All scores should be normalized when the total score is calculated (between 0 and 1, then adjusted with the weighing given), but in the results file the raw scores are exported, as these are also useful (and it’s easy to repeat the normalization). MoNA Exact Similarity should be between 0 and 1, whereas the MoNA MetFusion-style score can be greater than one – this is a function of the way it is calculated (see e.g. the MetFusion paper). If the MetFusion score is far above one it’s a sign that there are a lot of similar spectrum/structure combinations adding weight to the identification, if they are well below one there’s not much similar on record … does that help?

The MetFusion scores are normalized along with everything else, so they only count a maximum of 1 to the total score in the end. The values that are greater than one that you see are the non-normalised “raw” values. (c.f. publications, also normalized to 1 in the final score, but sometimes in the 100s or 1000s in the “raw” values)