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Refresh clean run evidence

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  1. README.md +7 -5
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@@ -114,8 +114,10 @@ Current platform evidence:
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  | 12k source preflight dataset ID | `13b1c92a-a96b-4ce7-810b-4368ad6aa234` |
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  | 12k source-column audit | Passed: 12,000/12,000 rows preserved `Final: {...}` |
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  | AutoScientist recommendation | `google/gemma-3-4b-it`, 1-epoch LoRA |
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- | Active fallback AutoScientist run | `43b5486d-0bfc-4e9f-869e-a9892a679386` on `meta-llama/Llama-3.2-3B-Instruct` |
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- | Clean 8k source preflight | `3103c6ac-7d61-4271-af62-41cb023de85e`; recommended `mistralai/Mistral-7B-Instruct-v0.2` |
 
 
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  Fill after final AutoScientist run:
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@@ -124,9 +126,9 @@ Fill after final AutoScientist run:
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  | Adaptive Data grade before | Pending |
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  | Adaptive Data grade after | Pending |
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  | Adaptive Data quality improvement | Pending |
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- | AutoScientist best win rate | Pending checkpoint |
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- | Domain augmentation rows | 8,000 source rows in active fallback |
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- | General augmentation rows | 0 in active fallback |
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  ## Limitations
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  | 12k source preflight dataset ID | `13b1c92a-a96b-4ce7-810b-4368ad6aa234` |
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  | 12k source-column audit | Passed: 12,000/12,000 rows preserved `Final: {...}` |
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  | AutoScientist recommendation | `google/gemma-3-4b-it`, 1-epoch LoRA |
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+ | Diagnostic 8k Llama run | `43b5486d-0bfc-4e9f-869e-a9892a679386`; best win rate 49.48%; not final |
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+ | Clean 8k candidate run | `7ea2c71b-94d7-472d-8288-795ab5e0a2c3` on `mistralai/Mistral-7B-Instruct-v0.2` |
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+ | Clean 8k candidate dataset | `3103c6ac-7d61-4271-af62-41cb023de85e` |
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+ | Clean 8k latest metric | Running, 1/5 iterations, best win rate 51.96%, checkpoint pending |
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  Fill after final AutoScientist run:
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  | Adaptive Data grade before | Pending |
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  | Adaptive Data grade after | Pending |
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  | Adaptive Data quality improvement | Pending |
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+ | AutoScientist best win rate | 51.96% interim; final pending completion |
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+ | Domain augmentation rows | 8,000 source rows in clean candidate |
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+ | General augmentation rows | 0 in clean candidate |
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  ## Limitations
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