Whereas, the knownness status of a NP can definitely align with its confident annotation, the unknownness lies behind the misannotation and the failure of the tools. Interestingly, thanks to MS2DECIDE's visible and interpretable six inputs, NP chemists can efficiently assess and evaluate the annotation of a node and make their own judgment about its priority. This feature can be used to assign Metabolomics Standards Initiative -inspired level of confidence for the multi-annotated features. For instance, the nodes exhibiting the highest match scores (at least 0.7) and the best agreement between the annotation tools (Tanimoto values close to 1) can definitely be considered as known and assigned a high level of confidence for their annotation. Similarly, nodes exhibiting match scores at least 0.3 with t g,i or t s,i close to 1 can be assigned a good level of confidence: as ISDB-LOTUS applies an exact mass search (tolerance = 0.02), its candidate molecule being structurally consistent with another tool leads to a stronger suspicion of correct match. Lastly, features bearing tg,s = 1 can be considered as highly confident if their match scores reach at least 0.5 and the exact masses of the annotations are strictly coincidental with that of the feature.