1% generated by tables/make_tables.py from ./results/bibliometrics/category_actors_yearly.csv2\begin{table}[htbp]\centering\caption{China-affiliated, company-affiliated and international shares of works by year, AI/ML area against all other areas (per cent).}\label{tab:net_ai_vs_rest_yearly}3\begin{threeparttable}\small4\begin{tabular}{lrrrrrr}5\toprule6\textbf{Year} & \textbf{CN, AI/ML (\%)} & \textbf{CN, other (\%)} & \textbf{Company, AI/ML (\%)} & \textbf{Company, other (\%)} & \textbf{Intl., AI/ML (\%)} & \textbf{Intl., other (\%)} \\7\midrule82018 & 17.28 & 15.00 & 5.40 & 4.71 & 15.33 & 15.23 \\92019 & 18.99 & 16.92 & 6.79 & 5.06 & 16.11 & 15.83 \\102020 & 19.88 & 18.03 & 7.43 & 5.43 & 17.81 & 17.06 \\112021 & 23.22 & 21.04 & 8.02 & 6.16 & 19.15 & 17.89 \\122022 & 26.60 & 24.32 & 7.16 & 6.36 & 18.43 & 18.40 \\132023 & 26.98 & 24.86 & 6.96 & 6.30 & 18.03 & 17.99 \\142024 & 25.89 & 25.43 & 6.21 & 5.55 & 17.12 & 17.14 \\152025 & 23.83 & 23.71 & 5.07 & 4.82 & 15.15 & 15.75 \\162026 & 22.29 & 21.24 & 5.75 & 4.62 & 15.45 & 15.13 \\17\bottomrule18\end{tabular}19\begin{tablenotes}\footnotesize\item Shares over all works of the group and year, works without affiliation data included; the decline of all three series after 2023 is partly the lower affiliation coverage of the most recent cohorts (Section~\ref{sec:net-teams}). 2026 is incomplete.\end{tablenotes}20\end{threeparttable}\end{table}21