% generated by tables/make_tables.py from ./results/bibliometrics/category_impact_yearly.csv
\begin{table}[htbp]\centering\caption{Citation inequality and levels at 36 months, AI/ML area against all other areas, by publication year with a complete window.}\label{tab:net_gini_ai_vs_rest}
\begin{threeparttable}\small
\begin{tabular}{lrrrrrrrrrr}
\toprule
\textbf{Year} & \textbf{Works, AI/ML} & \textbf{Works, other} & \textbf{Gini, AI/ML} & \textbf{Gini, other} & \textbf{Mean c36, AI/ML} & \textbf{Mean c36, other} & \textbf{Uncited, AI/ML (\%)} & \textbf{Uncited, other (\%)} & \textbf{Top decile FWCI, AI/ML (\%)} & \textbf{Top decile FWCI, other (\%)} \\
\midrule
2018 & 38{,}148 & 460{,}583 & 0.799 & 0.796 & 7.26 & 4.99 & 37.7 & 43.4 & 15.8 & 15.0 \\
2019 & 47{,}860 & 491{,}076 & 0.779 & 0.787 & 7.81 & 5.68 & 34.5 & 40.6 & 15.6 & 15.0 \\
2020 & 54{,}806 & 492{,}618 & 0.773 & 0.775 & 8.21 & 6.38 & 32.0 & 37.3 & 15.3 & 14.6 \\
2021 & 60{,}987 & 495{,}830 & 0.765 & 0.760 & 7.64 & 6.56 & 31.5 & 33.8 & 15.3 & 14.9 \\
2022 & 63{,}609 & 493{,}388 & 0.755 & 0.749 & 7.83 & 6.71 & 29.4 & 31.4 & 15.9 & 15.3 \\
2023 & 82{,}170 & 548{,}963 & 0.787 & 0.765 & 8.98 & 6.64 & 32.4 & 34.0 & 15.8 & 14.8 \\
\bottomrule
\end{tabular}
\begin{tablenotes}\footnotesize\item Group statistics are work-weighted means of the category statistics of Table~\ref{tab:net_category_gini} (the Gini is therefore a weighted mean of within-category Ginis, not the Gini of the pooled group). Top decile FWCI: share of works in the top decile of OpenAlex field-weighted citation impact. The last year carries the right-truncation caveat.\end{tablenotes}
\end{threeparttable}\end{table}