diff --git a/docs/src/index.md b/docs/src/index.md
index 5e03723904..40001a997b 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -41,7 +41,7 @@ etc).
 - Model steady states can be [computed through homotopy continuation](@ref homotopy_continuation) using [HomotopyContinuation.jl](https://github.com/JuliaHomotopyContinuation/HomotopyContinuation.jl) (which can find *all* steady states of systems with multiple ones), by [forward ODE simulations](@ref steady_state_solving_simulation) using [SteadyStateDiffEq.jl)](https://github.com/SciML/SteadyStateDiffEq.jl), or by [numerically solving steady-state nonlinear equations](@ref steady_state_solving_nonlinear) using [NonlinearSolve.jl](https://github.com/SciML/NonlinearSolve.jl).
 - [BifurcationKit.jl](https://github.com/bifurcationkit/BifurcationKit.jl) can be used to [compute bifurcation diagrams](@ref bifurcation_diagrams) of model steady states (including finding periodic orbits).
 - [DynamicalSystems.jl](https://github.com/JuliaDynamics/DynamicalSystems.jl) can be used to compute model [basins of attraction](@ref dynamical_systems_basins_of_attraction), [Lyapunov spectrums](@ref dynamical_systems_lyapunov_exponents), and other dynamical system properties.
-- [StructuralIdentifiability.jl](https://github.com/SciML/StructuralIdentifiability.jl) can be used to [perform structural identifiability analysis](@ref structural_identifiability).
+<!--- [StructuralIdentifiability.jl](https://github.com/SciML/StructuralIdentifiability.jl) can be used to [perform structural identifiability analysis](@ref structural_identifiability).-->
 - [Optimization.jl](https://github.com/SciML/Optimization.jl), [DiffEqParamEstim.jl](https://github.com/SciML/DiffEqParamEstim.jl), and [PEtab.jl](https://github.com/sebapersson/PEtab.jl) can all be used to [fit model parameters to data](https://sebapersson.github.io/PEtab.jl/stable/Define_in_julia/).
 - [GlobalSensitivity.jl](https://github.com/SciML/GlobalSensitivity.jl) can be used to perform [global sensitivity analysis](@ref global_sensitivity_analysis) of model behaviors.
 - [SciMLSensitivity.jl](https://github.com/SciML/SciMLSensitivity.jl) can be used to compute local sensitivities of functions containing forward model simulations.
@@ -233,4 +233,4 @@ versioninfo() # hide
 ```
 ```@raw html
 </details>
-```
\ No newline at end of file
+```
diff --git a/docs/src/inverse_problems/optimization_ode_param_fitting.md b/docs/src/inverse_problems/optimization_ode_param_fitting.md
index 5834b96823..08cb8adf05 100644
--- a/docs/src/inverse_problems/optimization_ode_param_fitting.md
+++ b/docs/src/inverse_problems/optimization_ode_param_fitting.md
@@ -78,7 +78,7 @@ plot!(fitted_sol; idxs = :P, label = "Fitted solution", linestyle = :dash, lw =
 ```
 
 !!! note
-    Here, a good exercise is to check the resulting parameter set and note that, while it creates a good fit to the data, it does not actually correspond to the original parameter set. [Identifiability](@ref structural_identifiability) is a concept that studies how to deal with this problem.
+    Here, a good exercise is to check the resulting parameter set and note that, while it creates a good fit to the data, it does not actually correspond to the original parameter set. Identifiability is a concept that studies how to deal with this problem.<!--NTS: re-add ref when identifiablity works again-->
 
 Say that we instead would like to use the [Broyden–Fletcher–Goldfarb–Shannon](https://en.wikipedia.org/wiki/Broyden%E2%80%93Fletcher%E2%80%93Goldfarb%E2%80%93Shanno_algorithm) algorithm, as implemented by the [Optim.jl](https://github.com/JuliaNLSolvers/Optim.jl) package. In this case we would run:
 ```@example diffeq_param_estim_1 
@@ -187,4 +187,4 @@ If you use this functionality in your research, please cite the following paper
 
 ---
 ## References
-[^1]: [Alejandro F. Villaverde, Dilan Pathirana, Fabian Fröhlich, Jan Hasenauer, Julio R. Banga, *A protocol for dynamic model calibration*, Briefings in Bioinformatics (2023).](https://academic.oup.com/bib/article/23/1/bbab387/6383562?login=false)
\ No newline at end of file
+[^1]: [Alejandro F. Villaverde, Dilan Pathirana, Fabian Fröhlich, Jan Hasenauer, Julio R. Banga, *A protocol for dynamic model calibration*, Briefings in Bioinformatics (2023).](https://academic.oup.com/bib/article/23/1/bbab387/6383562?login=false)