## 5 Generative Verification Across Platforms
### Expert Ratings and User Questionnaire Statistical Analysis
#### 5.4.1 Subsubsection
The overall scoring data (see Table 7) shows that the Dreamina AI platform performs better than Midjourney in most dimensions. In the dimension of \"pattern pixel harmony\", image DM_0101 (average score 4.27) is significantly ahead of MJ_0101 (average score 3.27). A total of 90.91% of the experts chose DM_0101 as the image that was more in line with the expression of \"curling grass long-tailed phoenix\", reflecting the apparent advantages of Dreamina AI in structural restoration and pixel recognition. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Question** & **Option** & **Count** & **Percentage** \\ \hline \multirow{4}{*}{Identity Composition} & Cultural researcher & 2 & 3.13\% \\  & Designer & 11 & 17.19\% \\  & Teacher/student & 36 & 56.25\% \\  & General public & 15 & 23.44\% \\ \hline \multirow{4}{*}{Understanding of Phoenix Culture} & Very familiar & 0 & 0\% \\  & Somewhat familiar & 26 & 40.63\% \\  & Not very familiar & 27 & 42.19\% \\  & Completely unfamiliar & 11 & 17.19\% \\ \hline \multirow{4}{*}{Experience with AIGC Tools} & Frequently use & 14 & 21.88\% \\  & Occasionally use & 27 & 42.19\% \\  & Heard of but never used & 12 & 18.75\% \\  & Completely unfamiliar & 11 & 17.19\% \\ \hline \hline \end{tabular}
\end{table} 
Table 6: User basic information statistics table. \begin{table}
\begin{tabular}{l l l l l l l} \hline \hline
**Dimension Classification** & \begin{tabular}{l} **Image Number** \\ **(Dreamina AI)** \\ \end{tabular} & \begin{tabular}{l} **Average** \\ **Score** \\ \end{tabular} & \begin{tabular}{l} **Image Number** \\ **(Midjourney)** \\ \end{tabular} & \begin{tabular}{l} **Average** \\ **Score** \\ \end{tabular} & \begin{tabular}{l} **Optimal** \\ **Score** \\ \end{tabular} & \begin{tabular}{l} **Optimal** \\ **Ratio (DM** \\ **Is Better)** \\ \end{tabular} & \
\begin{tabular}{l} **Optimal** \\ **Ratio (MJ)** \\ **Is Better)** \\ \end{tabular} \\ \hline \multirow{2}{*}{Pixel configuration (curly grass tail)} & DM\_0101 & 4.27 & MJ\_0101 & 3.27 & 90.91\% & 9.09\% \\ \hline \multirow{2}{*}{Pixel configuration (double phoenix pony)} & DM\_0201 & 3.82 & MJ\_0201 & 3.27 & 63.64\% & 36.36\% \\ \hline \multirow{2}{*}{Craftsmanship (wood carving)} & DM\_0103 & 3.45 & MJ\_0103 & 4 & 27.27\% & 72.73\% \\ \hline \multirow{2}{*}{Craftsmanship (enamel)} & DM\_0203 & 3.55 & MJ\_0203 & 3.64 & 36.36\% & 63.64\% \\ \hline \multirow{2}{*}{Colour (five-colour phoenix)} & DM\_0202 & 3.45 & MJ\_0202 & 3.64 & 45.45\% & 54.55\% \\ \hline \multirow{2}{*}{
\begin{tabular}{l} Theme (hundred birds \\ paying homage to \\ the phoenix) \\ \end{tabular} } & DM\_0104 & 4.09 & MJ\_0104 & 3.91 & 45.45\% & 54.55\% \\ \hline \multirow{2}{*}{Meaning (classical charm)} & DM\_0105 & 3.45 & MJ\_0105 & 3.64 & 36.36\% & 63.64\% \\ \hline \multirow{2}{*}{Innovative expression (1)} & DM\_0106 & 3.36 & MJ\_0106 & 3.45 & 36.36\% & 63.64\% \\ \hline \multirow{2}{*}{Innovative expression (2)} & DM\_0206 & 3.64 & MJ\_0206 & 3.18 & 63.64\% & 36.36\% \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Comparison of key data of expert ratings. In the dimension of \"realistic craftsmanship\", the score of MJ_0103 generated by Midjourney is 4.00, which is significantly higher than DM_0103 (3.45). Experts believed it had more transparent layers and richer details depicting \"wood-carving craftsmanship\". In the performance of \"cloisonne enamel\"-style images, the scores of the two platforms were close, with MJ_0203 slightly higher (3.64) than DM_0203 (3.55). However, experts were more satisfied with the detailed processing of DM images, with a 36.36% preference for subjective choice. In terms of colour style, the MJ platform shows a more stable aesthetic output. For example, in the \"colourful phoenix\" series, MJ_0202 received an average score of 3.64, slightly higher than DM_0202's 3.45, and 54.55% of experts believe that MJ images have a more aesthetic balance. Regarding \"accuracy of thematic expression\", the results show that the two platforms are on par.