We find that across all four factors, the explanatory power of the models is substantial (conditional R-squared > 0.5). The “told human” framing condition has a significant positive effect on all factors, and human authorship has a significant negative effect on 3 of the 4 factors. Figure 4 shows factor scores for human and AI authorship; Fig. 5 shows factor scores for each framing condition; the results for each of the 4 factor-prediction models, with the results for overall quality for comparison, can be found in Table 1.
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