First, the level of accuracy at a given gap percentage is higher in the Bayesian, PhyML and MP analyses when compared to the other analyses, especially at higher gap percentages, when the comparison is made for the MD treatment (which is common among the inference methods, except of course, ML ε, which is an integrated gap-coding/phylogenetic analysis method).
The average priorities for the second level criteria of accuracy, complications, and test preparation were 0.457, 0.321, and 0.223, respectively, indicating that participants considered accuracy as the most important, followed by complications, and test preparation.
Since the accuracy of the scenario modeling cannot be always guaranteed first, the high level of accuracy of deterministic models does not mean that they are realistic.
Chargaff's second parity rule (CPR2) states that at a lower level of accuracy the first rule also extends to a single strand of DNA [9] [12].
Furthermore, extensive comparisons with exact solutions and with the second-order Godunov scheme of Glaz and Wardlaw based on the Eulerian formulation show that the first-order Lagrangian method generally attains the same level of accuracy as the second-order Eulerian method and is even better in resolving slip line discontinuities.
The second version provides the same level of accuracy except for one crystal orientation.
In Experiment 3, the first and the second constituent were read with the same level of accuracy.
