Update docs/src/model_simulation/simulation_introduction.md

Co-authored-by: Sam Isaacson <[email protected]>

Author: TorkelE

docs/src/model_simulation/simulation_introduction.md

@@ -79,7 +79,7 @@ These three different approaches are summed up in the following table:
 ```
 
 ## [Performing (ODE) simulations](@id simulation_intro_ODEs)
-The following section gives a (more throughout than [previously](@ref introduction_to_catalyst_massaction_ode)) introduction of how to simulate Catalyst models. This is exemplified using ODE simulations (some ODE-specific options will also be discussed). Later on, we will describe things specific to [SDE](@ref simulation_intro_SDEs) and [jump](@ref simulation_intro_jumps) simulations. All ODE simulations are performed using the [OrdinaryDiffEq.jl](https://github.com/SciML/OrdinaryDiffEq.jl) package, which full documentation can be found [here](https://docs.sciml.ai/OrdinaryDiffEq/stable/). A dedicated section giving advice on how to optimise ODE simulation performance can be found [here](@ref ode_simulation_performance)
+The following section gives a (more complete introduction of how to simulate Catalyst models than our [previous introduction](@ref introduction_to_catalyst_massaction_ode)). This is illustrated using ODE simulations (some ODE-specific options will also be discussed). Later on, we will describe things specific to [SDE](@ref simulation_intro_SDEs) and [jump](@ref simulation_intro_jumps) simulations. All ODE simulations are performed using the [OrdinaryDiffEq.jl](https://github.com/SciML/OrdinaryDiffEq.jl) package, which full documentation can be found [here](https://docs.sciml.ai/OrdinaryDiffEq/stable/). A dedicated section giving advice on how to optimise ODE simulation performance can be found [here](@ref ode_simulation_performance)
 
 To perform any simulation, we must first define our model, as well as the simulation's initial conditions, time span, and parameter values. Here we will use a simple [two-state model](@ref basic_CRN_library_two_states):
 ```@example simulation_intro_ode