根据提供的表格T：
<C>Metric 7  Precision,Task Manual Labelling,<max>0.550,Task LSTM,0.217, Att - LSTM,0.260,Task CNN,0.261,Task SIARN,0.219,Task MIARN,0.236,Task 3CNN,0.250, Dense - LSTM,0.375,<C>Metric 7  F - score,Task Manual Labelling  Dense - LSTM,<max>0.616<bold>,Task LSTM  Dense - LSTM,0.336, Att - LSTM  Dense - LSTM,0.325,Task CNN  Dense - LSTM,0.356,Task SIARN  Dense - LSTM,0.342,Task MIARN  Dense - LSTM,0.364<bold>,Task 3CNN  Dense - LSTM,0.286, Dense - LSTM  Dense - LSTM,0.318,<C>Metric 7,Task SARC - balanced  3CNN,0.675,Task SARC - unbalanced  3CNN,<max>0.788,Task SemEval - 2018  Dense - LSTM,0.666,<C>Metric 7,Task SARC - balanced  3CNN,0.660,Task SARC - unbalanced  3CNN,0.780,Task SemEval - 2018  Dense - LSTM,0.674,Task Manual Labelling  Dense - LSTM,0.701,Task LSTM  Dense - LSTM,0.747, Att - LSTM  Dense - LSTM,0.436,Task CNN  Dense - LSTM,0.563,Task SIARN  Dense - LSTM,0.782,Task MIARN  Dense - LSTM,<max>0.793,Task 3CNN  Dense - LSTM,0.333, Dense - LSTM  Dense - LSTM,0.276,Table 6: F-score yielded by our implementations of state-of-the-art models on previous datasets, compared to published results on those datasets.
回答问题Q：
Dense-LSTM achieves [MASK]8 compared to 0.666 on authors. What is the value for [MASK]?