After discussing in #168, * [ ] Have each SIR value contain attributes about its interpretation from MIC/disk rules With at least: * About the clinical breakpoints used * Guideline name and year * Reference table name * Breakpoint used * Additional dependencies on rules, such as UTI or non-UTI * Original breakpoint* Metadata * MIC or disk as source * Date/time + timezone Then, * [ ] Update `sir` S3 methods to retain these attributes on data transformations Afterwards, * [ ] Update `antibiogram()` to be able to work with this * [ ] Create functions to retrieve these data, also on data set level (e.g., recreate the output now available in `sir_interpretation_history()`