Regression predicting WOA based on GPT treatments
| Variable | B | SE | t | p-value | 95% LB | 95% UB |
|---|---|---|---|---|---|---|
| Constant | 0.57 | 0.02 | 23.54 | <0.001 | 0.52 | 0.61 |
| Advice source (AI = 1) | 0.31 | 0.02 | 14.26 | <0.001 | 0.27 | 0.35 |
| Advice quality (50% = 1) | −0.04 | 0.02 | −1.68 | 0.093 | −0.08 | 0.01 |
| Model (GPT-4 = 1) | −0.13 | 0.02 | −6.01 | <0.001 | −0.17 | −0.09 |
| Temperature (Temp = 1) | 0.00 | 0.02 | 0.12 | 0.903 | −0.04 | 0.05 |
| Variable | B | SE | 95% LB | 95% UB | ||
|---|---|---|---|---|---|---|
| Constant | 0.57 | 0.02 | 23.54 | <0.001 | 0.52 | 0.61 |
| Advice source (AI = 1) | 0.31 | 0.02 | 14.26 | <0.001 | 0.27 | 0.35 |
| Advice quality (50% = 1) | −0.04 | 0.02 | −1.68 | 0.093 | −0.08 | 0.01 |
| Model (GPT-4 = 1) | −0.13 | 0.02 | −6.01 | <0.001 | −0.17 | −0.09 |
| Temperature (Temp = 1) | 0.00 | 0.02 | 0.12 | 0.903 | −0.04 | 0.05 |
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