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The heat transport parameters λrad,eff and αw have been optimized to give optimum agreement between experimental and calculated temperature profiles.
Simulations based on a statistical model have been used to calculate statistical parameters, such as the probability of adjacency (PA), for which optimum agreement is found for a value of 0.8.
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The optimum level of agreement between the endpoints and the 2010 classification score ways estimated by Cohen's ϰ coefficients.
Under selected optimum conditions, good agreements between the measured δ11B values and the reference values were obtained for the international reference minerals (B4, Dravite, Elbaite, IMMRB1 and Schorl), the NIST SRM 610 612 synthetic soda-lime glasses and the MPI-DING glasses (GOR-128-G, GOR-132-G, and StHs6/80).
Furthermore, for the optimum solutions, a significant agreement was indicated between the predicted and numerical values.
Ultimately, an experiment at optimum conditions revealed satisfactory agreement between the experimental and predicted data.
There is a good agreement between optimum conditions for methyl acetate concentration in the distillate, predicted by model and experimental data.
Finally, in our study, when everything else being equal, large populations would evolve to higher optimum mutation rates, in agreement with their third result.
The predicted values for optimum conditions were in good agreement with experimental data.
The experimental result obtained at the optimum condition is in good agreement with the predicted value.
The experimental response acquired (86.54 %) based on the modelled optimum conditions is in good agreement with the predicted response.
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