You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Diving deeper into the quality–cost tradeoff between BERT and ColBERT, Figure 4 demonstrates the relationships between FLOPs and effectiveness (MRR@10) as a function of the re-ranking depth k when re-ranking the top-k results by BM25, comparing ColBERT and BERT{}_{\textnormal{base}} (our training). We conduct this experiment on MS MARCO (Dev). We note here that as the official top-1000 ranking does not provide the BM25 order (and also lacks documents beyond the top-1000 per query), the models in this experiment re-rank the Anserini (Yanget al., 2018) toolkit’s BM25 output. Consequently, both MRR@10 values at k=1000 are slightly higher from those reported in Table 1.

Question: What are the metrics they used for measuring efficiency and effectiveness?
They used (MRR@10) for measuring efficiency and effectiveness .