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\begin{appendices}

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\section{Machine-Generated Feature Definitions}
\label{app:features}

Table~\ref{tab:app_features} lists the attributes extracted by the language and
vision models under their respective strict JSON schemas. All fields use closed
enumerations or booleans; absent information is coded as \texttt{false},
\texttt{unknown}, or an empty list.

\begin{table}[htbp]
  \centering
  \begin{threeparttable}
    \caption{Attributes Extracted by the AI Models}
    \label{tab:app_features}
    \small
    \begin{tabular}{@{}p{2.9cm}p{4.4cm}p{6.3cm}@{}}
      \toprule
      Layer & Field & Domain \\
      \midrule
      \multicolumn{3}{@{}l}{\textit{Panel A: Text (LLM, \texttt{gpt-4o-mini})}} \\[3pt]
      Condition & \texttt{condition} & to renovate / original / good / renovated / like-new / new \\
      Turnkey & \texttt{turnkey} & boolean \\
      Renovated kitchen & \texttt{renovated\_kitchen} & boolean \\
      Renovated bathroom & \texttt{renovated\_bathroom} & boolean \\
      Flooring & \texttt{flooring} & hardwood / ceramic / laminate / carpet / vinyl / concrete \\
      Countertop & \texttt{countertop} & granite / quartz / marble / laminate / wood \\
      Heating & \texttt{heating} & electric / heat pump / wood / gas / oil / radiant / geothermal \\
      Water view & \texttt{view} & water / mountain / city / none \\
      Income property & \texttt{income\_property} & boolean \\
      Large lot; quiet area & \texttt{large\_lot}, \texttt{quiet\_area} & boolean \\[6pt]
      \multicolumn{3}{@{}l}{\textit{Panel B: Vision (\texttt{claude-haiku-4-5}, façade)}} \\[3pt]
      Building type (visual) & \texttt{building\_type\_visual} & detached / semi / row / condo / cottage / land \\
      Condition score & \texttt{condition\_score} & integer 1--10 \\
      Curb appeal & \texttt{curb\_appeal} & integer 1--10 \\
      Renovation level & \texttt{renovation\_level} & to renovate / dated / standard / renovated / high-end \\
      Exterior materials & \texttt{exterior\_materials} & brick / stone / vinyl / wood / aluminum / stucco / concrete \\
      Landscaping & \texttt{landscaping} & none / minimal / maintained / manicured \\
      Setting & \texttt{setting} & dense urban / suburban / rural / waterfront / wooded \\
      Luxury indicator & \texttt{curb\_luxury} & boolean \\
      Photo quality & \texttt{photo\_quality} & integer 1--10 \\
      \bottomrule
    \end{tabular}
    \begin{tablenotes}[flushleft]
      \footnotesize
      \item \textit{Notes:} Both extractions use schema-constrained decoding with
      closed enumerations, required fields, and \texttt{additionalProperties:false};
      decoding temperature is zero. The text layer reads the free-text description;
      the vision layer analyzes one façade photograph per listing. Fields are mapped
      to numeric regressors (booleans to $0/1$, ordinal scales to integers, categories
      to indicators), each with an availability flag.
    \end{tablenotes}
  \end{threeparttable}
\end{table}

\section{Sample Construction Flow}
\label{app:flow}

\begin{table}[htbp]
  \centering
  \begin{threeparttable}
    \caption{From Raw Records to Estimation Sample}
    \label{tab:app_flow}
    \begin{tabular}{@{}lr@{}}
      \toprule
      Step & Records \\
      \midrule
      Realtor.ca raw & 27{,}302 \\
      DuProprio raw & 7{,}693 \\
      Houses (single-family + townhouse) with price & 19{,}273 \\
      After outlier cleaning & 19{,}123 \\
      \quad of which with measured living area (Model~A) & 9{,}446 \\
      \bottomrule
    \end{tabular}
    \begin{tablenotes}[flushleft]
      \footnotesize
      \item \textit{Notes:} See Section~\ref{sec:data}. ``Measured living area'' means
      reported area or area reconstructed from room-level dimensions.
    \end{tablenotes}
  \end{threeparttable}
\end{table}

\end{appendices}