In Pymetrics effort games, what typically happens to a candidate's score if they exert maximum effort on low-reward trials and minimum effort on high-reward trials?
-
A
Their effort score improves due to consistency
-
B
Their calibration score drops because effort is inversely correlated with reward
-
C
They receive full credit for always participating
-
D
The algorithm ignores outlier trials and averages the rest