Generalized linear mixed-effects model fit by PL

Model information:
    Number of observations              39
    Fixed effects coefficients           8
    Random effects coefficients         52
    Covariance parameters                5
    Distribution                    Gamma 
    Link                            Power 
    FitMethod                       REMPL 

Formula:
    Slope ~ 1 + Genotype*Drug + Genotype*Sex + Drug*Sex + Genotype:Drug:Sex + (1 + Drug | Slice) + (1 | Exp)

Model fit statistics:
    AIC       BIC     LogLikelihood    Deviance
    -13.64    5.00    19.82            -39.64  
Fixed effects coefficients (95% CIs):
    Name                                    Estimate    SE      tStat    DF       pValue    Lower    Upper
    {'(Intercept)'                 }        0.32        0.06    5.22     31.00    0.00       0.20    0.45 
    {'Genotype_hAPP'               }        0.17        0.08    2.12     31.00    0.04       0.01    0.34 
    {'Drug_Pre'                    }        0.02        0.03    0.52     31.00    0.61      -0.05    0.08 
    {'Sex_M'                       }        0.06        0.09    0.70     31.00    0.49      -0.12    0.24 
    {'Genotype_hAPP:Drug_Pre'      }        0.32        0.05    6.40     31.00    0.00       0.22    0.43 
    {'Genotype_hAPP:Sex_M'         }        0.06        0.13    0.42     31.00    0.68      -0.22    0.33 
    {'Drug_Pre:Sex_M'              }        0.05        0.04    1.17     31.00    0.25      -0.04    0.14 
    {'Genotype_hAPP:Drug_Pre:Sex_M'}        0.02        0.09    0.24     31.00    0.81      -0.16    0.21 
Random effects covariance parameters:
Group: Slice (20 Levels)
    Name1                  Name2                  Type            Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std' }        0.13    
    {'Drug_Pre'   }        {'(Intercept)'}        {'corr'}        1.00    
    {'Drug_Pre'   }        {'Drug_Pre'   }        {'std' }        0.06    
Group: Exp (12 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.00    
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.09