Final answer:
Models of systems have a limited scope and scale, which allows them to simplify complex systems for study but prevents them from capturing every aspect. While they offer predictive insights, their validity is limited compared to scientific laws.
Step-by-step explanation:
Models of systems represent only certain aspects of the system under study due to their limited scope and scale. This means that while models are extremely useful in understanding complex systems, they do not capture every detail of the real system. Scientific models, such as the Bohr model of the atom, provide a visual or mathematical representation of a system that aids in explaining certain behaviors or properties, but absolute accuracy is unattainable due to the inherent simplifications and abstractions of the model. For complex systems, models allow scientists to focus on specific aspects without getting overwhelmed by the system's intricacy. Analytical and simulation models can provide predictive insights into the systems they represent, but they too operate within the confines of their defined parameters and cannot encompass every real-world variable. Models, therefore, have limited validity, unlike scientific laws which are considered universally valid.