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Card: soften jev rounding claim to hypothesis, per fact-check

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  1. README.md +3 -2
README.md CHANGED
@@ -59,8 +59,9 @@ Question wording and criteria are identical across engines and frozen in the man
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  ## Scoring conventions (matters for calibration metrics)
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- - jev and laya return display-rounded probabilities (sums off by up to 0.01); all vectors are
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- renormalized before scoring. jev affected 416 rows.
 
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  - julia Banking77 probabilities are conditional on the final tournament candidate set
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  (`probability_scope=final_candidates`) — the vendor's documented Router behavior.
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  - NLL is clipped; ECE is 15 equal-width bins.
 
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  ## Scoring conventions (matters for calibration metrics)
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+ - jev returns probability maps with sum drift up to 0.01 (display rounding is the working
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+ hypothesis — see the run's error notes); 416 rows affected. laya probabilities pass through
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+ display rounding (round(4)). All vectors are renormalized before scoring.
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  - julia Banking77 probabilities are conditional on the final tournament candidate set
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  (`probability_scope=final_candidates`) — the vendor's documented Router behavior.
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  - NLL is clipped; ECE is 15 equal-width bins.