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Values below one favor lp7s for this metric. Right: per-fold held-out core \u03c7\u00b2 learning curves for T=10\u201313, each point being the median of the T=10\u201311, 11\u201312 and 12\u201313 bin medians and normalized to the leak-free step-0 initialization; faint lines are individual folds and thick lines are field medians over the step range shared by all five folds; thin lines retain each fold's full run. P5 passes in 0/10 lp7s fold fits; the gate requires all T=8\u201313 bins to pass both the final-window slope and end/min tests. Worst T=10\u201313 end/min ratios are 1.16 (F1) and 1.12 (F2). The no-prior reference itself overfits, so ratios describe this matched historical comparison rather than absolute calibration accuracy. Both arms use the older scene background and omit fitted local-background/width terms; shared calibration is trained on four folds while the scored fold is held out. This is not final-recipe validation and does not imply astrometric accuracy.", "units": "median per-source mean chi-square over valid pixels within 3 native pixels; dimensionless, lower is better", "performance": { "magnitude_bins": [ [ 8, 9 ], [ 9, 10 ], [ 10, 11 ], [ 11, 12 ], [ 12, 13 ] ], "core_metric": "median per-source mean chi-square over valid pixels within 3 native pixels; dimensionless, lower is better", "per_field": { "F1": { "lp7s_over_none_median_across_folds": [ 0.570321028092559, 0.5921082110519252, 0.6265269570761667, 0.6044700928817119, 0.6520184872154372 ], "lp7s_over_none_fold_min": [ 0.5216176246702439, 0.5686165056939361, 0.5594244523656516, 0.5773366472262562, 0.6133539177278973 ], "lp7s_over_none_fold_max": [ 0.7108982993344144, 0.7443167685661224, 0.6766723844899574, 0.617656793291341, 0.6707211993626786 ], "paired_source_counts_by_fold": [ [ 32, 80, 211, 616, 1326 ], [ 51, 94, 180, 646, 1318 ], [ 44, 98, 190, 677, 1357 ], [ 49, 96, 222, 641, 1329 ], [ 30, 92, 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