Atmosphere (b = 0.55978, SE = 0.11417, z = 4.903, p < 0.0001) was significantly predictive: higher scores for Atmosphere increased the likelihood that a participant predicted the poem was written by a human. We also found suggestive positive effects for Emotional Quality (b = 0.22748, SE = 0.11402, z = 1.995, p = 0.04604) and Creativity (b = 0.18650, SE = 0.07322, z = 2.547, p = 0.01087), suggesting that higher scores for Emotional Quality and Creativity may also increase the likelihood that participants predict a poem was written by a human poet. Importantly, in this model, unlike previous discrimination models, authorship has no negative effect (b = 0.23742, SE = 0.14147, z = 1.678, p = 0.09332).
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