`MatchForAlbum(albumID)` is the question the album detail page needs to
ask on open: does the autotagger already have something confident to
say about this album, and what would applying it do.
**It costs no MusicBrainz request.** Everything it needs is on disk —
`tagging_items` carries the top score and release from the background
prefetch, `tagging_candidates` durably holds the scored list. The rate
limiters here are shared with every page the user can open, so a lookup
that fires on page load must not join that queue; a folder nobody has
scored yet answers "nothing", rather than scoring it now.
**The tier is computed, not read.** `tagging_items.score` is the raw
number and `Recommend` is what turns it into a claim, capping it for an
ambiguous runner-up, an incomplete alignment or a folder too small to
corroborate itself. Filtering on the stored score would promise
confidence the scorer had explicitly withheld — which the two-track
test pins.
**Nothing is said about an album the user has already answered for.**
Only a `pending` group qualifies: `confirmed` covers both a finished
apply and an explicit "leave as is", and arguing with the second would
be actively wrong.
The join is `audio_files.group_key`, not a key derived from the folder
path, because a group carved out of a mixed-bag folder is keyed on its
tags — so a path-derived key would find nothing for exactly the
messiest libraries this helps. `GroupCount` is returned because a
multi-disc album is one group per disc: a caller that applied to "the
album" from a single button would retag one disc of three.
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