It is difficult to see which of the results are correct without doing further convergence tests. If you decrease the broadening parameter value, you should also check if the results are converged with respect to the k-point sampling. As a matter of fact, you should check this convergence for 300 K broadening as well. If the results (converged with respect to k-point sampling for each temperature!) are sensitive to broadening, one should further decrease broadening, increasing the k-point sampling accordingly. This a general procedure for any kind of calculations involving artificial broadening of the Fermi-Dirac distribution.