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authorhaoyuren <13851610112@163.com>2026-07-28 21:17:38 +0800
committerhaoyuren <13851610112@163.com>2026-07-28 21:17:38 +0800
commit3b5f01cb4db9efc4ceb2ba17709bbfc82a63e660 (patch)
treead4e2321373fc9e551ffeb2ca27f5533ca9e9bdb /outputs/tables/learning_rate_regimes.tex
parent18bf25f34f6d352605086aa8fe63977baacc315b (diff)
Add appendix table generator and generated LaTeX fragments
generate_paper_tables.py reads the row-level CSVs and emits the four appendix tables (initialization calibration rows, finite-time cells, CNN calibration rows, learning-rate regimes) with the paper's nested uncertainty convention. The fragments are included by the manuscript via \input; no table value is transcribed manually. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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+\begin{tabular}{@{}rlcccc@{}}
+\toprule
+Depth & Regime & BP rate & Mean FA rate & Gap & SE \\
+\midrule
+1 & Same rate & 0.001 & 0.001 & 0.05906 & 0.0039 \\
+1 & Initial compensation & 0.001 & 0.001041 & 0.04053 & 0.0031 \\
+1 & Independently selected & 0.128 & 0.064 & 0.56940 & 0.01 \\
+2 & Same rate & 0.001 & 0.001 & 0.19917 & 0.014 \\
+2 & Initial compensation & 0.001 & 0.001317 & 0.09729 & 0.01 \\
+2 & Independently selected & 0.128 & 0.032 & 0.64210 & 0.051 \\
+3 & Same rate & 0.001 & 0.001 & 0.27346 & 0.026 \\
+3 & Initial compensation & 0.001 & 0.001607 & 0.16262 & 0.024 \\
+3 & Independently selected & 0.064 & 0.016 & 1.13002 & 0.024 \\
+4 & Same rate & 0.001 & 0.001 & 0.29340 & 0.021 \\
+4 & Initial compensation & 0.001 & 0.001917 & 0.18442 & 0.017 \\
+4 & Independently selected & 0.064 & 0.016 & 1.30812 & 0.06 \\
+6 & Same rate & 0.001 & 0.001 & 0.40664 & 0.038 \\
+6 & Initial compensation & 0.001 & 0.002591 & 0.28850 & 0.027 \\
+6 & Independently selected & 0.064 & 0.004 & 1.75739 & 0.026 \\
+\bottomrule
+\end{tabular}