1. Introduction  
2. Machine Learning Frameworks for Predictions in Unmonitored Sites  
2.1. Broad-scale models using all available entities or a subgroup of entities  
2.2. Transfer learning  
2.3. Cross-cutting theme: knowledge-guided machine learning  
3. Summary and Discussion  
3.1. Open Questions for Further Research  
4. Conclusion