How to extract the MIP gap from lpsolve result ?

Hi, I am trying to solve an LP using mxlpsolve for matlab. I would like to extract the value of the gap (see in bold below). How can i achieve it ? Any help will be really appreciated !

>> mxlpsolve('solve', lp)

Model name: '' - run #1 Objective: Minimize(R0)

SUBMITTED Model size: 5 constraints, 11 variables, 30 non-zeros. Sets: 0 GUB, 0 SOS.

Using DUAL simplex for phase 1 and PRIMAL simplex for phase 2.

The primal and dual simplex pricing strategy set to 'Devex'.

Relaxed solution 0.404166666667 after 6 iter is B&B base.

Feasible solution 0.42 after 7 iter, 1 nodes (gap 1.1%)

Optimal solution 0.42 after 8 iter, 2 nodes (gap 1.1%).

Excellent numeric accuracy * = 0

 MEMO: lp_solve version 5.5.2.0 for 64 bit OS, with 64 bit REAL variables.
      In the total iteration count 8, 0 (0.0%) were bound flips.
      There were 1 refactorizations, 0 triggered by time and 0 by density.
       ... on average 8.0 major pivots per refactorization.
      The largest [LUSOL v2.2.1.0] fact(B) had 15 NZ entries, 1.0x largest basis.
      The maximum B&B level was 2, 0.1x MIP order, 2 at the optimal solution.
      The constraint matrix inf-norm is 140, with a dynamic range of 2800.
      Time to load data was 18.152 seconds, presolve used 0.001 seconds,
       ... 0.001 seconds in simplex solver, in total 18.154 seconds.

ans =

     0

>> mxlpsolve('get_variables', lp)

ans =

    0.4200
         0
         0
    1.0000
         0
    1.0000
         0
         0
         0
    1.0000
         0

>> mxlpsolve('get_col_name', lp)'

ans =

    'Temp'
    'x_1_1'
    'x_1_2'
    'x_1_3'
    'x_1_4'
    'x_2_1'
    'x_2_2'
    'x_2_3'
    'x_3_1'
    'x_3_2'
    'x_3_3'

>> mxlpsolve('get_mip_gap', lp, 1)

ans =

   1.0000e-11 *---> Isnt it supposed to give me value of 1.1% ??*

Regards, Nikhil