ideal output for reviewing LinkML enums?

[turbomam]

Especially enums that have meaning added with linkml_model_enrichment/annotators/enum_annotator.py

1. Are there multiple enums with the same meaning
   • then how to repair? make some of the enum names synonyms?
2. Which enums have no meaning assigned?
3. Which enum meaning are suspect because the name and the meaning-based description are lexically different? How much of a difference is noteworthy?
   • A change in one letter or digit in a strain (organism) might indicate an entirely wrong meaning assignment
   • But meaning can be assigned based on a synonym, in which case the name and description could be entirely different
   • What string distance metric should we use? Cosine? SIFT4?

[turbomam]

python linkml_model_enrichment/annotators/enum_annotator.py \
--modelfile availabilities.yaml \
--tabular_outputfile mapping.log \
--ontoprefix NCBITaxon \
--enum_list strained_enum \
--replaced_chars Z

hopefully the enum names don't contain and Zs! I wanted to be sure not to drop _s or -s

[turbomam]

poetry run python md2tsvs/md2tsvs.py \
--mdfile  ../synbio-schema/handcrafted/generated/docs/binomial_name_enum.md \
--distcol0 0 --distcol1 1 \
--static_table_num 1

[turbomam]

Note that some strains aren't getting valid meaning assignments because NCBI hasn't recorded many strains for the organism, like https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=Info&id=4952&lvl=3&lin=f&keep=1&srchmode=1&unlock