Generalized linear mixed-effects model fit by PL

Model information:
    Number of observations              22
    Fixed effects coefficients           8
    Random effects coefficients         22
    Covariance parameters                4
    Distribution                    Gamma 
    Link                            Power 
    FitMethod                       REMPL 

Formula:
    Plasticity ~ 1 + Group*Time + Group*Sex + Time*Sex + Group:Time:Sex + (1 + Time | Exp)

Model fit statistics:
    AIC     BIC     LogLikelihood    Deviance
    2.05    9.72    10.97            -21.95  
Fixed effects coefficients (95% CIs):
    Name                               Estimate    SE      tStat    DF       pValue    Lower    Upper
    {'(Intercept)'            }         0.69       0.05    14.50    14.00    0.00       0.59     0.79
    {'Group_wt'               }        -0.20       0.07    -2.84    14.00    0.01      -0.34    -0.05
    {'Time_pre'               }         0.35       0.07     4.95    14.00    0.00       0.20     0.51
    {'Sex_M'                  }        -0.15       0.06    -2.43    14.00    0.03      -0.29    -0.02
    {'Group_wt:Time_pre'      }         0.19       0.11     1.73    14.00    0.11      -0.05     0.42
    {'Group_wt:Sex_M'         }         0.19       0.09     2.05    14.00    0.06      -0.01     0.38
    {'Time_pre:Sex_M'         }         0.14       0.10     1.39    14.00    0.19      -0.07     0.35
    {'Group_wt:Time_pre:Sex_M'}        -0.11       0.15    -0.76    14.00    0.46      -0.43     0.20
Random effects covariance parameters:
Group: Exp (11 Levels)
    Name1                  Name2                  Type            Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std' }         0.06   
    {'Time_pre'   }        {'(Intercept)'}        {'corr'}        -1.00   
    {'Time_pre'   }        {'Time_pre'   }        {'std' }         0.06   
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.09