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Update docs/src/inverse_problems/structural_identifiability.md
Co-authored-by: Sam Isaacson <[email protected]>
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docs/src/inverse_problems/structural_identifiability.md

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@@ -25,7 +25,7 @@ StructutralIdentifiability currently assesses identifiability for the first two
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Local identifiability can be assessed using the `assess_identifiability` function. For each model quantity (parameters and variables), it will assess whether they are:
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- globally identifiable.
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- locally identifiable.
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- Unidentifiable.
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- unidentifiable.
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To it, we provide our `ReactionSystem` model and a list of quantities that we are able to measure. Here, we consider a Goodwind oscillator (a simple 3-component model, where the three species $M$, $E$, and $P$ are produced and degraded, which may exhibit oscillations)[^2]. Let us say that we are able to measure the concentration of $M$, we then provide designate this using the `measured_quantities` argument. We can now assess identifiability in the following way:
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```example si1

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