revisions and appendix update
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@@ -73,7 +73,7 @@
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\node[unobserved] (y) {$Y$};
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\node[observed, above=of y] (x) {$X$};
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\node[observed, left=of y] (w) {$W$};
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\node[observed, right=of y] (w) {$W$};
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% \node[unobserved, above=of w] (k) {$K$};
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\node[observed,right=of x] (z) {$Z$};
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@@ -95,14 +95,14 @@
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\node[unobserved] (y) {$Y$};
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\node[observed={white}{gray!40}, above=of y] (x) {$X$};
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\node[observed, left=of y] (w) {$W$};
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\node[observed, right=of y] (w) {$W$};
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% \node[unobserved, above=of w] (k) {$K$};
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\node[observed,right=of x] (z) {$Z$};
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% \node[residual,below=of y] (e) {$\varepsilon$};
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% \node[residual,below=of w] (xi) {$\xi$};
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\draw[-] (x) -- (y);
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\draw[-] (x) -- (w);
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\draw[-] (z) -- (w);
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\draw[-] (y) -- (w);
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\draw[-] (x) -- (z);
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% \draw[-] (k) -- (w);
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@@ -111,7 +111,7 @@
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% \draw[-] (y) -- (xi);
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% \draw[-] (w) -- (xi);
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\end{tikzpicture}
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\caption{In \emph{Simulation 2b}, the edge connecting $W$ and $X$ signifies that the predictions $W$ are not conditionally independent of $X$ given $Y$, indicating systematic misclassification. \label{fig:simulation.2b}}
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\caption{In \emph{Simulation 2b}, the edge connecting $W$ and $Z$ signifies that the predictions $W$ are not conditionally independent of $Z$ given $Y$, indicating systematic misclassification. \label{fig:simulation.2b}}
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\end{subfigure}
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\vspace{1em}
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\begin{subfigure}[t]{0.2\textwidth}
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@@ -127,4 +127,4 @@
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\caption{
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Bayesnet networks representing the conditional independence structure of our simulations. \label{bayesnets}
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}
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\end{figure}
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\end{figure}
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