VeriSci dataset card with completed AutoScientist run state

README.md

@@ -117,7 +117,7 @@ Current platform evidence:
 | Diagnostic 8k Llama run | `43b5486d-0bfc-4e9f-869e-a9892a679386`; best win rate 49.48%; not final |
 | Clean 8k candidate run | `7ea2c71b-94d7-472d-8288-795ab5e0a2c3` on `mistralai/Mistral-7B-Instruct-v0.2` |
 | Clean 8k candidate dataset | `3103c6ac-7d61-4271-af62-41cb023de85e` |
-| Clean 8k latest metric | Running, 4/5 iterations, best win rate 52.45%, checkpoint pending |
+| Clean 8k latest metric | Succeeded, 5/5 iterations, best win rate 52.45%, checkpoint packaged |
 
 Fill after final AutoScientist run:
 
@@ -126,7 +126,7 @@ Fill after final AutoScientist run:
 | Adaptive Data grade before | Pending |
 | Adaptive Data grade after | Pending |
 | Adaptive Data quality improvement | Pending |
-| AutoScientist best win rate | 52.45% interim; final pending completion |
+| AutoScientist best win rate | 52.45%; below the 75% publish gate |
 | Domain augmentation rows | 8,000 source rows in clean candidate |
 | General augmentation rows | 0 in clean candidate |