d.
From the confidence bounds on these plots it can be seen that for both the number of non-corporates and the number of cited references by priority year the variance is highest at the start of the emergence phase: this is often when the least amount of data is available for comparing each technology, so this is not entirely surprising as this represents the point of greatest uncertainty. However, Fig. \ref{822351} and Fig. \ref{942889} also illustrate how the influence these two patent dimensions have on the predicted mode of substitution varies with time during the emergence phase. More specifically, deviations away from zero in these coefficient functions equate to an increased positive or negative weighting for the associated patent indicator count at that moment in time, within the determination of the predicted mode of substitution. As such it can be seen that any patent indicator counts at t = 0 for the number of non-corporates by priority year (assuming these are present) will have a more significant influence on the final mode of substitution predicted. Equally, these particular regression results would suggest that the impact of non-corporates activity next peaks around 40% of the way through the emergence phase (potentially corresponding to the hype effect suggested previously), and again at the end of the emergence phase. For the number of cited references by priority year, this regression model suggests that the times of greatest impact on the mode of substitution are at the very beginning and at the very end of the emergence stage respectively. Whilst these coefficient plots gives some indication of the relative weighting applied to patent indicator counts as time progresses, the cumulative nature of the inner products used in Eq. \ref{eq:sedov} makes it difficult to visually infer from these plots alone which mode the technology under evaluation is currently converging towards. For this it is also necessary to include the corresponding patent indicator count values that these coefficient terms are multiplied by for the specific technology being assessed.