More and more effort can be put in making this model predict reality perfectly.
However, this perfection comes at a price: researchers invest time and money in improving the model.
Being explicit about the cost and benefits of continued modeling may help to make informed decisions that are understood by both sides.
[3] ROME is a metric, which can be evaluated wherever modelling is performed with a quantifiable goal.
Examples include: The initiative "Models at Work" studies the creation, management and use of domain models in scientific and industrial practice, aiming at a diversity of goals, varying from (as truthful as possible) representation of the conceptual structure of the domain that is modelled, via animation, simulation, execution and gamification, until automated (logic-based) reasoning.