A scientific model must be abandoned if it consistently fails to predict outcomes or explain observations after rigorous testing and validation. Additionally, if new evidence emerges that fundamentally contradicts the model's core principles or assumptions, it would necessitate its reevaluation. The model should also be set aside if it cannot be adjusted or refined to accommodate new findings within a reasonable framework. Ultimately, the integrity of scientific inquiry demands that models evolve or be discarded in light of more accurate or comprehensive alternatives.
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