1% generated by tables/make_tables.py from /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/informatique/wp44/results/bibliometrics/category_share_ci_yearly.csv2\begin{table}[htbp]\centering\caption{Share of primary-category assignments held by the AI and machine-learning categories in 2018, 2022 and 2025 (per cent, bootstrap 95\% intervals).}\label{tab:p9-ai-shares}3\begin{threeparttable}\small4\begin{tabular}{lrrr}5\toprule6\textbf{Category} & \textbf{2018} & \textbf{2022} & \textbf{2025} \\7\midrule8Large Language Models & 0.33 [0.31, 0.34] & 0.58 [0.56, 0.60] & 5.06 [5.01, 5.10] \\9Foundation Models & 0.01 [0.01, 0.01] & 0.06 [0.06, 0.07] & 0.21 [0.20, 0.22] \\10Multimodal AI & 0.09 [0.09, 0.10] & 0.23 [0.22, 0.24] & 0.76 [0.74, 0.77] \\11Generative AI & 0.15 [0.14, 0.16] & 0.39 [0.37, 0.40] & 1.43 [1.40, 1.45] \\12AI Agents and Autonomous Systems & 1.09 [1.06, 1.11] & 0.81 [0.78, 0.83] & 0.99 [0.97, 1.01] \\13Reinforcement Learning & 0.66 [0.64, 0.68] & 1.25 [1.22, 1.28] & 1.48 [1.46, 1.50] \\14Machine Learning Theory & 2.71 [2.67, 2.76] & 3.59 [3.54, 3.64] & 3.67 [3.63, 3.71] \\15Deep Learning Architectures & 2.40 [2.36, 2.44] & 3.97 [3.93, 4.02] & 3.82 [3.79, 3.86] \\16AI Safety and Alignment & 0.21 [0.20, 0.22] & 0.53 [0.51, 0.55] & 1.22 [1.19, 1.24] \\17AI \& ML area (sum) & 7.65 & 11.41 & 18.63 \\18\bottomrule19\end{tabular}20\begin{tablenotes}\footnotesize\item Shares are of the year's works with a primary category; intervals from 500 multinomial resamples of the works (seed 44). The area row is the sum of the category shares (no interval). Categories 1--8 and 38 of the mandate.\end{tablenotes}21\end{threeparttable}\end{table}22