\documentclass[floatsintext, man, draftfirst]{apa7}\usepackage[]{graphicx}\usepackage[]{xcolor}
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\newenvironment{knitrout}{}{} % an empty environment to be redefined in TeX

\usepackage{alltt}


% maxwidth is the original width if it is less than linewidth
% otherwise use linewidth (to make sure the graphics do not exceed the margin)
\makeatletter
\def\maxwidth{ %
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  \else
    \Gin@nat@width
  \fi
}

\usepackage{alltt}


\usepackage{epstopdf}% To incorporate .eps illustrations using PDFLaTeX, etc.
\usepackage{subcaption}% Support for small, `sub' figures and tables
\usepackage{tikz}
\usetikzlibrary{positioning, shapes, arrows, shadows}

\def \parrotpdf {\includegraphics[]{parrot.pdf}}
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\usepackage{graphicx}
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\usepackage{amsmath}%}, amsthm, amssymb}
\DeclareMathOperator*{\argmin}{arg\,min} % thin space, limits underneath in displays
\DeclareMathOperator*{\argmax}{arg\,max} % thin space, limits underneath in displays


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\def\citepos#1{\citeauthor{#1}'s (\citeyear{#1})}
\def\citespos#1{\citeauthor{#1}' (\citeyear{#1})}
\newcommand\TODO[1]{\textsc{\color{red} #1}}

% I've gotten advice to make this as general as possible to attract the widest possible audience.
\title{Appendices for: What to do about prediction errors in automated content analysis}

\shorttitle{Appendices: Prediction errors in automated content analysis}

\authorsnames[1,2,3]{Nathan TeBlunthuis, Valerie Hase, Chung-hong Chan}
\authorsaffiliations{{Northwestern University}, {LMU Munich}, {GESIS - Leibniz-Institut für Sozialwissenschaften}}
\leftheader{TeBlunthuis, Hase \& Chan}

\keywords{
Content Analysis; Machine Learning; Classification Error; Attenuation Bias; Simulation; Computational Methods; Big Data; AI;
}

\IfFileExists{upquote.sty}{\usepackage{upquote}}{}

\abstract{}
\IfFileExists{upquote.sty}{\usepackage{upquote}}{}
\begin{document}
\maketitle
\section{Additional plots from Simulations 1 and 2}
\label{appendix:main.sim.plots}
\begin{figure}
\begin{knitrout}
\definecolor{shadecolor}{rgb}{0.969, 0.969, 0.969}\color{fgcolor}
\includegraphics[width=\maxwidth]{figure/example1_g-1} 
\end{knitrout}
\caption{Estimates of $B_z$ in multivariate regression with $X$ measured using machine learning and model accuracy independent of $X$, $Y$, and $Z$. All methods obtain precise and accurate estimates given sufficient validation data.}
\end{figure}


\end{document}