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improve doc display
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docs/src/model_creation/examples/noise_modelling_approaches.md

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@@ -89,6 +89,7 @@ repressilator_Kin = @reaction_network begin
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    hillr(Y,v,K,n), ∅ --> Z
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d, (X, Y, Z) --> ∅
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end
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```
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Finally, we will again perform ensemble simulations of our model. This time, at the beginning of each simulation, we will use `make_K_series` to generate a new $K$, and set this as the `K_in` parameter's value.
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```@example noise_modelling_approaches
@@ -109,6 +110,7 @@ Finally, we will observe an interesting phenomenon for ensembles of stochastic o
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```@example noise_modelling_approaches
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sol_intrinsic = solve(eprob_intrinsic, ImplicitEM(); trajectories = 200)
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sol_extrinsic = solve(eprob_extrinsic; trajectories = 200)
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```
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Next, we can use the `EnsembleSummary` interface to plot each ensemble's mean activity (as well as 5% and 95% quantiles) over time:
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```@example noise_modelling_approaches

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