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These are all now checked to make sure there's only one of the given children, but not that there are at least one of the given children. This is probably a more general 'add more validation' task, though.
Considering that SBML went in favor of allowing to encode partial models ... should we allow for partially setup tasks? But yes, more validation rules would probably be good.
Every parameter estimation task should have a child algorithm, objective, and at least one adjustable parameter and fit experiment.
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