Metacat

switch to the production ORCID server for looking up orcid matches for our creators.
add test to summarize how many creator matches we can actually find. https://projects.ecoinformatics.org/ecoinfo/issues/6423

change the hazelcast group name to be the default "metacat" instance so that the metacat-index tests pass without additional local configuration, at least when running a default metacat deployment.

do not set archived=false for all CN.create calls. The CN will use create() even harvesting content that is new to it and needs to handle already-archived content. https://projects.ecoinformatics.org/ecoinfo/issues/6475

cache the imported models to avoid timeouts from remote hosts (or being locked out for too many requests in a given time period).

process all the returned annotation suggestions until we find one that is appropriately located in the subclass hierarchy for the given superclass.

use in-memory TDB dataset for querying annotations for indexing -- this comes with the same reasoning capabilities as the directory-based one, but has the benefit of not filling the directory with triples that will not be used again. prepping for d1 AHM

when indexing annotations directly, just use an in-memory triple store rather than TDB since we remove each graph as it is processed (and my TDB instance would get into the multi-GB range with a few runs, even if I removed the old models)

redirect "short form" metacat read URIs to the the new Metacat UI using the configured UI context. This translates the docid -> pid to use the correct identifier for the correct service. https://projects.ecoinformatics.org/ecoinfo/issues/6546

simplify lookup for classes and orcid. remove the "random" annotation code branches -- just too confusing to look at those bogus classes especially now that we have "real" generated annotations.

Add admin service to update DOI registrations by specifying a list of formatIds or DOIs, or update all.