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The large number of original total scenarios yields an optimization problem which is intractable.
The GA convergence rate (i.e., ratio between number of scenarios converged to a Nash equilibrium and total scenarios) is 1.
Number of scenarios where MSEem > MSEavg or Cgem > Cgavg out of 18 total scenarios for each cell.
This method was applied to all six variables that contain multiple input values (three input values each) for a total of 729 (=3) total scenarios for each cohort analysed.
Each participant was given brief, written instructions to resolve the CRC clinical reminder (i.e., order CRC screening and complete the rest of the reminder dialog) for two patient scenarios for each design (four total scenarios), with relevant patient information necessary to complete the reminder.
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In order to address the second paradox, we consider scenarios with symmetrical versus asymmetrical imbalanced marginal totals (scenarios 4-8 with same PO = 0.60) and scenarios with perfect symmetrical imbalance versus imperfect symmetrical imbalance (scenarios 9-10 with same PO = 0.90).
Kappa, alpha and delta have higher values of agreement for asymmetrical imbalance (scenarios 5 and 7) than for symmetrically imbalanced marginal totals (scenarios 4 and 6), contrary to what is desired.
In total, these scenarios comprised 16 different sub-scenarios (Fig. 2).
In total, six scenarios were explored, based on the three FP scenarios and a binary variable indicating whether or not harvested biomass was assumed to substitute for fossil intensive products.
In total, nine scenarios are compared.
In total, 58 scenarios were tested in this study (see full list in Appendix), with variables in three thematic areas, shown in Table 2.
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