1% generated by tables/make_tables.py from /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/informatique/wp44/results/emerging/metrics_h12.json, /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/informatique/wp44/results/emerging/metrics_h24.json2\begin{table}[htbp]\centering\caption{Out-of-time evaluation design of the emerging-topic detector: cutoffs, panel sizes and positive rates.}\label{tab:p9-emerging-setup}3\begin{threeparttable}\small4\begin{tabular}{lrrrrrr}5\toprule6\textbf{Horizon (months)} & \textbf{Training cutoffs} & \textbf{Test cutoffs} & \textbf{Train rows} & \textbf{Test rows} & \textbf{Positive rate, train} & \textbf{Positive rate, test} \\7\midrule812 & 2020-01 to 2021-10 (8) & 2023-01 to 2024-10 (8) & 9{,}202 & 9{,}626 & 0.0083 & 0.0047 \\924 & 2020-01 to 2020-10 (4) & 2023-01 to 2024-04 (6) & 4{,}487 & 7{,}177 & 0.0254 & 0.0145 \\10\bottomrule11\end{tabular}12\begin{tablenotes}\footnotesize\item Rows are eligible (topic, cutoff) pairs; the label of equation~\eqref{eq:label} requires top-decile future growth and a doubling of volume, so the positive rate is below ten per cent.\end{tablenotes}13\end{threeparttable}\end{table}14