# Semantic Search Audit

Generated: 2026-03-12T14:15:29.567Z

Files:
- `summary.json`: category counts and suggested audit order
- `all-plants-categories.csv`: one row per plant with its full category list
- `master.csv`: all category assignments with blank evidence columns
- `suspicious.csv`: entries that require elevated review based on rule flags
- `categories/*.csv`: per-category audit sheets

Suggested audit order:
- pet_friendly (15)
- air_purifier (12)
- medicinal (32)
- low_light (16)
- bright_light (42)
- sun (172)
- easy (132)
- high_humidity (51)
- hanging (34)
- tree (59)
- large (35)
- patterned (31)
- flowering (157)
- succulent (46)

Workflow:
1. Review one category CSV at a time.
2. Fill `audit_status`, `evidence_source`, `evidence_url`, and `notes`.
3. Apply only high-confidence source-tag corrections to the lexicon batch files.
4. Rebuild the server catalog from batches after source edits.
